Beyond Traditional Management Reporting...Provides the foundation to gain insights and make better business decisions BI Reports form the core of BI, the building block of Business
Good afternoon ladies and gentlemen my name is …. I am with <group> at IBM - thank you for joining today. In this session we want to engage with you on a journey that has seen traditional business intelligence, such as query reporting and analysis as most of you know it, expand to a full breadth of Business Analytics capabilities which have brought better decision making and optimization to businesses that have adopted and followed a strategic analytics path to drive success and growth within their organization. Today we want to take you through this journey: From traditional reporting to the Business Analytics Expanding along the Business Analytics Continuum (should change this to reference AQ journey as keynote addresses this) – confirm with John? Whoever is writing speech Statistical Analysis Predictive Modeling What-if analysis and planning IBM Business Analytics in action
Provides the foundation to gain insights and make better business decisions
Presenter
Presentation Notes
BI Reports form the core of BI, the building block of Business Intelligence. Pro reports distributed across org is really what Bi started as…in today’s BI, reporting has grown to Biz users, mobile, etc…may change this BI Reporting is still incredibly important today. In fact, according to recent Gartner Business Intelligence Magic Quadrant User Surveys, 2008-2012, BI Reporting is still the most widely used Business Analytics application…over 95% of those customers surveyed used BI reporting surpassing all other BA Applications With Cognos Business Intelligence, professional report authors can create pixel perfect reports containing a full range of visuals and objects that meet the needs of everyone in your organization. With Cognos Business Intelligence, report authors can develop any and all types of reports — from simple inventory lists to high-volume billings and high-impact business dashboards. It offers complete reporting from a single environment, provides advanced authoring abilities that match user needs and operates on a proven, web services architecture. The business value of reporting is simple: it not only communicates a company’s performance, but helps the company understand it. With it, executives, managers and business users can take action on recent information. It creates a common context for decision-making in every department and at every level. Which at one time –professionally authored reports was BI and Cognos BI has been around for 30 years… Report authors need to create reports that your business can use to work with information the way they want to. With Cognos Business Intelligence Reporting, authors can create reports and parts of reports that business users can access from a unified workspace to answer key business questions. It is the most highly used BA/BI application today…based on Gartner Magic quadrant usage survey Professional report authors create reports in a single environment and distribute them to the enterprise. IT administrators deploy, manage and expand the reporting application. Mobile workers interact with reports on mobile devices or while disconnected. Organizations need richly detailed, customizable reports which are easy to distribute. Deliver these reports to the business with advanced report building solutions and ways of enhancing, customizing, and managing professional reports. Decrease costs and complexity of reporting environment Deliver information in the most suitable form to address diverse user requests
Business Analytics software uniquely enables your organization to apply analytics to decision-making, anytime, anywhere. Encompassing Business Intelligence for smarter business decisions, Performance Management to drive profitable growth, Predictive Analysis to optimize and improve business outcomes and Risk Analytics for transparency and compliance, Business Analytics brings the right balance of awareness and confidence that businesses strive for today. You can: Tap into all types of information Empower people in all roles to explore and interact with information and deliver insights to others Optimize all types of decisions – whether they’re made by individuals or are embedded in automated systems -- using insights based on analytics Provide insights from all perspectives and time horizons – from historic reporting to real-time analysis to predictive modeling Improve business outcomes and manage risk, now and in the future Represented here is the full breadth of the IBM Business Analytics portfolio. The portfolio has a range of solutions built to uncover insights for specific industries such financial services, public sector, distribution, industrial and communications, as well as deliver insights for the four high-value functional solutions that we just covered. These solutions leverage a range of rich Business Analytics capabilities enabled by 4 core product areas. … Business Intelligence Predictive Analytics Performance Management and Risk Analytics And these solutions and capabilities have been designed to leverage a foundation of trusted information built upon rich data management capabilities and optimized systems from IBM.
