Data Modeling Zone 2014Date September 29 & 30

Location Hamburg, Germany

PARTNERS

ASSOCIATION MEDIA

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Monday, September 29th ! fundamental (for all audiences), " intermediate, # advanced

7:00-9:00 Breakfast and Registration

9:00-12:00 Data Modeling Fundamentals Steve Hoberman, Steve Hoberman & Associates, LLC [United States] ! Freiraum 2, Pg 1

How to Build a Business Case for an Enterprise Data Model

Ivan Schotsmans, BI-Community [Belgium] " Alster 1, Pg 1

Fact-based Data Model Integration Martijn Evers, DataMasters Unseen [Netherlands] " Alster 2, Pg 2

Data Modeling for NoSQL Databases and Big Data Rick van der Lans, R20/Consultancy [Netherlands] # Freiraum 1, Pg 2

12:00-1:15 Lunch

1:15-1:30 Welcome and Announcements

1:30-2:30 KEYNOTE: Inspiring “Proper” Data Management, Sue Geuens, President of DAMA International [South Africa]

Freiraum, Pg 3

2:30-3:30 For Data Deployment, Size does not Matter

Ronald Damhof, Prudenza [Netherlands] ! Alster 1, Pg 4

Data Lineage for Data Modelers

Angelo Bobak, Atos [United States] " Alster 2, Pg 4

Agile Dimensional Modeling: Welcome to the Business Model Generation

Lawrence Corr, DecisionOne Consulting [UK] " Freiraum 2, Pg 5

Data Vault Experiences -- From Whitepaper to Customer

Marcel Aretz and Dr. Jens Bleiholder, Opitz Consulting Deutschland GmbH [Germany] # Freiraum 1, Pg 5

3:30-4:00 Afternoon Snacks

4:00-5:00 Data Governance and Data Modeling Elwyn Jones, Sevenoaks Systems Limited [United Kingdom] ! Alster 1, Pg 6

How to Embed Big Data and NoSQL in Data Warehouse Systems

Rick van der Lans, R20/Consultancy [Netherlands] " Freiraum 2, Pg 6

Building a Data Warehouse with Data Vault, a Client Case

Peer Måns Carlson, Gutenberg Rechenzentrum GmbH and Co. KG Dirk Lerner, BLUEFORTE GmbH

[Germany] " Freiraum 1, Pg 6

Collaborative design of XML messages Graham Witt, Ajilon [Australia] # Alster 2, Pg 7

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Tuesday, September 30th ! fundamental (for all audiences), " intermediate, # advanced

7:00-9:00 Breakfast and Registration

8:00-8:30 Special Interest Groups (SIGs)

The Softer Side of Data Modeling

Simone Molenaar, BI-Podium [Netherlands] ! Alster 1, Pg 8

Fact-Oriented Data Modeling Primer Peter Alons, PAlCon

and Rob Arntz, Atos [Netherlands] ! Alster 2, Pg 8

Early morning session to be announced shortly!

Early morning session to be announced shortly!

9:00-12:00 Facilitation for Data Modelers Artie Mahal, ASM Group Inc. [United States] ! Alster 1, Pg 9

Data Vault 2.0 Workshop

Dan Linstedt, Empowered Holdings, LLC [United States] " Freiraum 1, Pg 10

Writing effective business rules - a practical method Graham Witt, Ajilon [Australia] " Alster 2, Pg 10

Advanced Data Modeling: Hierarchies, Recursives, Graphs and other Relationships Karen Lopez, InfoAdvisors [Canada] # Freiraum 2, Pg

10

12:00-1:15 Lunch

1:15-1:30 Welcome and Announcements

1:30-2:30 KEYNOTE: Streamlining the Development Process, Jon Gunner, Koenigsegg Automotive AB [Sweden]

Freiraum, Pg 11

2:30-3:30 Having the company’s data model in the hands of just one person - how can that be effective?

Hanne Christensen, Bankdata [Denmark] ! Alster 1, Pg 11

Fact Oriented Modeling in Practice (Part A) Peter Alons, PAlCon

and Rob Arntz, Atos [Netherlands] " Freiraum 2, Pg 12

Data Vault with Dimensional Modeling Case Study

Kasper de Graaf, [Netherlands] " Alster 2, Pg 13

Starting With More than a Blank Page: Data Modeling with Industry Standard Data Models Karen Lopez, InfoAdvisors [Canada] # Freiraum 1, Pg

13

3:30-4:00 Afternoon Snacks

4:00-5:00 Managing Time-variant Data Graham Witt, Ajilon [Australia] " Alster 1, Pg 13

Fact Oriented Modeling in Practice (Part B) Peter Alons, PAlCon

and Rob Arntz, Atos [Netherlands] " Freiraum 2, Pg 12

The Next Generation Data Warehouse (the smartest way to deal with your data integration challenges)

Dario Mangano, Palexpo [Switzerland] " Alster 2, Pg 14

Advanced Data Vault Design

Dan Linstedt, Empowered Holdings, LLC [United States] # Freiraum 1, Pg

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Data Modeling Fundamentals

Steve Hoberman, Steve Hoberman & Associates, LLC

Assuming no prior knowledge of data modeling, we start off with an exercise that will illustrate why data models are essential to understanding business processes and business requirements. Next, we will explain data modeling concepts and terminology, and provide you with a set of questions you can ask to quickly and precisely identify entities (including both weak and strong entities), data elements (including keys), and relationships (including subtyping). We will also explore each component on a data model and practice reading business rules. We will discuss the three different levels of modeling (conceptual, logical, and physical), and for each explain both relational and dimensional mindsets.

