overview of the business warehouse at the university of tennessee
DESCRIPTION
Overview of the Business Warehouse at the University of Tennessee. BW Technical Team John Jarrard Jackie Swingle, Jackie Daste, Daniel Dooley (consultant), David Goforth, Ed Johnson, Lynn Sterling December 6, 2000. Today’s Presentation. Project Background and Status - PowerPoint PPT PresentationTRANSCRIPT
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Overview of theBusiness Warehouse
at the University of Tennessee
BW Technical TeamJohn Jarrard
Jackie Swingle, Jackie Daste, Daniel Dooley (consultant),David Goforth, Ed Johnson, Lynn Sterling
December 6, 2000
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Today’s Presentation
• Project Background and Status
• Business Warehouse Concepts
• The Payoff
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Two Projects In One
• Establish:
Legacy Business Warehouse (LBW)
IRIS Business Warehouse (IBW)
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LBW Goal
To provide continuing computer access to legacy master and detailed data not planned for conversion to UT’s IRIS system
(OLTP, Active R/3)
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IRIS BW Goal
To provide continuing computer access to
IRIS financial and human resources data for end user query and decision support processing...
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Develop IRIS Business Warehouse
• Statewide BW Project Team
– Identifies data and reporting needs
• Technical Support Team
– Supports implementation
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Original Emphasis and Plan
• Implement a Legacy Business Warehouse
• Address an IRIS Business Warehouse following IRIS Go-Live date of
April, 2001
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New Emphasis and Plan
• Cut our teeth on
Legacy Business Warehouse
• Implement the IRIS Business Warehouse concurrent with the IRIS Go-Live date of April, 2001
– i.e., Management Information System component of IRIS
Revised
Plan
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Why the Change?
• Continued availability of mainframe
• Recognition of robust query and Decision Support System (DSS) capabilities of BW
• More effective use of consulting resources
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New Schedule and Plan
• Continue to convert legacy data sources to LBW
• Initiate IRIS Business Warehouse Project in November, 2000 for
Go-Live with IRIS R/3
• Complete legacy conversion post IRIS
Go-Live
Go-Live
April, 2001
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Current Status
• Significant progress on 3 of 4 legacy data sources planned for LBW
– Payroll History
– Employee Database
– General Ledger Database
– Financial Activity
• Business Warehouse servers installed
• Upgrade to BW 2.0B Completed
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Current Status (Continued)
• Technical Team 2.0B Delta Training Complete
• Initial IRIS R/3 InfoCubes Selected for Activation
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Some Important BW Concepts
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The Goal: Decision Support
• Originally, paper reports produced by programmers
• About 1980, copy data from paper reports to spreadsheets
• Today, user access to data with analysis and formatting as needed
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What is a Data Warehouse?
• A database used solely for reporting and analysis
– Organized by subject area
– Integrated
– Nonvolatile
– Time Variant
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Data Warehouse: Subject Oriented
• Organized into subject areas versus transactions or data entry
Athletic Event System
Cultural Event SystemHR System
Employee Participation in UT EventsSubject Area
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Data Warehouse: Integrated
• Data coming into the warehouse is modified to assign a common coding scheme
Athletic Event SystemCultural Event System
Employee Participation in UT EventsSubject Area
Department code:9999999
Department code:xxxxxxx Department code:
xxxx99.99
Department Code:
Common Code or mapping of the various source codes
HR System
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Data Warehouse: Nonvolatile
• Read-only
• User can’t write back
Transaction
Processing
(IRIS)
Warehouse
(BW)
Read
Write
Read
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Data Warehouse: Time Variant
• To support trend analysis
• Historical data kept at different levels of detail
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Business Information Warehouse (BW)
• A separate application (add on)
• Is independent from SAP R/3. Has its own release and shipment cycle
• SAP R/3 runs the day-to-day business
• BW is used to support business decisions by providing:
– Information analysis
– Reporting capabilities
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• Integrated with SAP IRIS
• Delivered business content
• Support using existing knowledge base
– BASIS
– ABAP
• Comprehensive tool set
– Extraction
– Administration
– Query
Why BW as UT’s Solution?
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• Goal is to make relevant information available to selected user roles
• Assists with:– information deployment– data presentation and analysis– data warehouse management– data extraction and transformation
• BW is delivered with many pre-configured and extendable intelligence tools:– 48+ InfoCubes– 166+ queries– 182+ workbooks
BW Business Content
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BW Terminology
• Like many software products, SAP uses terminology that may be unfamiliar:
– BEx
– Query
– Operational Data Store
– InfoCube
– Key Figures
– Characteristics
– Dimensions
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BEx Analyzer
• An Excel based, interactive environment
• Serves as the reporting environment for end users
• Allows user to manipulate query output as a document
• Used to:
– Define queries
– Execute queries
– Analyze data
– Save queries (in workbooks)
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Queries
• Queries are the
instructions
used to retrieve
data from the
warehouse
• Users can
define their own
queries
Available
Query
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InfoCube
AvailableInfoCubes
• A subset of a data warehouse
• Designed to:
– Answer specific end-user’s queries
– Provide information for specific analysis
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Key FiguresKey Figures | available selected
• Quantifiable data
• Is the lowest level of detail
• Example:
– non-calculated:
Sick Leave Taken
Annual Leave Taken
Personal Leave Taken
– calculated:
Total Leave Taken
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Characteristics
• Describes the
Key Figures
• Typically, data selection criteria such as:
– Department
– Budget Entity
– Fiscal Year
Characteristics
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Dimensions• A logical
grouping of characteristics within an InfoCube
• An employee dimension might contain:– employee ID– DOB– Academic
Rank– Gender
Dimensions
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The Payoff
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Questions?