1. Business Intelligence Technology and Career Options Paul Boal Mercy Health March 23, 2011

2. Opening Questions What kinds of jobs does someone do in the area of business intelligence? What does someone working in business intelligence do? What are common tools used in business intelligence? 2

3. What do you do in Business Intelligence? 3

4. Data Governance Data Architecture, Analysis, and Design Database Management Data Security Data Quality Master Data Management Data Warehousing Reporting Metadata Management 4 Data analyst Business analyst Data modeler Data architect Report writer BI developer ETL developer

5. What do you do in Business Intelligence? Interview users Understand business problems Model databases Analyze data Integrate data Write reports Build dashboards Share insights Make the organization smarter… Solve Business Problems

6. The (sometimes) thankless part… Data management isn’t important… First priority is delivering services/products… Reporting is easy… 6

7. Mercy Data Warehousing / Mercy Insight Here’s how easy it is…

8. COMMON CHALLENGES Getting access to source data Working with application teams Data quality and data stewardship Master data management User Expectations 8

9. Challenge: Getting Access to Data Vendor Contract Obstacles Flexibility of vendor to allow access / support Cost of building extracts Technical Obstacles Legacy systems, programming/system skills Knowledge Gaps Knowledge of source system data Cultural Obstacles Application team controls access too tightly Development teams are timid about database access 9

10. Challenge: Application Teams Development Style You tell me exactly what you want and I'll build it. Give me the business logic and I'll build it. Analytical Hubris This is the way it works; come to find out the data doesn't match. I assumed that you wanted it like that other extract. Fear of a down-stream dependency e.g. Kronos PR530 The PICA code 10

11. Challenge: Data Quality & Master Data Management Not analyzing or profiling data contents Using terms rather than ideas Building in rules that are too strict Missing formal data governance policies Lack of clear data stewardship Data seen only as operational 11 http://ocdqblog.com

12. Challenge: User Expectations Sometimes, users expect computers to be able to solve problems for them; Sometimes, users don't want the system to do anything for them. Rationalize data integration / data warehousing 80% gathering information together 20% analyzing and decision making Web 2.0 versus Enterprise Applications Enterprise solutions versus departmental control System Performance 12

13. Challenges in Getting Value from Data Data Usage Survey 195 data users across Mercy (of 380 surveyed) analysts, informaticists, statisticians, report writers Top Challenges Finding the data they need Performance of the systems they use to access data Integrity of the data they have access to Integrating data from multiple sources Target 80% using data and %20 getting data 1 Current Efficiency Gap 13

14. STAYING FIT Organizations / Conferences TDWI B-Eye-Network TDAN Analysts: Gartner, ForresterGartner Blogs I'll email you my Google Reader list: paul.boal@gmail.compaul.boal@gmail.com Twitter BI Twitter List Open Source and Developer Tools Talend, Pentaho, Jaspersoft, BIRT, Infobright Oracle, Teradata, IBM 14

15. Demonstrations 15

16. Business Objects Universe 16

17. Business Objects WebI 17

18. Dashboard Example 18

19. Tools / Resources Open Source BI Pentaho – reporting, analytics, integration, dashboards, mining Pentaho Talend – integration, data quality, master data Talend Jaspersoft – reporting, analytics, integration, dashboards Jaspersoft Actuate BIRT – reporting Actuate BIRT Open Source Stats/Mining R – statistics R Weka – machine learning Weka Databases MySQL, Oracle, Teradata, SQL Server, Infobright Teradata University Network Internships 19