Steve Hoberman is the most requested data modeling instructor in the world. In his consulting and teaching, he focuses on templates, tools, and guidelines to reap the benefits of data modeling

with minimal investment. He taught his first data modeling class in 1992 and has educated more than 10,000 people about data modeling and business intelligence techniques since then, spanning every continent except Africa and Antarctica. Steve is known for his entertaining, interactive teaching and lecture style (watch out for flying candy!), and organizations around the globe have brought Steve in to teach his Data Modeling Master Class, which is recognized as the most comprehensive data modeling course in the industry. Steve is the author of six books on data modeling, including the bestseller Data Modeling Made Simple. He is the founder of the Design Challenges group, inventor of the Data Model Scorecard®, and the recipient of the 2012 DAMA International Professional Achievement Award.

How to Build a Business Case for an Enterprise Data Model

Ivan Schotsmans, BI-Community

Many organizations dream of an Enterprise Data Model that provides an integrated view of data as they are being produced and consumed across the entire organization. Enterprise Architects frequently use industry data models as a starting point. Usually this results in a ‘paper based’ enterprise data model. But that is only the beginning of a long journey. Once the whole organization gets involved we will need to handle politics, priorities, budget and personal ambitions. That’s when the rubber meets the road!

This workshop will highlight the winding road of creating the business case for an accepted enterprise data model throughout the organization:

• Roadmap of the enterprise data model • Creation of the business case • Overall SWOT analysis • Impact on applications including data

warehouse • Implementing the enterprise data

model • Use of the canonical data model • What’s next

In this interactive session we will build the business case and SWOT analysis for a successful Enterprise Data Model. Ivan Schotsmans is principal and founder of

BI-Community.org. He has more than twenty-five years of information management experience in various industries. Throughout his career Ivan has focused on

providing straightforward solutions to business and technical problems for international companies with a focus on data warehousing, business intelligence and information quality. He is recognized as a subject matter expert in data modeling, information quality and agile

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business intelligence. Ivan is also (co-)founder and active member of several global organizations (TDWI Benelux Chapter, DAMA, IAIDQ, among others) and for two years he acted as Global Director for IAIDQ. Ivan frequently speaks at information management industry conferences and teaches on graphical facilitation, data warehousing, data modeling and new information management trends.

Fact-based Data Model Integration

Martijn Evers, DataMasters Unseen

Data integration is often seen as a data process, that is, agnostic to the data structure. In this session we will show that data integration can be translated to a data modeling exercise in data modeling integration using Fact-based modeling techniques (like FCO-IM/ORM/NIAM). We will also investigate its practical application in for example Data Vault or Anchor Modeling, data automation and ER modeling. At the end, attendees will be able to model simple data integration scenarios in their modeling approach of choice.

Martijn Evers has been designing and developing information systems for over 15 years. The last 10 years mainly in the roles as consultant, analyst or architect. His passions lie with modeling and metadata driven system

development and design. The last few years he is focused on the Data Vault as the basis for data warehouse automation development. Martijn is also doing modeling-related research and is involved in promoting Data Vault in higher education. Martijn is president of the Dutch Data Vault user group and Director of de MATTER educational program focusing on Data warehouse automation/MDA.

Data Modeling for NoSQL Databases and Big Data

Rick van der Lans, R20/Consultancy

No one can have missed the big data trend. It’s everywhere. Nowadays, many big data systems are developed using a new generation of data storage products, usually referred to with the name NoSQL. Examples of NoSQL products are Hadoop, Hive, MongoDB, MapR, Cassandra, and many more. These products have been designed to store and/or process massive amounts of data. For some organizations they make it possible to develop systems that were unthinkable a few years ago. However, as the name already indicates, these are not our well-known SQL or relational systems. They don’t use relational tables with columns and rows to store data. As building blocks they support hierarchical structures, repeating groups, column families, sets, lists, and so on. And, as can be imagined, that has a direct impact on data modeling. How does data modeling change when the target data storage technology is a NoSQL system? That is the subject of this tutorial. First, all these new concepts are explained, and next, the effect on data modeling is discussed.

You will learn:

• Overview of key-value, document, column-family, and graph data stores

• Explanation of non-relational concepts, such as column families, hierarchies, sets, and lists

• Is storing unstructured and semi-structured data really more flexible?

