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Business Intelligence Technology and Career Options Paul Boal Mercy Health March 23, 2011
Business Intelligence
Technology and Career Options
Paul BoalMercy Health
March 23, 2011
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?
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What do you do in Business Intelligence?
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What do you do in Business Intelligence?
Data Governance Data Architecture, Analysis, and Design Database Management Data Security Data Quality Master Data Management Data Warehousing Reporting Metadata Management
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Data analyst
Business analyst
Data modeler
Data architect
Report writer
BI developer
ETL developer
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
The (sometimes) thankless part…
Data management isn’t important…
First priority is delivering services/products…
Reporting is easy…
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Mercy Data Warehousing / Mercy Insight
Here’s how easy it is…
COMMON CHALLENGES
Getting access to source data Working with application teams Data quality and data stewardship Master data management User Expectations
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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
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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
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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
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http://ocdqblog.com
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
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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
FTEwasteyrhrswaste
yrhrs
yrhrs,
yrhrs ,dataking with % time wors ker co-wor
5.75008,151%)20%64(200,343
200343000288195
STAYING FIT
Organizations / Conferences TDWI B-Eye-Network TDAN Analysts: Gartner, Forrester
Blogs I'll email you my Google Reader list: [email protected]
Twitter BI Twitter List
Open Source and Developer Tools Talend, Pentaho, Jaspersoft, BIRT, Infobright Oracle, Teradata, IBM
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Demonstrations
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Business Objects Universe
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Business Objects WebI
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Dashboard Example
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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
Databases MySQL, Oracle, Teradata, SQL Server, Infobright Teradata University Network
Internships
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