Business analytics capabilities allow everyone in your organization to embrace data analysis for a superior understanding of their operations and for timely decision making. We empower people to interact with, contribute to and share information with others in a way that is fast, smart and easy Standardizing on IBM Business Analytics across the enterprise, across segments, across departments, across work groups - making analytics accessible to all individuals, and brings with it a culture of analytic excellence, ultimately achieving corporate objectives and exceeding expectations. Examples of how BA can help lines of business: FINANCE Align resource plans for intelligent growth and profit Comply with confidence CUSTOMER SERVICE Reduce customer churn Increase satisfaction and loyalty MARKETING Improve competitive positioning Prioritize profitable product delivery Drive greater demand SALES Maximizing pipeline effectiveness and customer profitability Discuss the Customer examples below if you have time. Business Analytics has enabled organizations to drive better business outcomes across the various departments in an organization. These better outcomes have enabled these companies to outperform. Let’s look at a little closer at a few of them. Richmond Police Department Weapons seizures up 246%, gunfire incidents down 49%, homicide rates down 40% Facing rapidly rising crime rates, RPD needed an effective and efficient solution to analyze crime data, assess public safety risks, and make intelligent decisions about team deployment—in real time. SPSS is used to help discover hidden relationships in disparate data to automatically generate crime forecasts. This data mining solution is an indispensable knowledge discovery tool that predicts crime patterns, proactively helping RPD to deploy resources in real time to curb crime. SPSS was deployed for testing on New Year’s Eve, historically a high crime period. On the back of SPSS, compared with historical data on that same day, weapons seizures increased by 246%; gunfire incidents were cut by 49%; and overtime costs due to intelligent resource deployment saved more than $15k for the day alone. On a broader front, homicide rates declined 32% from 2006 to 2007, and another 40% to 2008, driven in large part by the intelligence and predictive capability enabled by SPSS. Ceridian $300-400 million annually in fuel savings and fraud reduction Ceridian had typical challenges around their FPM processes and implemented a combination of Cognos Planning and C8 BI to address them. Once that was proven successful, they explored other areas that would provide even greater impact. Ceridian is one of the largest providers of credit cards to the transportation industry—often truckers—who use it for fuel purchases, maintenance and related expenses of moving freight. They wanted to improve their customers’ ability to use that information to positively impact their effectiveness and efficiencies. On the back of Cognos, Ceridian created a business called Comate to help clients manage efficient, real-time fuel authorization/usage and reporting, minimize fuel expenses through analytics, and modify driver behaviors, thereby reducing fraud and waste, all helping drive the bottom-line. Comate aggregates 100s of millions of POS fuel and related purchases in real-time and using Cognos, allowing its transportation company customers to help them manage their freight movement as efficiently as possible. For example, the Cognos-based analytics helps the companies direct their truckers to certain rest stops to take advantage of the lowest fuel prices. It can monitor miles/gallon metrics for individual trucks, helping the organization determine if there are possible maintenance issues or if their drivers need better training. Comate allows transportation companies to see minute-to-minute analysis and metrics, leading to real-time decisions that can be made with confidence. Ceridian projects these simple analyses results in a conservative savings of $300-400 million annually in fuel savings, fraud reduction, and optimizing their fleet. BANCOLOMBIA Increased productivity of audit staff by 80%, and increased Government compliance reporting score to 97% (up from 57%) Ban Columbia is one of Columbia’s largest private banks with more than 6 million customers across 2300 branches, 700+ ATMs. Due to a variety of challenges, including the robust drug cartels in Columbia, they needed to continue adherence to ever-strict government regulations to proactively identify and uncover fraud and money laundering. Ban Columbia, previously analyzed 100s of thousands of transactions per week—a huge labor cost fraught with error. With SPSS they were able to reduce that to 5,000 transactions per week to gain statistical significance, increasing productivity of audit staff my more than 80%. They saw a spike in “suspicious operations” reported revealing 40% more reported to the Government resulting in significant fraud reduction and resulting prosecutions. Their compliance reporting score from the Government was 57% and with SPSS saw it climb to 97% consistently, earning them one of the highest ratings of any bank. Finally, by using SPSS to analyze ATM transactions they were able to identify the latest money laundering techniques, which, when provided to institutions across the County, greatly reduce money laundering capabilities of the cartels. OMNICOM In first two years grew working capital by $200M and lowered accounts receivable greater than 60 days by 3.5% Omnicom is a strategic holding company managing a portfolio of more than 1000 ad agencies that are some of the most recognized in the world. With that come challenges. When new agencies are acquired they needed to be quickly aligned with the enterprise-standard FPM processes. Existing agencies were operating using a wide range of FPM processes, typically not aligned with corporate requirements, and often resulting in wildly inaccurate projections at the micro-agency level (resulting in poor resource allocation decisions) and at a macro level in terms of earnings projections to Wall Street. Omnicom (OMG), under the leadership of