Gartner Business Intelligence Summit 2011 Magic Quadrant and Megavendor Comparison ... Data access; database; DBMS; RDBMS; data warehouse; ... data mining and predictive

• ThefutureofBI

• DevelopinganeffectiveBIstrategy

• Next-generationbusinessanalytics

• BIroadmaps

• Definingtherightmetrics

• LinkingBItobusinessstrategy

HOT TOPICS

From Information and Analysis to Maximum Decision Impact

To register visit gartner.com/us/bi or call 1 866 405 2511

May 2 – 4Los Angeles, CAgartner.com/us/bi

Gartner Business Intelligence Summit 2011

2 Register by March 11 and save $300.

Today’s organizations require real-time insights and faster decision making to adapt to new business patterns. Are you prepared to drive better decision making and business performance across your organization?

Be ready for next-generation BI analytics As business becomes increasingly more complex, the right combinations of information, coupled with the next generation of business analytics, will provide the means for faster, smarter and more consistent decision making, continuous improvements to business performance and greater efficiencies across the organization. The Gartner Business Intelligence Summit is the premier BI event, providing must-have insights, frameworks and best practices to learn how to exploit and maximize the business impact of new and important trends, innovations and technologies.

Must-have insights, frameworks and best practices In-depth sessions will cover the latest analytic applications and performance management trends, data management and integration, architectural frameworks, best practices and organizational models to give you the practical tools and insights needed to create and sustain successful BI initiatives. Sessions will cover topics on:• The trends and the next generation of BI analytics and performance management

technologies and applications.• How these new trends and technologies will deliver better integration of business,

decision, analytical and information processes. • How to implement business analytics initiatives that drive better decision making

and business performance across the organization. • How to manage big data, integrate diverse information, information governance

and data modeling.• The latest in vendor selections and evaluations.

3Visit gartner.com/us/bi or call 1 866 405 2511.

2 Overview 3 Benefits of Attending 4 Keynote Sessions 5 Meet the Analysts 6 Summit Tracks 7 Summit Highlights 8 Agenda at a Glance 10 Solution Showcase 11 Registration

Recognize BI excellenceMany organizations have achieved a high degree of excellence from their investments in BI, analytic applications and performance management. The Gartner Business Intelligence Excellence Award recognizes the most successful recent BI implementations that demonstrate high levels of business impact and overall excellence in the integration of business, decision, analytical and information processes.

To submit your application, go to gartner.com/us/bi. Applications must be received by close of business on Wednesday, March 16.

• Leaders of BI and performance management initiatives

• Business sponsors of BI, analytics and performance management initiatives

• BI competency center managers

• Business analysts• Data warehousing, data

management managers and project managers

• IT and business strategists and planners

• Data/information architects• Enterprise and

application architects

Table of contents

Who should attend

New for 2011New research on the big trends, innovations and technologies. Enhanced networking experiences with others leading projects and programs similar to yours. Broader opportunities to expand your knowledge about best practices and methodologies. New features include:

• More focused content on the integration of processes, information and analysis.

• New research analysis on the next generation of BI, analytics and performance management.

• Celebrate BI excellence with the 2011 Gartner BI Excellence Award.


Keynote Sessions

Guest keynotesMeet the Newest Medium: Data StoriesWe’ll look at ways that researchers, artists and journalists are using storytelling techniques borrowed from film, comics and video games to travel the last mile from information to understanding. We’ll look at viral sensations that are sweeping the Internet, sophisticated interactive graphics from major news organizations like The New York Times and the Guardian, and buzzworthy data visualizations done for firms like GE, MTV and others. Lastly, how to stimulate conversations around data that help your own organization make better decisions.

Second City Communications: What an Intelligent Idea! A unique perspective on a serious topic from The Second City comedy troupe: The Second City has been performing sketch comedy in front of audiences for over 50 years, making it the standard by which comedy and improv in America are judged. Some of their most well-known alumni are Mike Myers, Chris Farley, Tina Fey, Steve Carell and Stephen Colbert to name a few. Imagine the fun we’ll have exploring the comic side of the oxymoron “business intelligence,” the debate over whether we master data or it masters us, absurd (yet painfully real) examples of data quality gaffs, and more.

Geoff McGheeCreative Director of Media and Communications, Bill Lane Center for the American West, Stanford University

Gartner keynotesThe Future of BIBill Hostmann, Vice President and Distinguished Analyst

BI Excellence Award—Finalist Presentations John E. Van Decker, Vice President; John F. Hagerty, Vice President and Distinguished Analyst

Gartner Magic Quadrant and Megavendor Comparison Power SessionTed Friedman, Vice President and Distinguished Analyst; Rita L. Sallam, Director; Alex Soejarto, Vice President; Donald Feinberg, Vice President and Distinguished Analyst; John E. Van Decker, Vice President Host: Bill Hostmann, Vice President and Distinguished Analyst

Industry Thought Leader Panel: The Battle Royale—The New IT Infrastructure vs. the Traditional InfrastructureGartner Analysts


Focus areas: Data integration tools and technologies; data modeling; data warehouse; ETL; metadata management; SOA for data services; combining content and data integration

Mark A. BeyerVice President

Focus areas: Business intelligence; data quality; ETL; open source; mobile BI; location intelligence

Andy BittererVice President

Focus areas: Data access; database; DBMS; RDBMS; data warehouse; MapReduce; cloud DBMS; Latin America IT

Donald FeinbergVice President and Distinguished Analyst

Focus areas: Data quality and integration; data management strategy; data governance

Ted FriedmanVice President and Distinguished Analyst

Focus areas: Business activity monitoring; Web analytics; social media metrics; intelligent business operations; business analytics; Pattern-Based StrategyTM

Bill GassmanDirector

Focus areas: BI competency center; performance management; BI platforms; SaaS

John F. HagertyVice President and Distinguished Analyst

Focus areas: Enterprise information management and governance; MDM and information management

Anne LapkinVice President

Focus areas: Advanced analytics; CRM; data mining and predictive analytics; analytics and metrics; customer segmentation; real-time analytics

Gareth HerschelDirector

Focus areas: ERP; application overhaul; outsourcing

James HolincheckVice President

Focus areas: BI best practices; analytic applications; BI competency center

Bill HostmannVice President and Distinguished Analyst

Focus areas: Business intelligence; applications and platforms; vendor selection; BI strategy; TCO; collaborative decision making

Rita L. SallamDirector

Focus areas: Business/IT alignment; business metrics; communicating business value; IT financial management strategies; aligning IT strategy with business strategy; dashboard/scorecard

Michael SmithVice President

Focus areas: activity based costing and management; balanced scorecard; corporate performance management; budgeting/forecasting applications

John E. Van DeckerVice President

Focus areas: Organization design; business value of IT/corporate performance management; BI and decision impact; change management; IT demand and business transformation office

Patrick MeehanVice President

Focus areas: Supply chain risk management; strategic network design; inventory management and optimization; demand planning and collaborative forecasting; price management and optimization

Noha TohamyVice President

Focus areas: Corporate performance management; financial and management reporting; ERP; financial management applications; performance management

Nigel RaynerVice President

Focus areas: BI platforms; BI strategy; BI competency centers; predictive analytics and data mining; analytic applications

Kurt SchlegelVice President

Focus areas: Consulting and system integration; IT services and outsourcing; services sourcing strategies

Alex SoejartoVice President

Meet the Analysts


Agenda Tracks

Information Foundations This track focuses on the practices, architectural techniques and technologies for achieving consistent access to and delivery of data to meet the requirements of a diverse set of BI users, analytic applications and business processes.