• The differences between schema-on-read and schema-on-write

• Rules for transforming classic data models to NoSQL concepts

• Technologies for unlocking data in NoSQL systems

Rick F. van der Lans is an independent analyst, consultant, author, and lecturer specializing in data warehousing, Business

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Intelligence, and database technology. He is Managing Director of

R20/Consultancy based in The Netherlands. His popular IT books have been translated into

many languages and have sold over 100,000 copies. Rick writes for B-eye-Network.com. For the last 25 years, he has been presenting professionally around the globe and at international events. Last summer, Rick published a new book entitled “Data Virtualization for Business Intelligence Systems”.

Inspiring “Proper” Data Management

Sue Geuens, President of DAMA International

Data is such a current buzz word, that there are very few people who haven’t heard about it and don’t have a reasonable knowledge of what it may mean. Organizations both big and small definitely know what it is – but may not commit to looking after it or paying the necessary attention to it. After all everyone knows that you can lose at least a pint of blood and not die – so if you lost a “pint” of your data you would still survive - wouldn’t you? In general terms a pint of blood is around an 8th of what the human body has, so an 8th of your data shouldn’t be a problem to lose – however – like blood, this could be any 8th! In human terms blood is blood – you would lose 1/8th of the whole lot. BUT – in business terms you could lose 1/8th which could be ALL your customer data OR ALL your financial data, it would never be a mixture of ALL your data. Setting the scene is all well and good – but how do we get organizations to start thinking that data (although it flows through the body of the business, much like blood flows through

a human body) needs to be taken care of even more than the human body? It’s not really much use putting a “band aid” on a data cut. Firstly it may not stop the flow, but secondly if you don’t know the context of the cut, you don’t know if just a plaster will solve the problem. Sue has spent almost 20 years in the business of data – she has seen the good, bad and ugly and talks about her experiences candidly. She brings to the table war stories as well as some great successes and in doing so inspires the people around her to begin the long walk to good data. Join us at her keynote presentation and walk away fired up with the determination to get your data back on the inside track.

Sue is a Senior Data Management Specialist who has been customer facing for the past 18 years. During this time she has focused specifically in the financial (banking, insurance, pensions) and telecommunications sectors,

gaining immense knowledge and expertise in both. Each year she attends a number of Data Management conferences giving presentations both locally and overseas. Her initial step into the world of data came about in the form of designing and implementing the first registration system for the NHBRC. Since then she has moved on to various businesses and enterprising, always working toward Data Quality and Integrity, which is her passion. Sue was elected President of DAMA SA during January 2009 and was the driving force behind the Inaugural Meeting which was held on 18th February 2009 at Vodaworld in Midrand. Just completed implementing Data Governance at a large SA Telco, Sue has moved her focus to responding to the many challenges facing SA companies with their data. Sue has just been voted in as the DAMA I President for the 2014/ 2015 term.

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For Data Deployment, Size does not Matter

Ronald Damhof, Prudenza

What if we saw the data that are being registered as raw materials and the information products as end- or semi products? What would happen if we chose to view the manufacturing and deployments of these products as a logistical and manufacturing challenge? What can we learn from logistics and manufacturing that can be fit on the data challenges we face in our organizations? This session will build up to a graphical four-quadrant framework for data deployment that can be used to formulate strategy or to position technology in the data- and analytics arena. It will playfully show fundamental principles and non-functionals regarding architecture, data modeling, governance, etc. It will position different types of usages both for the data scientist as well as for the compliancy officers and everything in between.

Ronald is an Information Quality Certified Professional (IQCP) and Principal in Information Management with a focus on data management in general and data architecture, data quality,

data governance, master data management, data integration and data warehousing in particular. He is a strong proponent of model-driven/metadata (declarative instead of procedural) driven data deployment; and exploiting the data to its maximum potential, decision support being one of these potentials.

In most organizations his role extends architecture often. He has been a trusted advisor, a missionary (selling the value of an information architecture), a scrum master (removing impediments) and a specialist (coaching hardware folk, data architects, data

logistics peeps, product owners, data customer, data producers, senior management etc.).

Data Lineage for Data Modelers

Angelo Bobak, Atos

Designing the Operational Data Store (ODS) requires extensive and accurate documentation of source systems in terms of reverse engineered physical data models and related data dictionaries. As an ODS merges data from heterogeneous databases and data sources a blueprint of each source is required. This presentation takes you through the steps required to analyze and document source databases, the creation of the reverse engineered artifacts, and the creation of the data models using popular data modeling tools. A simple yet complete example is presented that shows how to use these artifacts in a process called schema integration. This process is used to create the ODS conceptual, logical and physical data models. The presentation also covers the steps of the schema integration process which was introduced by M. Tamer Ozsu and Patrick Valduriez, two academics in the field of distributed databases. At the end of the presentation the attendee will understand the importance of data lineage artifacts, the schema integration process and how to apply it in the creation of an integrated database called the ODS.

Angelo Bobak currently holds the position of Director of Data Architecture for an international ITIL services company. He holds a Masters in

Computer Science and Bachelor of Electrical Engineering degrees. He has written several books on data modeling and distributed database architectures, including Connecting the Data. Angelo lives in New York with his wife Cathy.

