1. W EB FOCUS M OBILE Copyright 2011, Information Builders. Slide 1 providing business intelligence for the mobile user with

2. Driving WebFOCUS Mobile Copyright 2011, Information Builders. Slide 2 “Mobile BI has the potential to significantly expand the population of BI users to include a much more mainstream audience … By 2013, 33% of BI functionality will be consumed via handheld devices." - Gartner, Jan. 2011 “Mobile BI has the potential to significantly expand the population of BI users to include a much more mainstream audience … By 2013, 33% of BI functionality will be consumed via handheld devices." - Gartner, Jan. 2011

3. Copyright 2011, Information Builders. Slide 3  WebFOCUS Mobile Strategy:  Device independent BI solutions  Develop once, run from anywhere  Highly interactive, device exploitive Web Apps with built in analytic capabilities  Embed BI Web Apps in custom applications  Common BI security framework  Read and write access  No additional hardware, software required  WebFOCUS Mobile Components:  Mobile Favorites (portal)  Mobile Faves (os app)  Active Technologies  WebFOCUS Maintain  …and more (e.g.: Self-Service access) Any Device, Any Form Factor, Any OS Platform

4. Mobile Favorites Portal for Any Mobile Device Copyright 2011, Information Builders. Slide 4  Simple and intuitive access of WebFOCUS content on any device  Administrator or user driven content assignment  One click content designation for access on mobile devices  Leverage WebFOCUS secured access  Deliver Guided Ad Hoc  Deliver AHTML, HTML, PDF, Excel, etc.

5. Copyright 2011, Information Builders. Slide 5 Mobile Faves Hybrid App for Apple Devices  Native consumption of WebFOCUS Content  Extends Mobile Favorites portal (normal “pull”)  Email Attachments (“Open-in” prompt)  Subscribed reporting (automatic “push”)  Easily access online and offline content (1-2-tap)  Allows saving, emailing, and cataloging BI content

6. Active Technology Web Apps  Ease of Use  Single-tap UI paradigm **new  Full gesture & screen rotation support **new  Embedded data analysis and visualization  Full offline data interactivity  Ease of Development  Dynamic device detection  Build once, fit in any device  Industry Standard  Send data with 128-bit encryption  Web Apps technology **new  iPhone App-like UI **new  Available in HTML or Flash **new

7. Active Technology Web App Gesturing Scrolling Paging Freezing

8. WebFOCUS Maintain for User Input Copyright 2011, Information Builders. Slide 8  Transactional updates and write-back data entry  Encourage collaboration and on-demand input  Support for E- Commerce

9. Across Mixed Devices Copyright 2010, Information Builders. Slide 9

10. Availability - Release  Mobile Favorites – Available in WebFOCUS 7.6.4 and higher  Web based reports are web compatible including Active Technology (without enhanced Active Technology features)  WebFOCUS Pro Portal – New Fee Schedule Item  Bundles WebFOCUS, Mobile Favorites, and Active Technologies  WebFOCUS 7.7.03 – Available Now  Contains Latest Active Technology with support for HTML 5, gesturing, and Flash-or-HTML5 rendering  Mobile Faves app available now in App Store  Free download  Requires a license for WebFOCUS Mobile Favorites to work with your own WebFOCUS Server  WF release 7702M (without enhanced Active Technology features) Copyright 2011, Information Builders. Slide 10

11. Demo: Mobility Independence

12. MAGNIFY SEARCH Instant access to business intelligence Copyright 2010, Information Builders. Slide 12

13. Copyright 2010, Information Builders. Slide 13 Mainframe Single Access Point To All Applications and Databases Single Point of Information Access IT Business Analysts Anyone MainframeApplicationMainframeApplicationData Multiple Application Interfaces

14. Convergence of BI and Search: Developing simple but powerful applications for information inquiries Copyright 2010, Information Builders. Slide 14 Information Inquiries (1)Search for customer account (2)Search for vendor transaction (3)Get account balances (4)Get all transactions exceeding $ X.xx Leverage the strengths of each technology Leverage hardware and software Simplify development, maintenance & deployment Offer better and more complete user experience

15. Magnify: Introduction

16. Copyright 2010, Information Builders. Slide 16 What is a search result?

17. How The Magnify Platform Works The Magnify Process Capture content in real time as information is added or edited. Catalog content with a search engine index using tags to categorize, secure, rank and present results stored. Cost effective and highly scalable solution leveraging open source Lucene. Business intelligence reports presenting various ways to view found content. Clustered indexes keep search within one application as more information becomes available. Search Request Magnify Results Report Request WF Report Enterprise Content Transform Content into Searchable Information