BI Platforms and TechnologiesThis track focuses on how to: develop a BI platform strategy, evaluate and exploit BI platform capabilities and technologies, and define the necessary skills and ways they should be organized to develop the most effective implementations.

Analytic ApplicationsThis track focuses on the trends, best practices and use cases for analytic applications, and the integration points that must considered.

Integration With Business and Decision ProcessesThis track focuses on the social and organizational science aspects of the ways enterprises use information and analysis to better understand their current business operations, and how to plan for the future and the impact of their decisions.

NEW! Track E: Technical Insights—Data Architecture and DesignData is fluid, ever-changing, and an ever-new river of life for the organization. It is structured, unstructured, quasi-structured. It is inside and outside IT, in the cloud and the data center, volatile and inert. BI architecture designs must be fluid, immediate and unbounded to support enterprises that must adapt to an increasingly democratized, consumerized and externalized business world. This track presents architecture and design strategies for today’s data managers and architects to deploy that will meet modern business challenges.

Five tracks and over 60 sessions Agenda tracks


Summit Highlights

Get all this at one event—special conference features that maximize your experience60-Plus Gartner Analyst Sessions20 Gartner analysts will be on-site to present their latest research with strategic and tactical advice, including a Q&A.

Preconference TutorialsFive complimentary preconference sessions get you up-to-speed on BI with terms, definitions and an overall perspective.

Interactive WorkshopsFive analyst-led workshops offer a hands-on focus on a variety of topics for a range of BI maturity levels. Sessions provide an interactive learning experience within a small group setting. Seating is limited and reserved for end users.

End-User Case Study SessionsEight case study sessions offer a behind-the-scenes look at different organizations’ successes and challenges with their BI initiatives.

Solution Provider SessionsAn exclusive look at how new solutions and products work in the real world. Leading providers and their customers share best practices, strategies and offerings.

First-Class Peer NetworkingEngage in informal and structured networking opportunities such as the Sunday Power Networking Forum, hospitality suites, networking breakfasts by role, industry and platforms, and more.

BI Excellence AwardCelebrate the most successful recent BI implementation that demonstrates high levels of business impact and overall excellence in the integration of business, decision, analytical and information processes.

Have a private, 30-minute sit-down with one of our analysts who specialize in your area of opportunity and enjoy personalized and targeted advice.

Gartneranalystone-on-ones

Moderated by Gartner analysts, our popular peer roundtable sessions offer the opportunity to explore today’s hottest BI issues in an interactive, collaborative setting. They are about sharing best practices among peers.

Analyst-userroundtables

8 9Visit gartner.com/us/bi or call 1 866 405 2511.

Agenda at a Glance

Register by March 11 and save $300.

Sunday, May 12:00 p.m. Preregistration

3:00 p.m. Tutorial 1. The Basics of Data Warehousing Mark A. Beyer F Tutorial 2. The Basics of BI Andy Bitterer F Tutorial 3. Predictive Analytics Gareth Herschel F Tutorial 4. The Basics of CPM Nigel Rayner F

4:15 p.m. Power Networking Forum

Monday, May 27:00 a.m. Registration

7:15 a.m. Attendee Breakfast

7:30 a.m. Tutorial 5. Introduction to SOA, BPM and Event Processing Roy Schulte

F

8:15 a.m. K1a. Gartner Keynote: Welcome Address Bill Hostmann

8:30 a.m. K1b. Opening Keynote: The Future of BI Bill Hostmann

Track A Information Foundations Track B BI Platforms and Technologies Track C Analytic Applications Track D Integration With Business and Decision Processes Track E Technical Insights:

Data Architecture and Design

9:45 a.m. A1. The Grand Challenges of Information Management: Innovating to Make Your Infrastructure and Users Smarter Bill Hostmann, Ted Friedman

S A

IT

B1. BI and Performance Management: Market Trends and Dynamics Rita L. Sallam

F P

IT B

C1. Analytic Applications: More Than Just a Build vs. Buy BI Decision Gareth Herschel

F

IT

D1. From Business Intelligence to Intelligent Business Patrick Meehan

B IT

F

E1. Successful Strategies for Tuning BI and Analytics Infrastructure With Enterprise Architecture (EA) Vision, Models and Standards Joseph M. Bugajski

S IT

F

10:00 a.m. W1. BI Strategy and Maturity Bill Hostmann

11:00 a.m. A2. Ramp Up the IT Data Warehouse and Support Operational Technology Mark A. Beyer

F

IT

B2. BI and Performance Management: IT Services Trends and Vendors John F. Hagerty, Alex Soejarto

F IT

S

C2. The Evolving Importance of CPM in a BI, Analytics and PM Strategy John E. Van Decker

S B

IT

D2. Leveraging Leading Indicators for Better Performance Management Michael Smith

B IT

F

E2. Connect the Stars: Modeling Conformed Dimensions Nancy McQuillen

P IT

F

12:00 p.m. Attendee Lunch and Solution Provider Dessert Reception

2:00 p.m. A3. Extreme Data: Challenges and Opportunities for Large-Scale Data Warehousing, BI and Analytics Donald Feinberg

S IT

B A

B3. Desperately Seeking Insight? Mine Social Networks Bill Gassman

A S

IT B

C3. Key Issues for Models, Strategies and Options for SaaS BI/PM/Analytics John F. Hagerty

S

IT

D3. New Approaches to Budgeting, Planning and Forecasting Nigel Rayner

A S

B

E3. Taxonomies and Data Models: A Trip Through Parallel Universes Jamie Popkin

F

IT

2:00 p.m. W2. How to Build Leading Indicators That Matter Michael Smith, Patrick Meehan

3:15 p.m. Solution Provider Sessions and Case Studies

3:15 p.m. W3. Modeling the Organization Dimension for OLAP Nancy McQuillen

4:30 p.m. K2. The Battle Royale—The New IT Infrastructure vs. the Traditional Infrastructure Host: Donald Feinberg; Panelist: Mark Townsend, Vice President, Database Product Management, Oracle; Dave Campbell, Technical Fellow, Microsoft; Mike Olsen, CEO, Cloudera Inc.; Steven Brobst, CTO, Teradata Corporation; Sethu Meenakshisundaram, Senior Vice President, Products and Strategy, SAP Business Analytics

5:30 p.m. Solution Showcase Reception

Tuesday, May 37:00 a.m. Registration

7:15 a.m. Networking Breakfast

8:15 a.m. A4. Data Integration Strategies for Fueling BI/PM Initiatives Ted Friedman

F P

IT

B4. Assessing BI Platform Ownership Cost (BIPOC) Rita L. Sallam

P

IT

C4. The Role of Business Intelligence in Continuous Operations Bill Gassman

F

IT

D4. BI Competency Centers: The Decision Effectiveness Engine John F. Hagerty, Bill Hostmann

F P

IT B

E4. Computing and Analytics: Math Made Manageable Joseph M. Bugajski

A

IT

8:15 a.m. W4. Defining Your Portfolio of Analytic Applications Gareth Herschel

9:30 a.m. Solution Provider Sessions and Case Studies

10:45 a.m. K3. Guest Keynote General Session: BI Excellence Award—Finalist Presentations John E. Van Decker, John F. Hagerty

12:00 p.m. Attendee Lunch and Solution Showcase

2:00 p.m. A5. Case Study B5. Case Study C5. Supply Chain Performance Management: Needs and Solutions Noha Tohamy