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Agile Dimensional Modeling: Welcome to the Business Model Generation

Lawrence Corr, DecisionOne Consulting

Historically BI systems were built upon relatively stable, relatively well-understood business processes and operational systems. Today, the implementation of disruptive new business models and the increasing use of big data and agile/lean practices means tomorrow’s BI solutions must be designed with far fewer source system certainties and developed in parallel with those uncertain data sources. This thought-provoking presentation describes new collaborative modeling techniques – popularized in books such as “Business Model Generation” and “Agile Data Warehouse Design” – for engaging business model innovators in the design of future BI data stores and gaining a head start on agile BI development.

Lawrence Corr is a leading UK-based data warehouse designer. He specializes in helping organizations benefit from simpler, more inclusive modeling techniques. He is the

author of “Agile Data Warehouse Design: Collaborative Dimensional Modeling, from Whiteboard to Star Schema”. This frame has been applied successfully at KLM, Prorail, the Erasmus Medical Center, and Generali verzekeringsgroep nv. Two of these projects have won a national and a mondial award.

Data Vault Experiences -- From Whitepaper to Customer

Marcel Aretz and/or Dr. Jens Bleiholder, Opitz Consulting Deutschland GmbH

Data Vault is getting more and more popular and is considered the data modeling technique

of choice when developing a data warehouse, especially using an agile approach. However, on conferences, workshops and tech-meetups, during talks, often the theoretical concepts play the key (and often only) role. One can get the impression that practical, hands-on experiences of using data vault in an (agile) BI/DWH project are rarely presented. In this session we want to talk about our project experiences in using data vault for the core layer of a data warehouse. Topics we plan to cover include but are not limited to:

• How easy is it to convince people of getting rid of the standard 3NF core?

• When is it useful to change, under what circumstances is it better to stick with it?

• How easy is it to implement ETL mappings using standard tool stacks to fill the data vault?

• What tips and tricks are there, what situations should be avoided, when does Data Vault really plays out its advantages?

The main idea of the session is to provide the “hands-on” view of a practitioner and to show what really works in a (normal) project environment.

Marcel Aretz and Dr. Jens Bleiholder work for OPITZ CONSULTING Deutschland GmbH and have 10 years+ experience in engineering data warehouse systems. Over the years they worked in various roles including requirements engineering, ETL architecture and development and data modeling, mostly on the backend part of a data warehouse. As more and more projects are done using agile approaches and data vault, during the last year they focused on these topics and actively promote data vault modeling in their company. Both have substantial experience in the ETL product stacks of several vendors and varying industrial sectors.

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Data Governance and Data Modeling

Elwyn Jones, Sevenoaks Systems Limited

Experiences and lessons learned in applying the 3-phase Validation Technique to Business Intelligence and Data Governance. Lessons learned are: sharpening the demarcation of roles; building in resilliance to future expansion; performance improvement; maintainability; and so on....

45 Years Computing Experience. 20 Years as an independent Contractor / Consultant. 10 Years concentrating on Data Warehousing

with Oracle now focused on Data Vault and similar Inmon-esque architectures.

How to Embed Big Data and NoSQL in Data Warehouse Systems

Rick van der Lans, R20/Consultancy

The potential of NoSQL systems is crystal clear. They allow organizations to store, manage, process, and analyze big data for relatively low prices. With NoSQL systems organizations can develop big data systems that were unthinkable before. But how should NoSQL systems be deployed in data warehouse systems that are dominated by SQL-based database servers and by reporting and analytical tools that only support SQL? This session discusses the value of NoSQL systems, and explains several application areas, including NoSQL as sand box, NoSQL as cold data store, NoSQL as staging area, NoSQL as extra data warehouse database, and NoSQL as ETL preprocessing engine. Also discussed are the new SQL-to-NoSQL interfaces that have become available that do open up big data sources to a large community.

You will learn:

• Technical characteristics of NoSQL systems

• Overview of current NoSQL-to-SQL technology, including strengths and weaknesses

• Overview of support of NoSQL by reporting and integration tools

• Applications areas of NoSQL within data warehouse systems

Rick F. van der Lans is an independent analyst, consultant, author, and lecturer specializing in data warehousing, Business Intelligence, and database technology. He is Managing Director of R20/Consultancy based in

The Netherlands. His popular IT books have been translated into many languages and have sold over 100,000 copies. Rick writes for B-eye-Network.com. For the last 25 years, he has been presenting professionally around the globe and at international events. Last summer, Rick published a new book entitled “Data Virtualization for Business Intelligence Systems”.