18.  Search Based Application  facet category counts and spell checking  available in various languages  query score percentage  updated tabular feature set  Development  file type auto-detection  open office and archives  expose file properties  Security and Administration  optimize memory usage and performance  content analysis and organization  collection security Magnify Search: New Features

19.  Challenge  Building Search Based Applications (SBA) required specialized skills mainly information architecture  Not many people have this skill  Realization: Building Search Based Applications is no different than building reports  Magnify category fields equal BY fields in WebFOCUS  Searchable content equal PRINT fields in WebFOCUS  New Feature: FORMAT MAGNIFY  Transforms raw data into search content  Create reports in Developer Studio  Change format to Magnify …. AND YOU ARE DONE! Magnify Quick Feed: Create Magnify Applications Easily

20. Magnify Search Application Use Cases

21. Magnify Demonstration Copyright 2011, Information Builders. Slide 21

22. RSTAT PREDICTIVE ANALYTICS predicting the future could make an impact on the bottom line Copyright 2010, Information Builders. Slide 22

23. Copyright 2007, Information Builders. Slide 23 Business Dilemma Send catalogs to 300k prospects Cost: $100 per catalog Average Profit per response is $250 (hypothetically) Response: a little over 29% of prospects receiving catalog Under these conditions, a catalog campaign will not be profitable - with a little math, actually lose $8.25million.

24. Copyright 2007, Information Builders. Slide 24 Impact… Target 20% of most likely responders based on model output. Likely to make $9million profit A realized gain $17.25 million

25. What is Predictive Analytics? Predictive Analytics (PA) helps one to…  Discover/understand what’s going on  Predict what’s going to happen  Improve overall decision making  Improve business processes  Create a competitive edge! Predictive Analytics IS a key business process…  Learning from experience  User-centric, interactive  Leverages analysis technologies and computing power  An information-based approach to decision making  Results are mainly used in a forward-looking style

26. Copyright 2007, Information Builders. Slide 26 Predictive Analytics vs. Business Intelligence Business Intelligence  User driven  Rear view  Manual methods  All attributes needed  Reportable info  Experience-driven Predictive Analytics  Data driven  Forward view  Automated methods  Only key attributes needed  Actionable info  Data-driven

28. Predictive Modeling and Scoring Applications Definition of Predictive Modeling: Predictive modeling is a process that: (1) takes as an input historical data, (2) evaluates it statistically, (3) creates as an output, a mathematical formula or a set of rules, (4) which can be applied to a new record or a new set of records (5) to calculate a score (the prediction) for each record. The score/prediction can be used in any report to facilitate decision making. Definition of Scoring Application: A scoring application integrates the created model (#3 above) into workflow application that provides the UI for users to extract data or pass records to the model and return the results into a report or a process flow.

29. Copyright 2007, Information Builders. Slide 29  Single BI and Predictive Analytics Environment  Re-use metadata and queries  Perform data manipulation and sampling  Build scoring applications  Based on R-Project  Open source  Maintained by world wide consortium of universities, scientists, government funded research organizations, statisticians  Over 2000 packages  RStat is a GUI to R  Intuitive guided approach to modeling  Simple model evaluation  Intended both for business analysts and advanced modelers Business Value: By binding predictive analytics with WebFOCUS you can embed high probability directions, scores and expected outcomes into frontline operational processes, improving returns. WebFOCUS RStat

30. Building Predictive Applications Copyright 2007, Information Builders. Slide 30  Development is done in a fully integrated BI and Predictive Analytics Environment

31. WebFOCUS RStat Comprehensive List of Analytic Models  Supervised modeling for classification and prediction: A target (dependent) variable and a training set are required to build the model.  Unsupervised modeling for classification only: Classification is generated directly on the original data, without building a model first, i.e., dependent variables and training data are not required.  Clustering – both K-means and Hierarchical clustering  Association Rules  Hypothesis Testing: T-Tests, Variance tests.  Transformations: Rescales, Impute, Remap, and Cleanup  Descriptive statistic: Summary statistics, distributions, correlations, principal components  Model evaluation: Error Matrix, Risk chart, Lift chart, ROC Curve, Precision and Sensitivity charts Decision Trees Boosting (Ada Boost - algorithm) randomForests (the algorithm name is the same) Regression – Linear, GLM, Logistic, Poisson and Multinomial Association Rules (apropri algorithm for Market Basket analysis) Support Vector Machines Neural Networks (FeedForward Neural Network model) Survival Analysis – Cox PH and Parametric