F B

P IT

D5. Case Study E5. Text Analytics: Nothing Remains Unstructured Jamie Popkin

A

IT

2:00 p.m. W5. Metrics: Selecting the Right Business Measures Michael Smith

3:00 p.m. A6. Spinning BI Gold From Data in the Cloud Mark A. Beyer S IT

A

B6. Does “Agile BI” Deliver Agility? Andy Bitterer F P

IT

C6. Consumer Insight: What You Need to Know and How to Figure It Out Gareth Herschel

F B

IT

D6. Engaging the CFO: Putting CPM and BI in Action John E. Van Decker

A B

S

4:30 p.m. Solution Provider Sessions and Case Studies

5:30 p.m. K4a. Guest Keynote General Session: Meet the Newest Medium —Data Stories Geoff McGhee, Creative Director of Media and Communications, Bill Lane Center for the American West, Stanford University

5:30 p.m. K4b. BI Excellence Award Winner Announcement

6:45 p.m. Sponsored Hospitality Suites

Wednesday, May 47:00 a.m. Registration

7:15 a.m. Breakfast With Analysts

8:15 a.m. K5. Gartner Magic Quadrant™ and Megavendor Comparison Power Session Ted Friedman, Rita L. Sallam, Alex Soejarto, John F. Hagerty, Nigel Rayner, Donald Feinberg and John E. Van Decker Host: Bill Hostmann

10:00 a.m. Solution Provider Sessions

10:00 a.m. W6. Adding More Analysis to Reporting-Centric BI Programs Kurt Schlegel

11:30 a.m. A7. Best Practices for Data Quality Improvement: Ensuring BI Success Through High-Value Data Ted Friedman

F P

IT

B7. Mobile Business Intelligence—Finally Andy Bitterer A IT

S

C7. The Continuing Convergence of Business Intelligence and Business Applications Nigel Rayner

F

IT

D7. The CFO’s Impact on Technology Investment Decisions John E. Van Decker; William L. Overell, President, Overell Solutions

B IT

P

12:30 p.m. Attendee Lunch

1:30 p.m. A8. Business Intelligence and Master Data Management Synergy Kurt Schlegel

IT P

F

B8. Process Intelligence: Applying the Best of BI to BPM Roy Schulte

C8. Workforce Planning and Analysis Helps Unleash Your Biggest Competitive Weapon: Your People! James Holincheck

B IT

F

D8. How to Establish the “BI Brand”: What CxOs and Business Leaders Need to Know Patrick Meehan

B IT

P

2:45 p.m. A9. Enterprise Information Architecture and Enterprise Information Management 2011 Anne Lapkin

IT B

F S

B9. Consumerization and the Future of BI: Technologies to Drive Adoption Andy Bitterer

A

IT

D9. Decision Support 2.0: Maximizing Decision Impact With Collaborative Decision Making Rita L. Sallam

A IT

S

4:00 p.m. K6. Closing Guest Keynote: Second City Communications—What an Intelligent Idea! The Second City comedy troupe

5:00 p.m. Conference Adjourns

KEY F: Foundational Content A: Advanced Content B: Business S: Strategic P: Practical IT: Technology


Session Descriptions

KeynotesK1a. Welcome Address

TBA

Bill Hostmann, Vice President and Distinguished Analyst

K1b. The Future of BI

The future of BI will be focused on better business decisions. But that requires that we expand from today’s view of BI, which is often focused on silos of tools, information and technology, and define a future view where BI is a recognized as a core set of business competencies which fit more naturally and effectively within decision-making processes.


K2. The Battle Royale: The New IT Infrastructure vs. the Traditional Infrastructure

We are moving quickly to fabric computing with virtually integrated computing systems, new servers with storage-class memory and Flash, and SSD replacing spinning disk. In-memory DBMS and column-store could provide a single DBMS model for both transactional and analytical applications in the future. These are disruptive changes but promise new applications with low latency and high performance for predictive analytics, business analytics and Pattern-Based Strategy™. This will require changes to the way we develop and deploy business applications as well as to the ways we integrate transactional and BI analytic applications. A moderated panel of industry CTOs and thought leaders will discuss and debate current models versus new and evolving ones.

Key issues:• Is there really value in these new

systems and applications?• Will the in-memory column-store

DBMS be the answer for tightly integrating both OLTP and analytic applications?

• Can the traditional DW DBMS address this new paradigm?

• Will cloud-based infrastructure play a significant role?

• When and how will this change take place?

Hosts: Donald Feinberg; Panelists: Mark Townsend, Vice President, Database Product Management, Oracle; Dave Campbell, Technical Fellow, Microsoft; Mike Olsen, CEO, Cloudera Inc.; Steven Brobst, CTO, Teradata Corporation; Sethu Meenakshisundaram, Senior Vice President, Products and Strategy, SAP Business Analytics

K3. BI Excellence Award: Finalist Presentations

The Gartner BI Excellence Award highlights world-class BI and performance management initiatives and their successes, challenges and insights. In this keynote, three finalists from North American organizations will present their initiatives, and audience members will select the winner for 2011.

John E. Van Decker, Vice President; John F. Hagerty, Vice President and Distinguished Analyst

K4a. Meet the Newest Medium: Data Stories

We’ll look at ways that researchers, artists and journalists are using storytelling techniques borrowed from film, comics


and video games to travel the last mile from information to understanding. We’ll look at viral sensations that are sweeping the Internet, sophisticated interactive graphics from major news organizations like The New York Times and the Guardian, and buzzworthy data visualizations prepared for firms like GE and MTV. Lastly we’ll explore ways to stimulate conversations around data that will help your own organization make better decisions.

Geoff McGhee, Creative Director of Media and Communications, Bill Lane Center for the American West, Stanford University

K4b. BI Excellence Award Winner Announcement

K5. Gartner Magic QuadrantTM and Megavendor Comparison Power Session

Who are the competing vendors in the major BI and PM technology markets? The Gartner Magic Quadrant™ is a culmination of research in a specific market, giving you a wide-angle view of the relative positions of the market’s competitors. This session will also cover the four Megavendors (IBM, Microsoft, Oracle and SAP) that have been investing aggressively and are dominating the market. Understanding their plans and road maps is key for success with your BI and PM strategy. This is your chance to hear Gartner analysts at their best—unbiased, unscripted and unfiltered. It is also your chance to ask the questions that will help you with your investments.

Ted Friedman, Magic Quadrant: Data Management and Integration

Rita L. Sallam, Magic Quadrant: BI Platforms; Megavendor: Microsoft

Alex Soejarto Magic Quadrant: Service Providers

John F. Hagerty, Megavendor: IBM

Nigel Rayner, Megavendor: Oracle

Donald Feinberg, Magic Quadrant: DW DBMS; Megavendor: SAP

John E. Van Decker, Magic Quadrant: CPM Suites

Host: Bill Hostmann

K6. Second City Communications: What an Intelligent Idea!

A unique perspective on a serious topic from The Second City comedy troupe. The Second City has been performing sketch comedy in front of audiences for over 50 years, making it the standard by which comedy and improv in America are judged. Some of their most well-known alumni are Mike Myers, Chris Farley, Tina Fey, Steve Carell and Stephen Colbert to name a few. Imagine the fun we’ll have exploring the comic side of the oxymoron “business intelligence,” the debate over whether we master data or it masters us, absurd (yet painfully real) examples of data quality gaffs, and more.

The Second City comedy troupe

Track A Information FoundationsA1. The Grand Challenges of Information Management: Innovating to Make Your Infrastructure and Users Smarter

With unprecedented growth in data volume and complexity, you need breakthrough approaches to dramatically

A Advanced

F Foundational

B Business

S Strategic

P Practical

IT Technology



increase your information management competencies. By harnessing four key information infrastructure innovations, you can begin to manage information as a strategic asset, identify patterns and support diverse information services. Key issues:• What are the “grand challenges” of

information management, and how do they impact your organization?