Building a Data Warehouse with Data Vault, a Client Case

Peer Måns Carlson, Gutenberg Rechenzentrum GmbH and Co. KG Dirk Lerner, BLUEFORTE GmbH

The speakers will describe how they built up Infospot, a new Data Vault based data warehouse as a separate component of an ERP solution called VI&VA, developed by the Gutenberg Rechenzentrum, one of Germany’s leading IT service providers in the newspaper publishing industry. The goal of the project was to implement an agile and future-proof architecture as a foundation for a new product

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that is intended to be deployed at customer sites. The presentation will show the initial situation and the implementation process of the new data warehouse with emphasis on the Data Vault. Thus, the speakers will describe challenges, focus on complex issues they had to struggle with and give practical hints.

Peer Måns Carlson is a Business Intelligence developer at the Gutenberg Rechenzentrum GmbH & Co. KG, an IT service provider located in Hannover, Germany. As a project manager, he worked on

several Data Warehouse projects in the area of Microsoft SQL Server. He has a lot of experience in ETL process design and implementation and an in-depth knowledge of BI/DW architectures. Currently, he is concentrating on Data Vault modeling and implementation. Peer Måns is a certified BI Expert (TDWI Europe) and holds a degree in Computer Science with focus on Business Information Systems.

Dirk Lerner is a well experienced

Managing Consultant at

BLUEFORTE. He is focused in

Managing Business

Intelligence projects as well as analyses, design and implementation and service of complex Business Intelligence solutions. His technical and vocational skills are based upon 10+ years in different industries and roles, both in data modeling and ETL-tools and –scripting. Furthermore Dirk has a profound knowledge about complex data warehouse architectures, data models and services of data warehouses. Dirk is a Certified Management Consultant (CMC), Certified Business Intelligence Professional (CBIP), Project Management Professional (PMP) and Certified Professional Requirements Engineering (CPRE). He writes

about data modeling, mainly data vault and anchor modeling, on his Blog in German to share his knowledge in the German-speaking part of the world.

Collaborative design of XML messages

Graham Witt, Ajilon

Learn how to design XML messages that meet business requirements, communicate message designs to business stakeholders for effective review by them, and manage change in message design. This presentation covers:

• XML structures containers, sequences and alternatives

• Business and XML data types (simple, complex, and enumerations)

• Reusable business structures and message headers

• Conceptual data modeling notations for XML schemas:

The techniques described in this presentation were developed for an Australian state government department and were so successful in gaining business buy-in they were subsequently adopted federally after comparison of the work done in all states of Australia.

Graham has over 30 years of experience in delivering effective data solutions to the government, transportation, finance and utility sectors. He has specialist expertise in business requirements,

architectures, information management, user interface design, data modeling, database design, data quality and business rules. He has spoken at conferences in Australia, the US and UK and delivered data modeling and business rules training in Australia, Canada and the US. He has written two textbooks published by

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Morgan Kaufmann: “Data Modeling Essentials” (with Graeme Simsion) and “Writing Effective Business Rules”, and writes monthly articles for the Business Rule Community (www.brcommunity.com).

The Softer Side of Data Modeling

Simone Molenaar, BI-Podium

When you work as a professional in a project, then you have to deal with a lot of different people. Therefore it is of utmost importance that you know what other people are crucial to achieve your goal.

So know whom to involve and who your stakeholders are. And especially important: how do the forces works? Who is going to cooperate, who is going to work, who should be a little more confident? A web of people and forces, and you are part of it. How do you bring them in card, which makes it clear to you and what actions you should take? This workshop highlights the importance of analyzing force fields and the position of people in it.

Simone is the founder of BI-Podium. She worked for 10 years for various organizations as a program manager and training consultant.

After this period, Simone established her own business in which she focuses on the interim management of training programs and the design and development of learning. Flexibility, creativity and working towards effective outcomes for both organizations and people are key to her approach. With more than 20 years of experience, Simone is well versed in the world of learning and training. She also consults with management on the training of the organization.

Simone organizes many events based on the view that knowledge sharing is an important part of continuous professional development as

well as personal development. These events are of interest to the audience in terms of content and from a networking perspective. Her aim is to make knowledge sharing as accessible as possible.

Fact-Oriented Data Modeling Primer

Peter Alons, PAlCon and Rob Arntz, Atos

Receive a brief overview to fact-oriented data modeling. Later in the day, Peter and Rob will be presenting a case study using fact-oriented data modeling. If you are new to fact-oriented data modeling, this primer will ensure you benefit from the case study.

Peter Alons has specialized since 1990 in Information Modeling and Information Management, and from 2007 also in Information Quality Management. Till the end of 2010 he worked

as BI consultant for Atos. He has helped performing Business Intelligence projects in Banks, Railway companies, Aviation, and the Medical sector. He has always used an approach for Information Management that he helped and developed himself, the Information Management Frame. This frame has been applied successfully at KLM, Prorail, the Erasmus Medical Center, and Generali verzekeringsgroep nv. Two of these projects have won a national and a mondial award.

Rob Arntz is expert group leader on Information Modeling at Atos. He was involved in developing the Information Management Frame; a framework based upon fact oriented conceptual modeling. Rob applies the

Information Management Frame in business intelligence projects since 2000 in many industry sectors.

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Facilitation for Data Modelers

Artie Mahal, ASM Group Inc.