Finance, OMG designed a series of common metrics and KPIs for use globally. They believe these metrics allow them to assess, accurately, the state of present and forecast business, ultimately enabling them to take corrective action (or pursue uncovered opportunities that arise) in a proactive manner. From that, they built a common financial planning and modeling tool using Cognos Planning directed at supporting the business of each agency, but aligned with corporate goals and objectives. After two years there are more than 2,000 users globally, and the projections when they’re fully deployed should extend beyond 10,000. Their focus was: 1) ‘local ownership’ of process and solutions, 2) …yet aligned with corporate processes and goals; 3) focus on driving process efficiency, give more time for agencies to drive value-add activities, and 4) improved understanding and insight into their business at a macro- and micro-level (agency).OMG developed a HeadStart Program (akin to a Blueprint) to help agencies get up-and-running—process, technology and deployment—quickly. This is a model others should follow! As follow-on to this agency-level project, OMG Treasury deployed Cognos to get better transparency and insight into their balance sheet—and underlying components such as customers (and their impact of receivables, etc.). In the first two years they grew working capital by $200 million; despite an economic crisis, reduced AR aged > 60 days from 13.4% to 9.9%; and held bad debt expense at 0.4% despite their customer’s economic challenges. First Tennessee Bank 600% increase in uptake of cross-sell campaign, increased response rates by 3%, reduced mailing costs by 20% High marketing expenses were not paying off in terms of attracting new customers or expanding the (profitable) product usage among existing customers. This created great frustration because they believed they had all the relevant data on customers, but didn’t know how to apply it and ultimately, use it to drive their business’ financials. Campaigns directed at local populations were pure guesswork—what should they contain, and once deployed, were they working? The bank couldn’t effectively answer either question. Through SPSS Modeler and C8 BI, the bank was able to analyze and distill every customer’s monthly transactions and corresponding behavioral information. This allowed them to look at customers and their products to determine if they were high-, under-, or non-performing segments. Increased more than a 600% increase in cross-sell campaign uptake, driving significant improvements to their top-line. Increased customer response rates/win rates by more than 3%. Because a positive response to a particular product meant high margins, this small change drove big growth in profits. A reduction in mailing costs of more than 20%.Customer surveys show that these changes have led their customers to feel ‘closer to the bank’, and hence more loyal and willing to add products to their portfolios, which reduces the risk of high customer churn/departure. ALAMEDA COUNTY Social Services Agency Reduced waste and fraud by $11M+, freeing up resources to better serve the customers Alameda’s challenge is like any other government entity continued pressure on budgets and funding forcing regular annual drumbeat from above “Do More With Less…” Complicating matters are citizens whose demands for services, support and response times to continually improve. Alameda’s leader, Don Edwards, realized while there were internal pressures, the focus needed to be on the ‘other side of the counter’: the people who are missing work in hourly jobs coming in for some social service and get told “you need to come back tomorrow…” Services needed to meet/exceed those peoples’ expectations. To do that required more intelligent customer interactions, which, in many facets, required providing the Case Workers supporting those customers with intelligence allowing them to serve their needs, and uncover not-yet-defined needs through intelligent alerting. Implemented a system termed “Social Services Integrated Reporting System (SSIRS) on the back of Cognos 8 BI solutions. In its first year of operation, not only were Edwards’ teams able to better serve their customers, but were able to reduce waste and fraud by more than $11 million, thereby freeing up more resources to serve the customers even better in the future.
• Need a plan to retain existing customers and market share
• Analyze historical data and predict root causes of churn
• High value customers are affected
• ‘What‐if’
we adjust our plan for success
Presenter
Presentation Notes
MBI Telecom is struggling with high subscriber churn, due to the influx of new MVN operators (MVN = Mobile virtual network operators) �A business analyst must investigate the problem and develop a plan to provide value to MBI customers. The business analyst leverages a BI Dashboard to explore and analyses internal data, and confirms that revenue targets are being missed, activations are on track, and deactivations (churn) is on the rise. � To continue the analysis of this data to uncover more context in new and innovative ways , he shares his analysis with MBI’s advanced analyst who uses Statistical analysis to create a forecast of future missed targets if no other action is taken. How much worse will they be in one year if they don’t adjust course? � The Advanced Analyst then uses Predictive analytics to develop a predictive model using historical data to determine the leading causes of churn which they learn is directly related to data speed (i.e.: network congestion). � The business analyst concludes that further analysis needs to be done on this network congestion problem since it is affecting high value customers. He performs what-if analysis based on the insight provided by the statistical analysis and predictive model created and adjusts his companies expenditure plan.
MBI Telecom is struggling with high subscriber churn, and with the flood of new Mobile Virtual Network Operators (MVNOs), things have gotten worse. As a business analyst, I have been tasked with understanding this problem and coming up with a plan.