• How can CIOs begin to deploy smarter information infrastructure and leverage other key information management innovations?

• What key information management technologies will fulfill the promise of information infrastructure?

Bill Hostmann, Vice President and Distinguished Analyst; Ted Friedman, Vice President and Distinguished Analyst

S A IT

A2. Ramp Up the IT Data Warehouse and Support Operational Technology

Operational technology (OT) provides large volumes of rapidly produced data at very high speeds of communication. How will the mission-critical data warehouse promote the use of analysis engines in the OT-IT convergence? Has the day of the high-speed operational data store finally arrived? Key issues:• What challenges exist in the highly

disparate service-level expectations of OT and BI?

• Can real-time warehousing and BI techniques help with OT-IT convergence?

• What will change in data quality and integration expectations with OT-IT convergence?

Mark A. Beyer, Vice President

F IT

A3. Extreme Data: Challenges and Opportunities for Large-Scale Data Warehousing, BI and Analytics

Everyone agrees that the volume of data we attempt to manage is exploding. However, volume (“big data”) does not present the sole challenge. We must also consider the velocity, variety and complexity of the data that, together with volume, define “extreme data.” Many information management challenges (regarding support of BI, analytics and Pattern-Based StrategyTM) can be addressed through improved understanding and competencies when dealing with extreme data. Key issues:• What is extreme data, how is it used

and what opportunities does it present for businesses?

• How does extreme data challenge today’s architectures and approaches for data management?

• What are the emerging techniques for harnessing extreme data and making it available and usable by business analytics?

Donald Feinberg, Vice President and Distinguished Analyst

S IT B A

A4. Data Integration Strategies for Fueling BI/PM Initiatives

Data integration architectures in support of BI continue to evolve. Organizations must now support a range of delivery styles, latencies and formats. At the same time, vendor and market convergence are making tools for data integration more readily available. Since these tools are critical components of a comprehensive information infrastructure in support of BI and other key initiatives, appropriate evaluation of core capabilities is a must.


• Why must organizations maximize their success with BI through a solid infrastructure for data integration and delivery?

• What are the trends in demand and architectures and tools?

• How will data integration technology and the associated markets evolve in the coming years?

Ted Friedman, Vice President and Distinguished Analyst

F P IT

A5. Case Study

TBA

A6. Spinning BI Gold From Data in the Cloud

Cloud computing and SaaS are facilitating new BI and data management strategies, and alternative ways to deploy tools. CIOs and IT leaders focused on information management initiatives need to address the opportunities and challenges within the business and within IT in order to fulfill their organizations’ information needs, including managing enterprise data in the cloud. Key issues:• What diverse business demands

are driving data into cloud-based deployments?

• What strategies do CIOs require to ensure they have the needed agility for crucial company data in the cloud?

• How are alternative data management delivery technologies evolving and how can leaders leverage them for success?


S IT A

A7. Best Practices for Data Quality Improvement: Ensuring BI Success Through High-Value Data

Data quality needs to be positioned as a business-focused discipline rather than a technology issue. Engaging the proper people, developing required skills and establishing specific roles are fundamental for achieving substantial progress in data quality improvement. In addition, the capabilities and usage of data quality tools are evolving, creating opportunities for organizations that seek to automate data quality controls. Key issues:• How do corporate culture and the

behavior of people influence the state of data quality?

• What are the critical roles and skills required for data quality improvement, and where in the organization should they reside?

• Where can data quality technology add value, and what is the state of the data quality tools market?


F P IT

A8. Business Intelligence and Master Data Management Synergy

The intersection of BI with MDM goes beyond simply feeding master data into the data warehouse. Many organizations struggle with providing master data for traditional BI information, such as dimensions and measures. Some BI programs have centralized approaches to provide more consistent information, but often this leaves business users without flexibility. Key issues:• Metrics: How can an enterprise metrics

framework deliver consistent measures that matter most to the business?

A Advanced

F Foundational

B Business

S Strategic

P Practical

IT Technology



• Organization: How can you establish an organizational model that creates sanctioned BI content without sacrificing business agility?

• Technology: What technologies can facilitate sanctioned master data for analytical content such as dimensions, measures and predictive models?

Kurt Schlegel, Vice President

IT F P

A9. Enterprise Information Architecture and Enterprise Information Management 2011

The benefits of holistic information management are clear: complete and trustworthy information allows business leaders to make better decisions, faster. The perils of fragmented information management—unnecessary cost, risk and loss of productivity—are equally clear. This presentation will allow you to assess the state-of-the-art of enterprise information management (EIM) and help you start or continue your own EIM journey. Key issues:• How can enterprises determine which

information assets should be managed in an EIM program?

• What organizational structures, roles and governance processes are needed to make EIM a reality and where does information architecture fit?

• How mature is EIM, and what best practices have emerged from existing EIM programs?

Anne Lapkin, Vice President

IT B F S

Track BBI Platforms and TechnologiesB1. BI and Performance Management: Market Trends and Dynamics

This presentation, with its foundation in Gartner market data, sheds light on the major current and megatrends driving the BI market, such as vendor consolidation, ecosystems, IT-business sourcing and increased adoption. Key issues:• How do organizations view BI and PM

investments relative to other IT-driven business priorities?

• How should users evaluate the market dynamics when making investment decisions?

• Which vendors are strategically positioned to lead in BI and PM?

Rita L. Sallam, Director

F P IT B

B2. BI and Performance Management: IT Services Trends and Vendors

Megatrends driving the IT services market, such as delivery standardization and cloud, are opening more options for implementing and running business intelligence, data warehousing and performance management initiatives. However, these shifts are in early stages. This session will explore the types of IT services available to execute a BI initiative. Key issues:• Which megatrends are changing the

IT services market?• What IT services are available to

execute a BI initiative?• How do you develop a sourcing

strategy for IT services?


John F. Hagerty, Vice President and Distinguished Analyst; Alex Soejarto, Vice President

F IT S

B3. Desperately Seeking Insight? Mine Social Networks

The data generated by the rapid adoption of social media offers unprecedented sources of insight. This presentation examines these emergent data sources, assesses how analytics can be applied, and explores best practices. Key issues:• What new data sources exist

because of the explosion of social network activity?

• What tools are available to measure the value of social media and how will the market evolve?

• What are the best practices for gaining and using the insight from social networks?

Bill Gassman, Director

A S IT B

B4. Assessing BI Platform Ownership Cost (BIPOC)

Cost is an increasingly important decision driver when choosing a BI platform. Organizations must look beyond initial license fees to assess BI platform ownership costs over time. This presentation discusses the BIPOC drivers compares vendors. Key issues:• What are the drivers of BIPOC?• How do vendors compare? How

do you compare apples to apples?• How should you use

BIPOC information in your purchasing decisions?


P IT

B5. Case Study

TBA

B6. Does “Agile BI” Deliver Agility?

The application of agile development styles to business intelligence (BI) and data warehousing (DW) is currently being positioned as a means of accelerating time-to-value. However, although useful, agile development is not a panacea for too commonly encountered BI issues. This session will explore why and how to best use a lighter touch and iterative approaches to the deployment of BI. Key issues:• How do development methodologies

impact BI?• How does agile BI relate to

self service BI?• What activities and competencies are

needed to promote agility?