A Business Process describes How Work Gets Done; Data describes the Facts needed to execute that Process. One without the other has little value in organizations. If Process is the body then Data is the nervous system which makes the body function. In the fast pace of business change and frequent reorganizations, the Data Analysts and the Business & Process Analysts should expand their value to the organizations by cross-pollinating their understanding of how to facilitate Data and Process requirements more effectively.

The art and craft of enabling individuals and groups to discuss issues and opportunities around a shared objective; and develop agreed strategies for a common direction is generally referred to as Facilitation. Facilitation also includes enabling people to learn through transfer of knowledge and training in specific skills by a subject matter expert. The person or persons skilled in Facilitation are called Facilitators. The approach for creating agendas, conducting research, facilitate sessions to deliver planned outputs is referred to as the Facilitation Process.

Using a case study of process improvement and data design, this workshop will provide hands-on experience in how Data Analysts can leverage facilitation techniques and tools in their craft to be more effective in gathering requirements and transferring knowledge to users, and other professional analysts.

What you will learn:

• Adult Learning Theory and the Learning Process

• Multiple Intelligences Framework for effective design and delivery of work sessions

• Session Leader qualities and competencies; Session environment setup

• Methods and tools including the use of engagers and energizers

• Designing Agendas; Facilitation Framework and how to self-develop for success

For two decades Artie Mahal successfully led mission-critical management support programs as Effective Business Change Regional Manager for North America and Latin America at

Mars International. While at Mars International he developed and delivered programs on Information Resource Management, Business Change/Process Management and Learning & Leadership Development. His last role at the company was to manage Training & Development including the formation of Mars University in North America. Artie has provided services on four continents and has been a speaker at national and international professional forums including Seton Hall University’s MBA program and Rutgers University Business College. Artie Mahal is a Senior Consultant with BPTrends Associates since 2006. He is also the founder of ASM Group and is a Business Process Management (BPM) consultant and trainer, developing and delivering BPM professional services privately to corporations and publicly through Boston University’s Corporate Education Center. Artie has co-authored a Business Process Redesign Tools & Techniques Handbook. Artie is author of: “How Work Gets Done, Business Process Management, Basics and Beyond”. Artie is an accomplished facilitator and has facilitated workshops internationally in North America, Europe and Asia Pacific regions. His workshops are highly interactive and use state of the art methods such as a “brain compatible learning method.” He has facilitated workshops for Strategic Planning, Business Process Improvement, Ideation, After Action Reviews and Project Management. Artie is a certified trainer in Business Process Management (BPM), Human Change

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Management, Diversity and Project Management.

Data Vault 2.0 Workshop

Dan Linstedt, Empowered Holdings, LLC

A full hour of presentation on the basics of Data Vault Modeling, followed by a hands on workshop where students will be divided into teams, and tasked with defining, building, and discussing Data Vault 2.0 Models. A few of the teams will be asked to present their findings briefly at the end of the workshop. Come and experience this hands-on exercise, I guarantee you won’t be disappointed. Work through business key selection, hashing techniques, and Satellite layout decisions.

Dan is an internationally known expert in Data Warehousing and Business Intelligence. He’s worked in the field for over 23 years, and continues to help fortune 50

clients and government customers around the world in their pursuit of BI excellence. He’s an expert in Big Data, Unstructured Data Systems, and Performance and Tuning. He’s also the author and inventor of the Data Vault model and methodology.

Writing effective business rules - a practical method

Graham Witt, Ajilon

This workshop teaches modelers how to collaborate with business stakeholders to develop well-formed and consistent statements of an organization’s business rules to enhance business effectiveness, prepare for system development, and obtain meaningful data from customers and/or other organizations. This workshop covers the following topics:

• What is a business rule? • Why do organizations have rules?

• What is the best way to document a rule?

• Why do we need to document rules? • Types of rule • An end-to-end rule development

process • Producing well-formed rule statements • Rule statement quality assurance.

Graham has over 30 years of experience in delivering effective data solutions to the government, transportation, finance and utility sectors. He has specialist expertise in business requirements, architectures, information management,

user interface design, data modeling, database design, data quality and business rules. He has spoken at conferences in Australia, the US and UK and delivered data modeling and business rules training in Australia, Canada and the US. He has written two textbooks published by Morgan Kaufmann: “Data Modeling Essentials” (with Graeme Simsion) and “Writing Effective Business Rules”, and writes monthly articles for the Business Rule Community (www.brcommunity.com).

Advanced Data Modeling: Hierarchies, Recursives, Graphs and other Relationships

Karen Lopez, InfoAdvisors

Sure you can model all the types of relationships – draw a line, set the cardinality and the optionality and move on. That works perfectly in your logical data model. It has no data and isn’t concerned with implementation issues or performance. But transitioning that to a physical data model and ultimately an implementation can be tricky. Can what you’ve drawn even be implemented? Will it lead people to implement something that doesn’t begin to perform well?

