1 1 The Big Picture of Business Intelligence: Goals, Concepts, and the Platform Rafal Lukawiecki Strategic Consultant, Project Botticelli Ltd

2 2 Objectives Overview state of Business Intelligence in 2010 Discuss the technology platform Introduce fundamental BI concepts The information herein is for informational purposes only and represents the opinions and views of Project Botticelli and/or Rafal Lukawiecki. The material presented is not certain and may vary based on several factors. Microsoft makes no warranties, express, implied or statutory, as to the information in this presentation. Portions © 2010 Project Botticelli Ltd & entire material © 2010 Microsoft Corp. Some slides contain quotations from copyrighted materials by other authors, as individually attributed or as already covered by Microsoft Copyright ownerships. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Project Botticelli Ltd as of the date of this presentation. Because Project Botticelli & Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft and Project Botticelli cannot guarantee the accuracy of any information provided after the date of this presentation. Project Botticelli makes no warranties, express, implied or statutory, as to the information in this presentation. E&OE. This seminar is based on a number of sources including a few dozen of Microsoft-owned presentations, used with permission. Thank you to Chris Dial, Tara Seppa, Aydin Gencler, Ivan Kosyakov, Bryan Bredehoeft, Marin Bezic, and Donald Farmer with his entire team for all the support.

3 Overview of BI and PM

4 4 Business Intelligence BI - Improving Business Insight “A broad category of applications and technologies for gathering, storing, analyzing, sharing and providing access to data to help enterprise users make better business decisions.” – Gartner

5 1. BI and Power of Visualisation 2. Balanced Scorecards

6 6 Business Intelligence Today Low end-user adoption rates and high reliance on IT Analyst Issues: Hard to access organizational data Reliant on IT for reporting Difficult to share insight IT Pro Issues: No time for ad-hoc BI requests Lack of control Organizational BI often expensive

7 7 From Organizational BI to Personal BI Enabling managed self-service BI IT Unmanaged IT Managed IT Involvement Self Service Easy to use On and Offline Collaborative Empowered, Managed, Accurate Accurate Secure Scalable Up to date Rogue “Spreadmarts” Data Sources Data Marts BI and LOB Apps Portals and Dashboards Corporate BI User Context Empowered Reliant on IT

8 8 Microsoft BI Strategy Democratizing Business Intelligence Familiar environment Integrated into Microsoft Office Built on SQL Server Improving organizations by providing business insights to all employees leading to better, faster, more relevant decisions

9 9 FY1FY2FY3FY4FY5

10 FY1FY2FY3FY4FY5

11 FY1FY2FY3FY4FY5 Classic Business Intelligence

12 FY1FY2FY3FY4FY5 Self-Service Business Intelligence Classic Business Intelligence

13 Three Contexts of BI Use Personal BI Built by me, for me, used only by me Team BI Built by someone on the team, shared inside a team Organizational BI Built and maintained by IT, for use across company

14 Technology Platform

15 Business User Experience Microsoft Business Intelligence You may already have these products Data Infrastructure and BI Platform Analysis Services Reporting Services Integration Services Master Data Services Data Mining Data Warehousing Integrated Content and Collaboration Thin client experience Dashboards & Scorecards Search Content Management Compositions Familiar User Experience Self-Service access & insight Data exploration & analysis Predictive analysis Data visualization Contextual visualization Business Collaboration Platform Data Infrastructure & BI Platform

16 Big Picture: Managing Information Data Warehouse Analysis ServicesMaster Data Services ERP CRM HRMS BI Developer or Analyst Integration Services

17 Big Picture: Dashboards, Scorecards Knowledge Worker Cubes, Warehouse Analysis Services

18 Big Picture: Reporting End User Cubes, Warehouse Analysis ServicesReporting Services

19 PowerPivot for Excel PowerPivot for SharePoint Analysis Services Big Picture: BI Analyst, Power User

20 Fundamental Concepts

21 Enterprise Data

22 Silo Integration Challenge Data Warehouse Call Center Web Apps Inventory ERPHR Finance CRM SOA – Enterprise Service Bus

23 Predictive Analysis PresentationExplorationDiscovery Passive Interactive Proactive Role of Software Business Insight Canned reporting Ad-hoc reporting OLAP Data mining Predictive Analysis Self-service Analysis

24 Ad-hoc Self-Service Analysis Interactive, pivot-based analysis of column- oriented large volumes of data (>>millions of rows) Pivots, advanced filtering (slicers), and tabular expressions + OLAP-style analytics Almost multidimensional “Cubes without a cube in Excel”

25 Dashboards and Scorecards Scorecard Table (pivot-like) of KPIs Dashboard Contains scorecards, analytical reports, and other analytical visualisations Create them: DIY: PowerPivot Quickly: SharePoint 2010 PerformancePoint Services Bespoke: custom SharePoint, Silverlight, and.NET development

26 Conclusions

27 Customer case: Piraeus Bank Solution SQL Server Data Mart drawing from non-Microsoft data sources SSAS cubes & SSRS reports on customer-product relationships BI Portal on SharePoint for 500 users combining MS and non- MS reports Report categorization by Business Unit, Role, etc. Benefits End-users: Single point of reference, ease of use Controlled access using Active Directory security Ease of initial and on-going development Performance on load and exploitation

28 Microsoft BI and PM Solutions At:

29 Summary Business Intelligence is a top IT priority for businesses Self-service analytics are quickly becoming crucial tools enhancing employees’ performance Good data warehouse design, master data management, data integration, and multidimensional design enable rich BI use

30 © 2010 Microsoft Corporation & Project Botticelli Ltd. All rights reserved. The information herein is for informational purposes only and represents the opinions and views of Project Botticelli and/or Rafal Lukawiecki. The material presented is not certain and may vary based on several factors. Microsoft makes no warranties, express, implied or statutory, as to the information in this presentation. Portions © 2010 Project Botticelli Ltd & entire material © 2010 Microsoft Corp. Some slides contain quotations from copyrighted materials by other authors, as individually attributed or as already covered by Microsoft Copyright ownerships. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Project Botticelli Ltd as of the date of this presentation. Because Project Botticelli & Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft and Project Botticelli cannot guarantee the accuracy of any information provided after the date of this presentation. Project Botticelli makes no warranties, express, implied or statutory, as to the information in this presentation. E&OE.