Andy Bitterer, Vice President

P F IT

B7. Mobile Business Intelligence—Finally

The vast majority of organizations have largely ignored mobile BI, due to the lack of usability of earlier mobile devices. This is quickly changing with the proliferation of the Apple iPhone or Android phones, but even more so the new tablets, such as the Apple iPad, the

A Advanced

F Foundational

B Business

S Strategic

P Practical

IT Technology



Samsung Galaxy, or the Motorola Xoom, represents an inflection point. The portability, gesture enablement and presence location features enhance the user experience, and, with the larger touchscreens and interactivity, the new tablet generation finally has a form factor suitable for BI analysis beyond simple report viewing. Key issues:• What are vendors offering and how

will this capability evolve?• How does mobile BI fit into the

existing BI infrastructure?• What are real-world examples of

mobile BI deployments?


A IT S

B8. Process Intelligence: Applying the Best of BI to BPM

The traditional arms-length relationship between BI and application development limited the effectiveness of early SOA and BPM projects. A new generation of actively-intelligent business systems is emerging, embedding analytics and rules directly into process flows.• How are intelligent business

operations different from yesterday’s SOA systems?

• What are the best practices for using event-driven, embedded analytics?

• How will BAM, complex-event processing, rule engines, optimization, simulation and other decision management technologies affect the evolution of BPM product suites?

Roy Schulte, Vice President and Distinguished Analyst

B9. Consumerization and the Future of BI: Technologies to Drive Adoption

There seems to be no end to the trend toward the use of “workgroup” BI. Why? Because users want BI that’s fast, usable and relevant. This session will explore the technologies driving BI consumerization and how to get maximum value from the same. Key issues:• What is consumerization and how

does it impact BI?• What consumer-led technologies and

approaches facilitate BI?• How do you manage a BI portfolio?


A IT

Track CAnalytic ApplicationsC1. Analytic Applications: More Than Just a Build vs. Buy BI Decision

Analytic applications are one of the fastest growing categories of BI investment, but their value is not always understood by end users and vendors alike. This session will help organizations understand the potential of analytic applications in their BI portfolio, and provides the frameworks and guidelines for evaluating the many options available in the market. Key issues:• What are analytic applications and

what are their main categories?• How should organizations

evaluate whether to invest in analytic applications?


• Which vendors offer the most compelling vision for analytic applications?

Gareth Herschel, Director

F IT

C2. The Evolving Importance of CPM in a BI, Analytics and PM Strategy

Corporate performance management (CPM) is the most mature area of performance management, but as other areas emerge it will play a pivotal role in a comprehensive approach to performance management. It is vital to ensure consistency between financial, managerial and operational information through the convergence of financial governance applications. This session will explore how CPM is evolving and how organizations are deploying CPM as part of a BI, analytics and PM strategy. Key issues:• What is CPM and how is it evolving?• What is the customer experience with

CPM and what best practices ensure success?

• How should organizations plan for greater CPM adoption?

John E. Van Decker, Vice President

S B IT

C3. Key Issues for Models, Strategies and Options for SaaS BI/PM Analytics

Software as a service (SaaS) BI is emerging as a viable option for many organizations, but there are different business models and technology deployments that have emerged. For evaluators, this makes for a cluttered, confusing landscape, with many choices. In this presentation, we’ll discuss: the

major styles of SaaS BI/PM/analytics, case examples of where each has been deployed successfully, strategies to evaluate whether SaaS BI is an option for you, and which vendors participate in today’s ever-expanding landscape. Key issues:• What are the common vendor

business models for SaaS BI/performance management/analytics?

• What motivations contribute to a company’s pursuit of a SaaS BI/PM/analytics agenda?

• How successful has SaaS BI been?

John F. Hagerty, Vice President and Distinguished Analyst

S IT

C4. The Role of Business Intelligence in Continuous Operations

Information processing technology has matured to the point where it can aid operational decisions at all levels. By combining data from monitoring processes, transactions, social interactions with external data, and analysis, users are more aware of the situation they operate in. This presentation examines converging technology, offers examples of use and provides best practices in adopting this style of BI. Key issues:• What technologies are converging

to enable a new style of business operations intelligence?

• How are companies taking advantage of BI in continuous operations?

• What are the best practices for evolving an existing BI initiative to support operations?


F IT

A Advanced

F Foundational

B Business

S Strategic

P Practical

IT Technology



C5. Supply Chain Performance Management: Needs and Solutions

Gartner will outline users’ needs, best practices and available approaches to building an end-to-end supply chain performance management system. Key issues: • What is the scope of a supply chain

performance management system? • What are current needs in

tracking and managing supply chain performance?

• What are the solutions and approaches that have proven successful in supporting supply chain performance management?

Noha Tohamy, Vice President

F P B IT

C6. Customer Insight: What You Need to Know and How to Figure It Out

Analyzing customer relationships delivers obvious and extensive benefits to companies, but with a wide variety of vendors all claiming to deliver the same benefits to organizations, the selection process is becoming increasingly complex. Marketing has been a long-term user of analytics in most organizations, but sales and customer service are also becoming major users of analytic tools. Key issues:• What are the main categories of

investment in customer analytic applications and the benefits they bring?

• Who are the leading providers of customer analytic applications?

• What are some of the best practices for deploying customer analysis?


B F IT

C7. The Continuing Convergence of Business Intelligence and Business Applications

Organizations investing millions of dollars in business applications remain disappointed by reporting and analysis capabilities, and many BI projects are struggling to deliver business benefits. The emerging area of performance management is breaking down the barriers between these technology areas. This session will focus on key market and technology developments. Key issues:• What is performance management,

and how does IT complement BI and business applications?

• How are BI and business applications converging?

• How should CIOs plan to deploy technologies to support performance management?

Nigel Rayner, Vice President

F IT

C8. Workforce Planning and Analysis Helps Unleash Your Biggest Competitive Weapon: Your People!

Between 20% and 70% of your organization’s costs are people-related. Yet, it’s likely you don’t have a good handle on the return on that massive investment. Worse, you likely have little insight on how to improve that ROI over time. This session will discuss the ways that organizations are leveraging talent management applications and workforce planning, and will offer analysis to drive substantial improvements in business results. Key issues:• What are talent management

and workforce planning and analysis applications?


• How are companies driving business outcomes using these applications?

• What do the markets for these solutions look like?

James Holincheck, Vice President

B IT F

Track DIntegration With Business and Decision ProcessesD1. From Business Intelligence to Intelligent Business

Intelligence cannot be bought. An intelligent business develops the right culture and processes to ensure that the right information is available for people to make the right decisions at all levels of the organization. Leadership comes from developing a cross-enterprise perspective of information and processes supported by technology. Key issues: • How can IT leaders develop a

culture of BI?• How can BI be used to make

impactful workplace decisions?• What are the best approaches to

creating a cross-enterprise persepctive on BI?

Patrick Meehan, Vice President

B IT F

D2. Leveraging Leading Indicators for Better Performance Management

In performance management, leading indicators extend the value of lagging indicators and provide a competitive advantage. Companies that use leading indicators earn almost a 3% higher return on assets and more than a 5% higher return on equity. This presentation will demonstrate ways your BI programs

can extend lagging financial indicators by using leading business-performance indicators. Key issues:• What are leading indicators and why

do they matter?• How can companies overcome

the challenges of implementing leading indicators?

• What are the benefits of leading indicators and how are they used?

Michael Smith, Vice President

B IT F

D3. New Approaches to Budgeting, Planning and Forecasting

Most BI investments still remain focused on reporting and analyzing what has happened. Business users need to forecast and predict future business performance as much as understand what drove past performance. This session will focus on new approaches that leverage BI investments to deliver real power to business users. Key issues:• What is the difference between

budgeting, planning and forecasting?• How do budgeting, planning and

forecasting form part of a BI, analytics and PM strategy?