In this workshop, Karen gives an overview of special types of relationships, including:

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• Hierarchies (balanced, ragged and others)

• Recursives • Graphs • Many-to-many • And other tricky lines

With hands on exercises and demonstrations Karen will cover the costs, benefits, and risks of relationship options in data modeling.

Karen is a senior project manager with an extensive background in development processes and information management. She specializes

in taking practical approaches to systems development. She has helped many IT departments choose appropriate methods and standards, based on the department’s culture, experience, and focus. Karen is an international speaker on the Zachman Framework, information privacy, IT certification and licensing, data modeling and process modeling (DAMA, Enterprise Data World, EDF, EIM, DAMA Australia, CIPS, ZIFA, IRMUK/DAMA Europe, SQLPASS, SQLSaturdays). She has authored several white papers on better collaboration with business and development resources.

Streamlining the Development Process

Jon Gunner, Koenigsegg Automotive AB

Reaping the benefits of Lean Development and cloud based computing to streamline complex development programs and get superior product to market before the competition.

Jon Gunner became the Technical Director for Koenigsegg in 2006, after a year as Vehicle Concept development manager. Leading the technical innovation for the company, which is currently one of the most exclusive automotive companies in the world, he specializes in fast track development program definition for all

the advanced hypercar platforms with responsibilities covering all development

phases including styling, CFD, advanced materials through to serial

production. Beginning his career as an aerospace

mechanical engineer, Jon continued building upon both his engineering and

design background as a mechanical engineer & program manager for various aerospace and automotive companies including BAE, Fokker, SAAB & Ford. Jon is also the founder of Sungarden Development, an advanced technologies consultancy and co-founder and creator of Rolobikes, and advanced bicycle company. From his 28 years of experience, he has developed strong and specialized expertise in high-end niche development programs and advanced materials technology. At Koenigsegg, they say that perfection is a moving target, so Jon’s role is to keep the company ahead of the competition.

Having the company’s data model in the hands of just one person - how can that be effective?

Hanne Christensen, Bankdata

In Bankdata we have chosen to put the data model in the hands of one person. This way it is depends on this person. I am that person and I will tell you how it is possible and why it may be a good idea even though it seems odd. There are about 500 developers and none of them can alter tables, not even in the test environment! Only DBAs can alter tables and they only take orders from me. How can this be effective in one of the larger IT-businesses in Denmark? I will tell you how we do it - from Idea to Database implementation.

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I’ve been a Data Architect at Bankdata for eight years. My background for being able to understand the needs for good modeling is my past experience as System Designer and Project Manager. I am situated in the

Company’s Enterprise Architect Team along with three Enterprise Architects and two Integration Architects. I’m also the Company’s ERwin Expert and support the ERwin Users around the Company in use of ERwin.

Fact Oriented Modeling in Practice

Peter Alons, PAlCon and Rob Arntz, Atos

“How many patients with severe sepsis were treated with the drug Drotricogen.alpha (aPC) against septic shock?” Where data modeling focuses on how data should be stored, information modeling is focusing on which information is required to answer complicated questions like this. To do so we need techniques of which the results can be validated by the information consumers themselves. Especially in very specialized environments this is crucial. The Erasmus Medical Center is such a specialized environment.

Forced by the Dutch Health Inspection, medical specialists have to find the right answers to questions like the one above, “What is the percentage of hospitalized and operated patients with at any given moment a numerical pain score above 7 in the first 72 hours after the operation?”, “What is the percentage of adult hospitalized patients admitted at the IC with severe sepsis, who died within 30 days after the diagnosis?”, and so on. For us this meant that we needed terms like hospitalized, operated, pain score, medication and dosage, and diagnosis in our information model. And then it is important to know what facts these terms exactly relate to, i.e. what their semantics are.

In our session we show attendees how FOM is used to cast these semantics into a conceptual information model, and how this information model - validated by the medical experts - is transformed into adequate data structures by using the case tool CaseTalk™. The attendees are given the opportunity to participate actively in the modeling process. The importance of supporting this type of investigations correctly is stressed by the fact that the drug aPC is - due to the contributions of the Erasmus Medical Center - nowadays rejected as proper treatment against septic shock…

Peter Alons has specialized since 1990 in Information Modeling and Information

Management, and from 2007 also in Information Quality Management. Till the end of 2010 he worked as BI consultant for Atos. He has helped performing Business Intelligence

projects in Banks, Railway companies, Aviation, and the Medical sector. He has always used an approach for Information Management that he helped and developed himself, the Information Management Frame. This frame has been applied successfully at KLM, Prorail, the Erasmus Medical Center, and Generali verzekeringsgroep nv. Two of these projects have won a national and a mondial award.

Rob Arntz is expert group leader on Information Modeling at Atos. He was involved in developing the Information Management Frame; a framework based upon fact oriented conceptual modeling. Rob applies the

Information Management Frame in business intelligence projects since 2000 in many industry sectors.

