2. Do It Strategically with Microsoft Business Intelligence! Bojan Ciric Strategic Consultant bojan.ciric@asseco-see.rs

3. INTRODUCTION QUIZ

4. Domain of Business intelligence? A …is a broad category of applications and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions. B … is the processing of data about customers and their relationship with the enterprise in order to improve the enterprise's future sales and service and lower cost.

5. Who is the owner of the organizational data? IT department Business Users

6. DW is a mandatory part of BI? TRUE FALSE

7. Platform/Technology is most important factor of BI project success? TRUE FALSE

8. BI Project team is consist of? A B Mostly IT people with low Business people involved C Mostly Business people with low IT people involved Mixture of Business and IT people

9. INTRODUCTION

10. Top reasons to use BI in the organization Decision-making based on maximum of information potential Improve data accuracy and minimize errors Reduce time and cost spent creating reports Detect issues and opportunities Provide self-service information at any time Monitor, analyze and manage business objectives

11. Tactical versus Strategically

12. Organization presumptions for BI deployment You truly want to know your business You do it in a systemic way (right points of supervision, right reports at the right time and so on) You have enough executive support to enable relevant results It is an evolutionary process, as such it needs time to evolve BI as a technology is borderline worthless. As a religion, it can save an organization. However, without enlightened management, dedicated analysts, and a culture of data-driven decision making, there's very little utility in the technology. I would estimate, even in this technology ready age, that about 10% of organizations have management ready for these apps. That adds up to a lot of failed projects when this is prescribed as a cure-all.

13. APOLLO 13:”HOUSTON, WE HAVE A PROBLEM!” There is a lot of data warehouse projects clamed as “success” upon implementation. However, a revisit after a few months with the business sponsors of the projects shows the utter failure. A majority of these failures are due to data quality issues. Moreover, various researches show that more than a half of data warehouse projects will result with failure in terms of: -Costs overruns -Time overruns -Project not delivered with required functionality Therefore, the right question is: how to be proactive in order to avoid to becoming ”failure” part of this statistic? Let’s find the answer.

14. BI Architecture – Strategic Approach

15. Critical Success Factors

16. Implementation Prerequisites Technical Platform

17. What users are looking for? ExecutivesAnalysts Easy to use Visualization Predictive Analysis Scenario Analysis Predefined reports Dashboards Easy to Access Detail data Aggregated data Free form reports Ordinary Users Can we use the same foundation for all types of users?

18. User Adoption

19. The Dreams Comes True?

20. Agenda PART 1 Business Intelligence and Business Problem - Tactical or strategic approach? Do it on Strategic way! – Establishing a BICC, Implementation methodology, Project Management Methodology, Platform and Tools Selection, Data Governance and Data Quality Policies, Standardization/Corporate Data Dictionary Project prerequisites (in details) Business Case Definition, Project Organization (roles and responsibilities), Designing Architecture, Project Plan, Mentor, Business Owner Project Implementation(in details) – Business Requirements Analysis, Data Model definition, Data Source Analysis, Mapping Data Sources to the Data model, OLAP & UI modeling, Data Integration, OLAP & Front end development, Technical Deployment, Stabilization, Project Acceptance, Project Risk Mitigation (Risk Matrix, Issue Log) ------------------------------------------------------------------------------------------------------------------------------ PART 2 Using Microsoft BI platform for STRATEGIC implementations – Data Integration - Microsoft SQL Server Integration services – OLAP & data Mining – Microsoft SQL Server Analysis Services (Cube, Hierarchies, KPI, prediction) – User experience Microsoft Office Excel as powerful BI Client (predefined and free form reports, pivoting, data visualization) Microsoft SQL Server Reporting Services Integration Microsoft Share Point Portal Server (dashboards) Miscellaneous – Improve platform with Metamodel and custom developed components The new wave – Office 2010, SQL Server 2008 R2 Hands On – Solution Outline

21. Goals Fully understandings of the benefits leveraging on Strategically BI deployment Capacity to apply Microsoft BI platform for Strategically BI deployment Terms and Conditions for Strategically Deployment Technical Platform understanding (Microsoft) Solution Architecture Design COURSE LEVEL Deep down technical details