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Business Intelligence

Business Intelligence. Technology and Career Options. Paul Boal Director - Data Management Mercy ( www.mercy.net ) April 7, 2014. Opening Questions. What kinds of jobs does someone do in the area of business intelligence? What does someone working in business intelligence do?

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Business Intelligence

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  1. Business Intelligence Technology and Career Options Paul Boal Director - Data Management Mercy (www.mercy.net) April 7, 2014

  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. What do you do in Business Intelligence? Business analyst • Data Governance • Data Architecture, Analysis, and Design • Database Management • Data Security • Data Quality • Master Data Management • Data Warehousing • Reporting • Metadata Management Data analyst Data modeler Data scientist BI developer Data architect ETL developer Report writer 4

  5. What do you do in Business Intelligence? • Interview users • Understand business problems • Model the business • Analyze data • Integrate data • Write reports and interfaces • Drive data quality improvement • 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 • Applying AGILE principles 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 • Cloud solutions (the bad ones) • 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 http://ocdqblog.com 11

  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. Being the Expert 12

  14. 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 data1 • Current Efficiency Gap 13

  15. Challenge Applying AGILE • Agile Manifesto • Individuals and interactions over processes and tools • Working software over comprehensive documentation • Customer collaboration over contract negotiation • Responding to change over following a plan • Works great for interactive web apps • Challenging for data-centric / analytics 15

  16. STAYING FIT • Organizations / Conferences • TDWI • B-Eye-Network • TDAN • DAMA • Analysts: Gartner, Forrester • MeetUp (Data Science, Hadoop, R, Open Data) • Blogs • I'll email you my Google Reader list: paul.boal@gmail.com • Twitter • BI Twitter List • Open Source and Developer Tools • Talend, Pentaho, Jaspersoft, BIRT, Infobright • Oracle, Teradata, IBM 14

  17. Demonstrations 15

  18. Business Objects Universe 16

  19. Business Objects WebI 17

  20. Dashboards 17

  21. Data Exploration 17

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

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