• How should technology that supports budgeting, planning and forecasting be deployed?


A S B

D4. BI Competency Centers: The Decision Effectiveness Engine

Gartner will present the findings of how companies organize, manage and use their BI competency center (BICC) to drive business success. Key issues:• What is the role and scope of the BICC?

A Advanced

F Foundational

B Business

S Strategic

P Practical

IT Technology



• What are the organization and funding models for the BICC?

• What are the barriers, benefits and lessons learned from leaders of BICCs?

John F. Hagerty, Vice President and Distinguished Analyst; Bill Hostmann, Vice President and Distinguished Analyst

F P IT B

D5. Case Study

TBA

D6. Engaging the CFO: Putting CPM and BI in Action

While BI, analytics and PM strategies are focused on financial data and the needs of the finance organization, the CFO plays a key role in enterprise technology decisions. The need for collaboration and education is critical to ensure effective sponsorship of BI investment. This session will explore the CFO perspective on IT and BI platforms and outlines ways to enlist the support of the CFO. Key issues:• How has the role of the CFO changed

in technology decisions?• What areas in finance and enterprise

BI/PM projects are critical for CFO sponsorship?

• How do you develop a true partnership with the CFO?

John E. Van Decker, Vice President

A B S

D7. The CFO’s Impact on Technology Investment Decisions

Understanding the finance organization’s perspective of technology is critical for CIOs and other IT leaders. However, the relationship between the finance and

IT departments remains challenging because of the perception that no value is achieved through IT investments. Working in partnership with Financial Executives International (FEI), Gartner has been surveying CFOs for the past three years to get their views on enterprise technology. This session will present an executive summary of the 2011 findings, which will be released in April.

John E. Van Decker, Vice President; William L. Overell, President, Overell Solutions

B IT P

D8. How to Establish the “BI Brand”: What CxOs and Business Leaders Need to Know

Business intelligence is no longer just a set of tools and technologies deployed by IT; BI has become an expected workplace competency, firmly rooted on a solid foundation of operational performance management. IT leaders have the opportunity to build a BI brand—within IT—to communicate the ways that BI connects multiple functional and revenue units to create a holistic, vertical and horizontal management framework. Key issues:


• What is the relationship between BI and corporate performance management?

• How does BI permeate every level of the workplace as a decision impact source?

• How can IT leaders best build, market and sell their BI brand?

Patrick Meehan, Vice President

B IT P

D9. Decision Support 2.0: Maximizing Decision Impact With Collaborative Decision Making

Too many organizational decisions are either made in isolation or based on flawed assumptions. This session will describe how new decision support systems can improve the transparency and quality of decisions. Key issues:• What types of decisions require new

collaborative decision environments?• How do you manage a BI portfolio?• What collaborative decision-making

products are available?• What are the best practices for

deploying collaborative decision making?


A IT S

NEW! Track ETechnical Insights: Data Architecture and DesignE1. Successful Strategies for Tuning BI and Analytics Infrastructure With Enterprise Architecture (EA) Vision, Models and Standards

Reports to the contrary notwithstanding, EA and BI are not enemies. Because BI infrastructures tap into data and

applications throughout the IT infrastructure, and because that data and those applications may be isolated as silos, changes in a silo can deleteriously affect the BI infrastructure. Therefore, one role for EA is to guide IT to deliver controlled changes that mesh well with the BI infrastructure. Furthermore, EA’s vendor and technology standards, its services architecture and its business support strategies enable BI and business applications to deliver innovative, modern, flexible and reliable technologies to the enterprise.

Joseph M. Bugajski, Vice President

S IT F

E2. Connect the Stars: Modeling Conformed Dimensions

Traditional OLAP is a critical aspect of enterprise BI, especially where metrics are expected to be consistent and comparable across the organization (e.g., sales statistics or financial performance measures). However, many organizations are still living with uncoordinated and unconnected data marts, star schemas and metrics. Dimensions are the glue that can connect the stars. This session introduces state-of-the-art methods and sample tools for planning and implementing conformed dimensions, thus achieving a data warehouse “bus architecture.” The techniques are equally applicable for designing a coherent data mart layer in environments by utilizing a “corporate information factory” approach, as described by data warehouse leader Bill Inmon.

The modeling discussion will progress through three layers, serving three

A Advanced

F Foundational

B Business

S Strategic

P Practical

IT Technology



respective audiences: business planners, data mart designers, and data mart implementers. Specific tools are utilized, but the principles apply more broadly: • Dimensional model business

requirements—methods: Ralph Kimball and Laura Reeves; tool: Microsoft Office.

• Logical and physical dimensional models—tool: Embarcadero ERStudio Data Architect.

• Dimension and OLAP data mart implementation—tool: Microsoft SQL Server Analysis Services.

Nancy McQuillen, Principal Research Analyst

P IT F

E3. Taxonomies and Data Models: A Trip Through Parallel Universes

How similar/dissimilar are taxonomies and data models? Historically, each has been created and maintained by siloed organizations for siloed, application-specific purposes. There is a growing demand from users to share data in new ways that require IT to break down the structured/unstructured data silos. For too long enterprises have been running their businesses on the information they can get and not the information they want to use. For a variety of reasons, structured and unstructured data have been treated separately. Given technological advances and overall high levels of data and document digitization, the obvious question is: why should structured and unstructured data operate in parallel universes? The barriers between the parallel universes are strong and well-defended, and have existed up until now without fatal results. Increasingly, the failure to break down the barriers is

leading to degraded competitive positioning, costly compliance violations and loss of operational agility. Key issues: • How to integrate taxonomies with

data models• Effects on data governance, data

management and integration• How breaking down barriers enables

new capabilities for enterprise search and analytics, as well as BI and performance management applications

Jamie Popkin, Vice President and Distinguished Analyst

F IT

E4. Computing and Analytics: Math Made Manageable

Although slice-and-dice, statistics and logic trees come from completely different branches of mathematics, these methods appear together in analytics tools. Furthermore, nearly identical mathematical methods extract information that points to the past, present, or future. In this session, Joseph M. Bugajski will describe a framework that can help nonmathematicians (i.e., most people) to properly select and use analytics methods as well as the results obtained by applying those methods.

Joseph M. Bugajski, Vice President

A IT

E5. Text Analytics: Nothing Remains Unstructured

Text analytics is difficult because language is complex, and so is deriving meaning from text in an automated way. With the growth of social media, text has never been more interesting. The overwhelming volume of digital-based text is driving interest in text analytics systems because


manual text mining is prohibitively expensive and physically infeasible in high-volume, high-value situations. Evaluation of commercially available text analytics systems is challenging because, apart from the shared objective to automatically derive meaning from text, these products can be vastly different in their architecture and operation. A comprehensive understanding of the basic technical architecture of a text analytics system is essential for building an optimal application portfolio focused on solving specific text-oriented business problems. Key issues:• Why is text analytics difficult?• What are the architectural elements of

a text analytics system?• Which text analytics applications

provide the greatest business value?


A IT

TutorialsT1. The Basics of Data Warehousing

Warehouses are often implemented without consideration for the basics. By understanding the basics of your DW environment, you can avoid some of the most common mistakes. Understanding why best practices are best and worst practices are worst allows the DW manager to recognize “new” approaches and judge their value. Key issues:• What are the different structures

that exist in the DW and their effect on optimization?

• What are underlying DW technologies?• How do I discern best, common and

worst practices?

• What DW options are available from vendors?


F

T2. The Basics of BI

This presentation provides an overview of the core BI capabilities and how they fit into an overall BI, performance management and analytics framework to improve decision making. Key issues:• What is business intelligence?• How is BI changing to reach

more users?• What are the 13 capabilities that

make up a successful BI platform?