Intuitive and easy to use, it is the single place that
you go to find answers to key business questions
• Personalized workspace content
• Search assisted authoring
• Drag and drop assembly
• Dynamically filter
• Quicker and deeper insight into data
Explore, visualize and consumeAssemble and explore any type of data in one workspace
An enterprise workspace with intuitive navigation and a streamlined look
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Presentation Notes
Over the years, Business users have been calling for more self service, the ability to make changes to professional reports without having to ask the IT dept or to create their own reports. IBM’s answer to that is Cognos Workspace where business users can access those pro reports and report parts to create their own views of information. This gives Business Users the freedom they want and the control that IT needs. Traditionally BI has delivered multiple interfaces that change depending on the capabilities that are required. With Cognos BI the full breadth of BI capabilities come together in a single Unified Workspace. This delivers immense business value as it enables all users to have a complete perspective of their business, viewing historical information, real-time information as well as ‘future’ information. Users are able to progressively interact with their information without needing technical support provided by IT. Individuals can quickly ‘test hypotheses’ and bring in additional key information that will support decisions by simply moving from viewing information in a report or dashboard, to easily modifying or creating new views and reports. Built-in collaboration is an integral part of Cognos BI, enabling accelerated alignment amongst decision makers which allows a company to make faster and improved decisions.
To understand the long-term implications of what affect this will have on the business, I would like to create a predicted forecast of the next years churn numbers based on the known historical data. What would be the result to the business if no corrective action were taken, how many more deactivations could we expect to have a year from now?
Statistical analysisHypothesis testing with advanced statistical analysis and predictive analytics
Validate your assumptions and test hypotheses
• Quickly describe and explore data with easy-to-
access procedures and algorithms
• Identify key groups with factor analysis and cluster
analysis
• Make predictions and drive decisions with linear
and ordinal regression
• Present results graphically and with charts, with or
without significance levels
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Presentation Notes
Statistical analysis commonly involves an analyst formulating a hypothesis and then testing the validity of this hypothesis by running statistical tests on data that may have been collected for the purpose. The main point here is that the analyst has formulated a hypothesis and then used a statistical test along with a data set to provide evidence in support or against that hypothesis. SPSS’ foundational technology leverages sophisticated mathematics to help researchers validate assumptions and test hypotheses. From testing opinions on the latest product feature ideas or the viability of a political candidate – to the efficacy of a new drug treatment or prospective supply chain allocation, statistics enables an organization to look at the beliefs of an organization and validate whether those views are based in fact. Gut feeling and instinct are only as good as the experiences brought to the table; statistics will make you confident in the results and final outcomes of decisions you make. SPSS statistics is the world’s leading statistical software suite used by commercial, government and academic organizations to solve business and research problems. It’s really quite simple: First, we help people validate (or disprove!) assumptions faster, efficiently using the right statistical capability at the right time. We give analysts flexible access to a host of statistical analysis power, meeting the needs of the most experienced down to the learner Finally we help organizations make the most of their analytical resources, scaling from the simplest initiative to the most widespread endeavor. (T) The bottom line is that SPSS Statistics is the most accessible statistics tool on the market today – enabling organizations to apply mathematical discipline to their decision making Tie back to the demo Quickly describe and explore data with easy-to-access procedures and algorithms – in the demo we quickly import the stats file, and visualized the data and started a forecast Make predictions and drive decisions with linear and ordinal regression - used Statistics to build the forecast Present results graphically and with charts, with or without significance levels – represented data graphically and we now know that decisions must be made to adjust our plan to improve the business.
To help make the appropriate decisions to take corrective action we must first understand why our customers are churning. We can create a predictive model to help us discover any correlation between churn and an unknown cause, once again based on our historical figures.