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Data Vault with Dimensional Modeling Case Study

Kasper de Graaf

Kasper will discuss the implementation of a greenfield data warehouse project at the St. Antonius Ziekenhuis (a hospital in The Netherlands). The architecture consists of a data vault style data warehouse (including a meta model) and a Kimball style set of data marts. This presentation will focus on the modeling challenges and the solutions chosen.

Kasper de Graaf (Occurro) is an independent data warehouse architect, trainer and modeler. He specializes in data warehouse architecture, data modeling (data vault

and dimensional modeling) and BI/DWH development, preferably using open source technology. Before starting his own company he worked for several consulting and training companies and did projects for numerous organizations in Europe during the last 20 years.

Starting With More than a Blank Page: Data Modeling with Industry Standard Data Models

Karen Lopez, InfoAdvisors

Have you ever considered using pre-existing pattern models to jump start your database projects? Have you considered purchasing proprietary models? Did you know that there are hundreds of models available to you for free or for minimal cost? In this presentation, Karen discusses some of the benefits and gotchas of working with acquired models – industry standard models, patterns, and other universal model concepts.

This session includes topics such as:

• The costs, benefits, and risks of working with industry standard data models

• The benefits of using industry standards in your package acquisition projects

• Choosing the right process • Myths in working with pattern models • 10 Tips for successfully working with

third party models • What you should know before

committing to project plans and estimates

• Lessons Learned • Resources

Karen is a senior project manager with an extensive background in development processes and information management. She

specializes in taking practical approaches to systems development. She has helped many IT departments choose appropriate methods and standards, based on the department’s culture, experience, and focus. Karen is an international speaker on the Zachman Framework, information privacy, IT certification and licensing, data modeling and process modeling (DAMA, Enterprise Data World, EDF, EIM, DAMA Australia, CIPS, ZIFA, IRMUK/DAMA Europe, SQLPASS, SQLSaturdays). She has authored several white papers on better collaboration with business and development resources.

Managing time-variant Data

Graham Witt, Ajilon

In this presentation Graham shares his considerable experience in the design and management of databases holding time-variant data for which “history” (a record of previous values of that data) is to be maintained. In reviews of database designs

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that Graham has conducted, this is one of the features that is most often poorly or even wrongly designed. This presentation covers:

• Things to consider when recording time

• Time variance: recording change • Bi-temporal data • Temporal rules and constraints • The impact of time on rules.

Graham has over 30 years of experience in delivering effective data solutions to the government, transportation, finance and utility sectors. He has specialist expertise in business requirements,

architectures, information management, user interface design, data modeling, database design, data quality and business rules. He has spoken at conferences in Australia, the US and UK and delivered data modeling and business rules training in Australia, Canada and the US. He has written two textbooks published by Morgan Kaufmann: “Data Modeling Essentials” (with Graeme Simsion) and “Writing Effective Business Rules”, and writes monthly articles for the Business Rule Community (www.brcommunity.com).

The Next Generation Data Warehouse (the smartest way to deal with your data integration challenges)

Dario Mangano, Palexpo

In this session, you will get deep insights into a methodology to transform structured and unstructured data into information and knowledge. The session will cover:

• “The Data challenge” • The Integrated Data Hub (IDH), a

reference architecture

• Data Vault as a critical key success factor

• An introduction to the Leaf Schema During the session, delegates will learn why traditional Data Warehousing architectures are no more fit to face the Business Intelligence future challenges. Delegates will have a deep overview of revolutionary architecture, best practices and data modeling advice to face the new Data Integration Challenges.

Dario Mangano just started a new challenge as CIO of the biggest event management company in Switzerland: Palexpo. He previously was head of the

Knowledge Management Department of Nestlé Nespresso, based at Nestlé Nespresso Headquarter in Lausanne Switzerland. In this role, he led the Business Intelligence, Enterprise Content Management and Global Data Services departments. Driven by the motto “From Data, To Information, To Knowledge, To Actions!” he was responsible for defining and implementing the strategy to transform internal structured and unstructured data into meaningful information and knowledge to support strategic decision-making. Dario Mangano holds a Master’s degree in computer science and a license in group dynamics and is currently working on his Doctorate. He is also the founder of the Swiss Network of Business Intelligence Professionals, the Swiss BI Day and the Swiss BI Award and is the author of the book: The Integrated Data Hub™. He is the inventor of the Leaf Schema concept.

Advanced Data Vault Design

Dan Linstedt, Empowered Holdings, LLC

This session will be a 45 minute presentation covering some of the advanced details of Data

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Vault 2.0 Modeling, including: MPP & Big Data / Data Layout and distribution, Satellite Design, Role playing Links, Virtual Dimensions and Facts, and a few other advanced topics. Come with your questions, and get them answered.

Dan is an internationally known expert in Data Warehousing and Business Intelligence. He’s worked in the field for over 23 years, and continues to help fortune

50 clients and government customers around the world in their pursuit of BI excellence. He’s an expert in Big Data, Unstructured Data Systems, and Performance and Tuning. He’s also the author and inventor of the Data Vault model and methodology.

See you at DMZ!