The document discusses business intelligence (BI) tools and techniques that support better decision making. It notes that 90% of organizations fail to execute strategies successfully and 95% of employees do not understand how organizational goals relate to their jobs. It then provides examples of different types of BI tools, including reporting, analyzing, forecasting, and planning tools. These tools use data from sources like ERP, CRM, and SCM systems to turn data into insights. Dimensional data models and online analytical processing (OLAP) are discussed as traditional BI techniques.

1. Andrew Fryer Microsoft UK

5. BI Tools and techniques that support better decision making Turns data into insight Performance Management: Process to set objectives and plans Expressed as goals, plans, metrics & KPIs Uses Rules and Workflows Is Organisation aware.

6. 90% of organisations fail to execute their strategies successfully 95% of a typical workforce doesn’t understand how the organisational goals relate to their job. 86% of teams spend less than one hour a month discussing strategy 60% of organisations don’t link their strategies to plans and budgets Source: Palladium Group/BSCOL

8. Historical (& current) Consistent Integrated In the user’s model ERP CRM 3Pty SCM

11. What happened? What is happening? Why? What will happen? What do I want to happen? Reporting Analyzing Forecasting Planning For sales Operational Financial Statutory Performance management Business Activity Monitoring Sales analysis Campaign, Promotion analysis HR analysis Product mix Risk analysis Sensitivity analysis Volume and Sales forecasting Rates simulation Currency Hedging Stock portfolio management Store/ATM placement Promotion forecasting Supermarket queuing Routing Reorg simulation Budgeting New Product launch planning …

12. Central Repository Designed & optimised for Reporting Comprises Dimensions and Facts Star Schema Built in modular form from Data Marts

13. Used by everyone in the business Web based delivery Some interaction Filters, sort, export to file & Excel Can be run direct from source systems to support operations

14. Based on work by Norton & Kaplan Top Down approach Performance should relate to rewards

15. On-Line Analytical Processing (OLAP) Traditionally specialised use Multi-Dimensional or Relational Dimensions understand hierarchies e.g. Year-quarter-week Contain semi-additive & non-additive facts e.g. Closing balance, profit margin %

16. Invariably Excel based Traditionally finance focused Consolidation across enterprise Should feed back into the reports & analysis

17. Traditionally Highly Specialised Used for: Basket Analysis Customer segmentation Three stage process: Model built in on sample data Tested on Test data Deployed on Live Data

19. Applications & Analytical Clients Tools Platform

20. Compelling business need Strong business sponsor Good business / IT relationship Culture of analysis Infrastructure