32. Law Enforcement Applications of PA  Crime predictions  Enhance resource allocation to minimize crime occurrences  Minimize costs by deploying resources more effectively  Provide actionable, predictive information to the front lines  Increase officer safety

33. Application Use Cases of Predictive Analytics Financial ServicesHigher EducationInsurance Retail Telecommunications Gaming / Hospitality Manufacturing Government Healthcare

34. Horizontal Applications of Predictive Analytics  Marketing / CRM  Promotional targeting  Customer segmentation  Improve response rates  Cross and up-selling  Customer retention  Reduce campaign costs  Customer acquisition  Process improvement  Quality improvement  Warranty analysis  Time to failure  Resource allocation  Demand forecasting  Fraud / Risk  Fraud detection  Fraud prevention  Credit risk  Patient outcomes  Claims analysis

35. Demo: Create Scoring Application

37. Technology Priorities Trends How do you use Business Intelligence? Business intelligence applications Enterprise applications (ERP, CRM, others) Servers and storage technologies Service-oriented architecture ( SOA ) & business applications ( SOBA ) Document management Collaboration technologies Security technologies Technical infrastructure Legacy modernization, upgrade, or enhancement 1 2 3 10 9 8 7 6 5 4 Source: Forrester Research, Global BI and Data Management Study 44% of organizations do not use BI for strategic decision-making 73% of organizations do not use BI as a competitive differentiator

38. Technology Priorities Trends Is your Business Intelligence application easy to use? Business intelligence applications Enterprise applications (ERP, CRM, others) Servers and storage technologies Service-oriented architecture ( SOA ) & business applications ( SOBA ) Document management Collaboration technologies Networking, voice, and data Security technologies Technical infrastructure Legacy modernization, upgrade, or enhancement 1 2 3 10 9 8 7 6 5 4 Source: Forrester Research, Global BI and Data Management Study 68% of organizations do not find their BI applications easy to use

39. Core Philosophy: Continuous Innovation & Capability Expansion to Support Business & People Growth Over Time Copyright 2007, Information Builders. Slide 39

40. WebFOCUS 77xx, 8 and Beyond Copyright 2007, Information Builders. Slide 40

41.  Release 7.7.03 – GA now!  Features formerly planned for Release 8 accelerated due to customer demand and competitive market conditions  Release 7.7.04 – December, 2011  Release 8 – Beta now, Release December 2011  WebFOCUS Enable, RStat, and Performance Management Framework on flexible, independent release tracks  New ATS Strategic Support Services team – 100% focused on Premium Support customers Copyright 2007, Information Builders. Slide 41 WebFOCUS Roadmap Release Schedule & Related Initiatives

42. InfoAssist Empowering the Power User Copyright 2007, Information Builders. Slide 42

43. InfoAssist End-User Created Interactive Dashboards Copyright 2007, Information Builders. Slide 43

44. InfoAssist End-User Created Interactive Dashboards Copyright 2007, Information Builders. Slide 44

45. InfoAssist Interactive PDF Copyright 2007, Information Builders. Slide 45  Portable  Printable  User Friendly  Green  Design Savings

46. InfoAssist Analytic Dimensional Slicers Copyright 2007, Information Builders. Slide 46

47. InfoAssist: InfoMini Power User Custom Interactive Content & Gadgets Copyright 2007, Information Builders. Slide 47

48. InfoAssist Cube Data Analysis Enhancements Copyright 2007, Information Builders. Slide 48

49. InfoAssist Cube Data Analysis Enhancements Copyright 2007, Information Builders. Slide 49

50. Sales Fact Table Promotions Fact Table Shipments Fact Table YR QTR GeographyCATEGORY InfoAssist Driven New Features in Core Engine Multi-Fact Star Schema For Analytic Ad Hoc

51. Copyright 2007, Information Builders. Slide 51 BI Portal Operational Information Empowerment

52. Copyright 2007, Information Builders. Slide 52  i-Google like End User engagement experience  Built with Rich Internet Application approach  Consistent ribbon-style navigation for both building new portal views and user- based personalization  Flexible, component based approach to development and content customization New Business Intelligence Portal An Information Engagement Platform

53. Copyright 2007, Information Builders. Slide 53

54. BI Portal End User Portal Content Customization Copyright 2007, Information Builders. Slide 54

55. BI Portal Development of Portal Views Copyright 2007, Information Builders. Slide 55

56. Copyright 2007, Information Builders. Slide 56 BI Portal Development of Portal Views

57. Copyright 2007, Information Builders. Slide 57 BI Portal Development of Portal Views

58. Thank You