F

T3. Predictive Analytics

Exactly what predictive analytics can (and cannot) do is frequently misunderstood. This tutorial will outline the value that predictive analytics, in its traditional form, is bringing to organizations, as well as some of the emerging uses of predictive analytics that are further increasing its value.


F

T4. The Basics of CPM

Organizations must understand what drives performance and how best to use CPM to drive business transformation. IT organizations need to work with the business in getting the basics of CPM right to help drive success. Key issues:• How does CPM help to identify what

drives organizational performance?

A Advanced

F Foundational

B Business

S Strategic

P Practical

IT Technology



• How can CPM initiatives be jump-started?

• How can CPM leverage BI investments?


F

T5. Introduction to SOA, BPM and Event Processing

This presentation is an overview of modern service-oriented architecture (SOA), business process management (BPM) and event processing, aimed at business analysts, managers and BI professionals who have heard the terms but want an explanation of the definitions and concepts.• What are the principles of SOA,

and how do they apply to business and IT?

• How are BPM-based systems different from other application systems?

• What are business events, and how are they used in event-driven architecture (EDA), complex-event processing (CEP) and real-time operational intelligence?

Roy Schulte, Vice President and Distinguished Analyst

WorkshopsW1. BI Strategy and Maturity

This workshop will help participants understand and apply the Gartner Business Intelligence Maturity Assessment to their BI initiatives. Workshop participants —assisted by Gartner analysts—will collaborate to develop action plans to address solution components they identify

as areas or gaps that need to be improved. What are the components of a BI solution architecture? Which solution architecture patterns are most common for different levels of BI maturity? How do you evolve to the next level of maturity?


W2. How to Build Leading Indicators That Matter

Companies that build and verify a set of business metrics based on leading indicators of financial performance consistently outperform their competitors, yet few succeed in this area. Knowledge and support of core business processes, together with expertise in managing information, put the CIO in an optimal position to play a leadership role in the development and use of leading indicators of business performance.

In this workshop we will provide:• A tool to assess your organization’s

current use of leading indicators.• A template for selecting and using

leading indicators to improve managerial decision making.

• Examples and guidelines for using leading indicators in your organization.

Michael Smith, Vice President; Patrick Meehan, Vice President

W3. Modeling the Organization Dimension for OLAP

Most medium-to-large enterprises have the challenge of managing metrics relative to an ever-changing organizational structure, with multiple


reporting hierarchies and views relevant to reporting needs of various business entities and activities. The structure is referenced for many purposes, making it a classic dimension to be shared or “conformed” across multiple data marts. This workshop provides a follow-up exercise to the companion “Connect the Stars” session, and examines methods and techniques for modeling and implementing flexible yet tractable organization dimensions and hierarchies. The techniques enable reuse of the organization dimension across star schemas, data marts, and master data points. The patterns in the sample exercise are more broadly applicable to other types of dimensions. The workshop addresses some of the sticky issues of dimension management, including the retention of structural history for “past view” metrics (slowly changing dimensions), networks versus hierarchies (multiple parents), and managing multiple roles per organizational unit.


W4. Defining Your Portfolio of Analytic Applications

Many organizations are uncomfortable with the growing prevalence of business units investing in analytic applications with scant regard for a centralized BI strategy. This workshop will address the issues raised between the need to standardize and consolidate the need to specialize and innovate.


W5. Metrics: Selecting the Right Business Measures

This interactive workshop will demonstrate how to select the right business measures for your enterprise metrics framework. Why do organizations struggle to identify the right business metrics? What are the benefits of selecting the right metrics? How can you help your enterprise select and use the right metrics to drive superior performance?

Michael Smith, Vice President

W6. Adding More Analysis to Reporting-Centric BI Programs

BI leaders are being urged to use advanced analytics to make their BI programs predictive. Unfortunately, developing predictive and descriptive models is hard work that requires a great deal of expertise that is in short supply. Without a very significant investment in training, most companies will find they simply don’t have the skills required to make their BI programs more predictive. Attend this session to learn the best ways to bolster the analytical skills of your BI program.

Kurt Schlegel, Vice President

A Advanced

F Foundational

B Business

S Strategic

P Practical

IT Technology


Analyst-User RoundtablesAUR1. Real-Time Analytics

TBA


AUR2. Healthcare Data Analysis: Challenges and Opportunities

The healthcare industry presents unique issues in the design and implementation of high-value BI solutions. Medical providers, payers, suppliers and public health institutions face special challenges in integrating diverse data types (e.g., hospital ADT, lab, pharmacy, clinical, radiology, patient safety, disease surveillance and insurance claims data). Incentives and pressures are mounting to adopt HITSP-approved national data exchange standards and vocabularies (e.g., HL7, ICD-9, ICD-10, LOINC and SNOMED). On the positive side, the healthcare arena offers unique opportunities for innovative collaboration, and many organizations are investing in data warehouses and analytic techniques to reduce costs and improve outcomes. This roundtable provides a forum for sharing experiences—both positive and negative—and new ideas in the journey toward BI solutions in healthcare.


AUR3. Building Your Business Case for BI

Getting business sponsors on board with a BI program requires demonstration of potential business value. BI leaders must be able to articulate and quantify how more and better time information and analysis can improve business processes and decisions. This roundtable is intended to help participants identify the critical elements of building business a business case for BI.

Rita Sallam, Director; Patrick Meehan, Vice President

AUR4. Evolving Your BICC Strategy

Like most other processes, BI Competency Centers (BICCs) grow, morph, and change over time. Recent Gartner research has identified three distinct stages for BICCs, ranging from early-stage to advanced. At this roundtable, you can discuss evolving competency center strategies and tactics with other companies and exchange ideas about what works best, and what doesn’t.

John F. Hagerty, Vice President and Distinguished Analyst

AUR5. Web Analytics

TBA


AUR6. Data Integration Tools and Architecture Strategies

The evolving nature of business intelligence applications and requirements dictates that organizations diversify their data



A Advanced

F Foundational

B Business

S Strategic

P Practical

IT Technology

integration competencies beyond traditional bulk-batch ETL patterns. Additional and complementary styles of data integration are increasingly relevant, but tool selection is challenging, given the diversity of options available. Roundtable participants will discuss their approaches and experiences with data integration architectures and tools.


AUR7. BI/CPM Issues Within Manufacturing

Manufacturers face unique challenges with BI and performance management. An ever-tighter focus on operational excellence—for analysis, planning and execution purposes—drives investment and integration in technologies. Meet with peers in the manufacturing sector to discuss strategies and tactics to better optimize operational performance.

Noha Tohamy, Vice President

AUR8. BI Goes Mobile: Are You Coming Along?

The new generation of mobile phones, such as the iPhone or Android devices (and even more so, the iPad, with its new form factor), followed by the expected variety of tablets, has led every BI vendor to refocus on “Mobile BI.” In this roundtable we won’t share many experiences about mobile BI,

since as yet there aren’t many, but in a more brainstorming style, we will exchange ideas on how mobile BI might actually work this time.


AUR9. Text Analytics and E-Discovery

Text and other “unstructured data” have never been more interesting than they are today. The massive volumes of digital documents created and kept by enterprises both create opportunities and engender risk. IT professionals need to master both sides of the unstructured-data coin. On the opportunity side, text analytics is one of the fastest growing forms of business analytics. Its growth has been driven by an exploding volume of text-based social media and a desire by businesses to hear the voices of their customers in their customers own words. On the risk management side, corporate record-keeping and communications systems serve organizations’ business models well, while litigation and the e-discovery process often disrupt them. This session will explore the technology challenges raised by the e-discovery process and mine the possibilities of text analytics applications.