Predictive Analytics Solve your toughest challenges with data mining
• High-performance data mining and text analytics workbench
• Easy-to-use, interactive interface without the need for programming
• Creates predictive analytics for data driven decision making
• Enables superior outcomes and positive ROI through predictive intelligence
Deliver the power of predictive analytics to the business
Uncover key insights in your corporate data by
integrating predictive analytics as a core activity to
drive business decisions
Presenter
Presentation Notes
Data mining is another area of data analysis that has arisen more recently from computer science that has a number of differences to traditional statistical analysis. Firstly, many data mining techniques are designed to be applied to very large data sets, while statistical analysis techniques are often designed to form evidence in support of or against a hypothesis from a more limited set of data. Probably the most significant difference here, however, is that data mining techniques are not used so much to form confidence in a hypothesis, but rather extract unknown relationships that may be present in the data set. This data mining and text analytics workbench, allows users to creates predictive intelligence by uncovering patterns and relationships in the data. The data can be structured and unstructured. Structured, meaning that you can use data like age, gender, marital status, income etc and unstructured, which is things like textual data in call center notes, social media content, or other open text. The concepts are then extracted from the text, along with the sentiment, which can then be used in the model building process. By combing a persons thoughts and attitudes with their demographics or other attributes, you are able to greatly increase the accuracy of the models. Predictive analytics allows organizations to become proactive, anticipating outcomes or behaviours based upon the data and not on a hunch or gut feel. And when predictive analytics is deployed within business or operational systems. The results can impact a wider audience and enhance the way things get done, leading to greater returns on the investment. Note difference between stats and modeller (statistical analysis vs predictive modelling/data mining) A lot of statistical analysis is about analyzing data to either form confidence for or against a stated hypothesis while data mining is often more about applying an algorithm to a data set to extract previously unforeseen relationships. Statistical analysis commonly involves an analyst formulating a hypothesis and then testing the validity of this hypothesis by running statistical tests on data that may have been collected for the purpose. The main point here is that the analyst has formulated a hypothesis and then used a statistical test along with a data set to provide evidence in support or against that hypothesis. We are performing data mining using the data from the stats file we use We use structure data We used drag and drop GUI without any programming in Modeller We are able to now know what customers are going to churn and why they will churn and what needs to be done to fix the issue
I’m now going to add the forecast and predictor information back into my enterprise dashboard using the drag and drop interface. On a single pane we’re are able to compare planned versus predicted churn for the next 12 months also see why customers are churning and maybe most importantly which customers will likely churn. All of this will help me take corrective actions to stop deactivations.
Desktop analytics for actionable insight Enable users to focus on what’s important
• Flexible workspace for creative dashboard designs• Connected and disconnected planning client• Easy write back, built in calculations, what-if scenarios• Personal analytics extended to the Cognos Enterprise
Bringing agile data analysis and exploration to the business user
Bring value to your business needs with a fast way to
visualize and analyze data…without assistance.
Presenter
Presentation Notes
Business users today need more than authored top down reports or static views of enterprise data, they need detailed analysis of specific data sets that span across multiple data stores and provide insights into the operations that are relevant to their business role. Such is the case for a regional Sales Executive who must contribute to the corporate sales target plan, but is responsible for her territory and wants to boost pipeline using her sales dashboard to quickly analyze particular industries for specific products sold where discounts were below 20%. Cognos Insight is a desktop data analysis & planning tool designed to support business users who have a lot of questions that need to be answered about their data and can’t easily find the answers in large data warehouses. Insight is a great place to get started when Line of business requires flexible independence to quickly analyze data IT is not available or report authoring processes take time Departmental or work group collaboration is required Cost of ownership and price sensitive budgets for software and support are limited Want to begin now Cognos Insight is part of the Cognos Family Common capabilities: dashboards, analysis, planning and collaboration Everything you build with Insight can be shared and extended within the Cognos Family Growing path from Cognos Insight to Cognos Express or Cognos Enterprise Cognos Insight brings self service data analytics to the line of business without compromising IT values
Mueller builds a customer-focused businessThe need:Mueller wanted to adopt a more a retail‐driven business model and required a better
understanding of its operations and performance. To accomplish this, the company needed
to measure and improve sales performance, create effective business plans and gain deep
insight into patterns and trends in its data.
The solution:Mueller started using IBM®
Cognos®
Business Intelligence in the early 2000s. The company
then implemented IBM Cognos Performance Management. In 2012, Mueller upgraded to
IBM Business Analytics solutions that fully meet its complex requirements, including the
latest versions of IBM Cognos TM1®
, IBM Cognos Business Intelligence and IBM SPSS
Modeler.