Solution Showcase

Premier SponsorsEMC’s Data Computing Products Division is driving the future of data warehousing and analytics with breakthrough products including the Greenplum Data Computing Appliance, Greenplum Database, Greenplum Database Single-Node Edition and Greenplum Chorus - the industry’s first Enterprise Data Cloud platform. EMC Corporation (NYSE: EMC) is the world’s leading developer and provider of information infrastructure technology and solutions that enable organizations of all sizes to transform the way they compete and create value from their information. greenplum.com

IBM Business Analytics solutions deliver world leading enterprise planning, consolidation, predictive analytics and BI software, support and services to help companies plan, understand and manage financial and operational performance. IBM Business Analytic solutions bring together technology, analytical applications, best practices, and a broad network of business partners to give customers an open, adaptive and complete performance solution. ibm.com/cognos

Information Builders provides production strength software solutions for business intelligence, data integration, data quality management, and master data management. Our WebFOCUS business intelligence platform is the most widely deployed with the highest user adoption, serving internal needs as well as customer and B2B initiatives. Our iWay Software provides real-time integration and data quality solutions for all data warehouses and operational data. Information Builders has thousands of the most successful customers in all industries and government, ranging from small to large enterprises. informationbuilders.com

Oracle (NASDAQ: ORCL) is the world’s most complete, open, and integrated business software and hardware systems company. For more information about Oracle, visit oracle.com.

QlikTech’s powerful, accessible business intelligence solution, QlikView, delivers enterprise-class analytics and dashboards with the simplicity and ease of use of office productivity software. The in-memory associative search technology makes calculations in real time, enabling business professionals to gain insight through intuitive data exploration. Unlike traditional BI, QlikView can deliver value in days or weeks and can be deployed on premises, in the cloud, or on a mobile device. QlikTech (NASDAQ: QLIK) is headquartered in Radnor, Pennsylvania, with more than 15,000 customers worldwide. qlikview.com

SAP is the world’s leading provider of business software(*), offering applications and services that enable companies of all sizes and in more than 25 industries to become best-run businesses. With more than 105,000 customers in over 120 countries, the company is listed on several exchanges, including the Frankfurt stock exchange and NYSE, under the symbol “SAP.” (*) SAP defines business software as comprising enterprise resource planning, business intelligence, and related applications. sap.com

Aster Data is a leader in data management and advanced analytics for big, diverse data. Aster Data nCluster is the leading analytic platform, providing an MPP hybrid row and column database with an integrated analytics engine to deliver deeper insight for companies such as Barnes & Noble, Intuit, LinkedIn, Akamai, and MySpace. asterdata.com

Teradata, the world’s largest company solely focused on enterprise data warehousing and analytic solutions, provides powerful solutions for companies of all sizes. Through innovation, consulting services, technology, and industry-specific applications, our customers are outpacing their competition with enterprise agility. Teradata.com.

BackOffice Associates® is the leading provider of ERP data migration, data governance and MDM solutions for Oracle®, PeopleSoft®, JD Edwards®, SAP®, Infor® and other leading ERP solutions. Our products and services are the recognized best practice for companies using Oracle, SAP and other solutions. boaweb.com

Hewlett-Packard is a technology solutions provider to consumers, businesses, and institutions globally. Our offerings span IT infrastructure, global services, business and home computing, and imaging and printing. Our business intelligence solutions give businesses timely insight and actionable intelligence to improve business performance, maximize worker productivity, and capitalize on customer relationships. hp.com

Meet the Business Intelligence needs of executives and employees while minimizing associated IT management issues and cost with Microsoft BI. Available as part of the familiar Microsoft Excel and SharePoint Server products, and built on the powerful SQL Server platform. Microsoft BI provides end user agility, while maintaining proper governance and control. microsoft.com/BI

A global leader in business intelligence technology, MicroStrategy provides integrated reporting, analysis, and monitoring software that enables companies to analyze the data stored across their enterprise to make better business decisions. With MicroStrategy Mobile, companies can access their business information from the iPhone, iPad, and BlackBerry. microstrategy.com.

SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions delivered within an integrated framework, SAS helps customers improve performance and deliver value by making better decisions faster. SAS gives customers around the world THE POWER TO KNOW®. sas.com

Tagetik delivers a unified software solution for Performance Management, Enterprise Governance, Risk & Compliance, and Disclosure Management with specialized Business Intelligence tools to optimize Collaboration and Communication. Tagetik operates in 18 countries leveraging a close partnership with Microsoft. Its market experts are totally committed to the success of 400 customers worldwide. tagetik.com

Platinum Sponsors

Silver Sponsors

as of January 13, 2011

1010dataAdobe Featuring Omniture technologyAT&T Inc.CAM Management SolutionsCordaEndecaHagrid SolutionsHitachi Consulting

HTSQL by Prometheus ResearchLocus Solutions Inc.LogiXMLMindTree Ltd.Netezza, an IBM CompanyParAccel, Inc.Phasic Systems IncPillar Data Systems

QUITERIANRoambiSalient Management CompanySoftMaster, Inc.Spotfire, TIBCO Software Inc. Tableau SoftwareVertica SystemsWipro Technologies

MOBILE INTELLIGENCE


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Sponsorship Opportunities

Bring the team and save!With so much pivotal content to cover, and so many collaborative sessions to attend, it pays to bring your entire team. Benefits include:• Team meeting with a Gartner analyst (end

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Gartner Master Data Management Summit 2011May 4 – 6 • Los Angeles, CA gartner.com/us/mdm

The Gartner Master Data Management Summit highlights key trends and identifies best practices, technologies, software tools and solution providers that will guide you through successful implementation and exploitation of MDM initiatives to facilitate a proactive improvement of your business performance, processes and workflows, accelerate your organization’s agility and responsiveness, as well as help to manage and reduce costs to build a solid, innovative platform ready for growth.

Hot topics• Creating business-driven MDM• Learning and leveraging the right

implementation styles• Expanding into different domains• Multidomain MDM and vendor hype• Enabling enterprise information management (EIM)• Applying data quality to master data • Analytical MDM and future IT architectures• Improving reporting and analytics• Enabling simplified data integration• Leveraging enterprise architecture (EA)• Supporting operations, ERP, manufacturing,

supply chains• BPM efforts• Linking MDM to SOA strategy and

application development

Make it a full week in Los Angeles and Save!Hyatt Regency Century Plaza, Los Angeles, May 2 – 6

Next-generation analytics depends on smarter data.

Data quality, integration and aligning initiatives with corporate strategy and objectives, all remain challenging. Despite an improving economy and a return to long-term priorities, many organizations will still be asked to cut costs and improve operational efficiency in 2011.

Join us this May in Los Angeles for one highly efficient week and gain the insight to meet these challenges, get your data warehouse in order, create a single view of your customers or constituents, and create the strategic next steps for your BI and MDM programs.

The Gartner Business Intelligence Summit will explore how next-generation performance management and analytics optimize business decisions and performance.

The Gartner Master Data Management Summit will show you the next steps to increase data consistency, improve compliance and create new business value from a single version of your customer, product and financial data.

You can adopt or exploit MDM and BI separately. Or, you can holistically plan your future information management strategy. Join us for both summits to harness all the elements you need to build and support a more intelligent enterprise.

Save $900 when you stay the full week!

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Documents

Gartner Business Intelligence Summit 2011 Magic Quadrant and Megavendor Comparison ... Data access; database; DBMS; RDBMS; data warehouse; ... data mining and predictive