The benefit: • Business Intelligence – track and improve sales performance
• Planning and forecasting – provides a better understanding of immediate changes
required to meet growth targets
• Predictive modeling ‐
reveals patterns and trends that help predict future risks and
opportunities
“IBM has always been a key partner for us – not just in the field of analytics, but right across our business. We’ve relied on IBM’s quality for 25 years, and if I had to pick one partner to help us with the challenges of the next 25 years, I don’t believe I could make a better choice than IBM.”—Mark Lack, Manager of Strategy Analytics
& BI, Mueller
Solution components:
IBM Cognos Business
Intelligence and Enterprise
planning
IBM SPSS Modeler
Presenter
Presentation Notes
Metal construction product manufacturer Mueller wanted to adopt a more a retail-driven business model – but driving change would require a better understanding of its operations and performance. By harnessing a suite of analytics technologies, the company is now able to measure and improve sales performance, create effective business plans and gain deep insight into patterns and trends in its data. Shows sales teams how to improve performance, driving cultural change. Provides hourly insight into manufacturing processes, enabling greater efficiency. Identifies anomalous transactions, helping to combat fraud. Cognos BI for scorecarding and personalized dashboards To keep track of sales performance, Mueller worked with IBM to deploy IBM® Cognos® Business Intelligence. The IBM team helped Mueller design a balanced scorecard for strategy management in Cognos Metric Studio. Mueller has started using a new feature called Business Insight to empower regional sales managers to track and improve the performance of their sales teams by creating their own personalized dashboards. TM1 for planning and forecasting We wanted to get input from employees across the company, and gain a bottom-up understanding of what we needed to do in the immediate future.” Mueller initially implemented IBM Cognos Planning, and subsequently upgraded to IBM Cognos TM1®. Today, Mueller’s sales teams from across the country enter their actual sales figures and sales forecasts into TM1. Mark Lack says: “By helping us harness the knowledge and expertise of all our sales teams, Cognos TM1 gives us a better understanding of our retail business, from the ground up. It helps us to understand what we needed to change in the immediate future to meet our growth targets.” SPSS Modeler Mueller decided to start looking even further into the future. By using IBM SPSS® Modeler to mine enormous volumes of transactional data, the company aims to reveal patterns and trends that will help to predict future risks and opportunities, as well as uncover unseen problems and anomalies in its current operations. One initial project with IBM SPSS Modeler aims to help Mueller find ways to reduce its fuel costs. Using SPSS Modeler, the company is building a sophisticated statistical model that will automate the process of analyzing fuel transactions for hundreds of vehicles, drivers and routes.
How to get startedEnterprises that apply analytics within their organizations perform better than their peers*
Ready!
Test your Analytics Quotient and measure your businesses analytic journey
Set!
An Analytics Center of Excellence (ACE) is a team of people with analytics expertise that manages an organization’s analytics strategy, program and technologies.
Download - The 5 Keys to Business Analytics Program Success for FREE from the ACE community and gain the knowledge of 10 organizations with expertise in Business Analytics and turn your BA strategy into an actionable plan and winning formula
Go!
Establishing an Analytics Center of Excellence is a proven approach to driving analytic success in an organization.
97.3 percent of those at the Master level of AQ maturity have a center of excellence
Learn more about the Analytic Center of Excellence on AnalyticsZone.com
Presenter
Presentation Notes
Enterprises that apply analytics within their organizations perform better than their peers We want to provide you with a starting point and we offer a quick way to do this through a short quiz that tests your Analytics Quotient or AQ to measure how your company is engaged with business analytics. We know that all companies are involved to some degree with data analytics, however many companies are not sure how to use business analytics in a way that will bring measurable success to their operations. An Analytics Center of Excellence or ACE, does just that by involving a group of people within the business that can forge a meaningful and program and strategy to embrace business analytics in a corporate setting. Download The 5 Keys to Business Analytics Program Success to learn more about how other business’s have been able to make a difference in their way of looking at their operations. Finally, you can start small and establish a resource team, an ACE community to reach towards a level of business analytics maturity that your team can agree upon and move towards that goal. To learn more visit the ACE community on AnalyticsZone.com * *Source: ”Outperforming in a data-rich, hyper-connected world,” IBM Center for Applied Insights study conducted in cooperation with the Economist Intelligence Unit and the IBM Institute of Business Value. 2012.
Get engaged with a complete range of business analytics capabilities. Open up
new and innovative ways to explore your business’s performance through
technologies, applications and skills. Drive confidence with focused decisions for
successful outcomes in your organizations.
Presenter
Presentation Notes
We hope that we have shown you the art of the possible, to move beyond managed reporting and to explore a vast array of Business analytics products that can drive confidence and success not only in the companies operations, but in your day to day decision making. Business analytics opens up this door by providing you with increased analysis and intelligence of what your business is doing, predictive capabilities to show how the business might perform differently and the structure to plan for successful outcomes. To get started with business analytics quickly, visit AnalyticsZone.com and download a free version of Cognos Insight to learn more about your data. For more detailed information on what we have discussed today, please visit The Business Analytics ped or our website IBM.com
