ISAS - Strategic Business Systems Group Data Warehouses and Business Information Quality John...
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![Page 1: ISAS - Strategic Business Systems Group Data Warehouses and Business Information Quality John Shelton Strategic Business Systems Group Manager.](https://reader036.fdocuments.net/reader036/viewer/2022062714/56649d485503460f94a23254/html5/thumbnails/1.jpg)
ISAS - Strategic Business Systems Group
Data Warehouses
and
Business Information Quality
John Shelton
Strategic Business Systems Group Manager
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Presentation Objectives
• Roles of the operational databases vs data warehouse within the organisation
• Low quality MIS vs high quality MIS
• ETL processing
• Quality data vs quality information
• Steps to implement a data warehouse
• MIS software demonstration
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Operational Reporting
Live Student Records
Live Finance Records
Live HR/PR Records
OperationalReports
OperationalReports
OperationalReports
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Drawbacks of Operational Reports
• Reports often have to be against current / live data sets i.e. immediate and up to date
• Performance implications due to :– Database Design being transaction based– Impact on Live System i.e. clashes with users
activity during the day
• Result of above = overnight reporting
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DMU MIS Requirements
• Information needed to make informed business decisions
• Acceptable response times
• Ability to Report over multiple time periods
• Drill down analysis
• Flexible reporting parameters
• To present information so that it can be understood and easily assimilated
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Current - Low Quality MIS Information
Local Data
Create Retrieve
Not Again!Not Again !
LocalData
LocalData
GeorgeJim
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Low quality informationresults in :
• Badly informed decisions and often resulting in unrecoverable damage
• staff performing work over and over again
• unnecessary time to investigate the integrity of the data before it can be used
• reformatting of data before it can be used
• miscommunication within the business
• missing business opportunities
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Need - High Quality Information
Trusted Data Warehouse
WOW !
Create once
Retrieve once
GeorgeJim
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Data Warehouse benefits
• Off-line reports not impacting live systems• Can pull data from many sources to add value• Data structured for fast reporting not
transaction processing i.e. de-normalised• Allows pre-processing of data• Summarised data over multiple time periods• Reliable and trusted information
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The MIS data warehouse
(Live)QL
Students
(Live)QL
Finance
(Operational / Transaction based Databases)
ETLProcessing
MIS Reports
(Off-line)Data
Warehouse
(Pre-processed snap-shot data)
ExternalData
source
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Data Warehousing Success Factors
• The success of a data warehouse is dependent on collecting, managing, and dis-seminating quality management information that supports the strategic and tactical business processes.
• Without quality information, the data warehouse will fail
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What is Quality ?(exercise)
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What is Quality ?
“Consistently meeting customer’s expectations”
Improving the things customers care about and that make their lives easier and more worthwhile
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What is Information ?
Is this Quality Data ? How do I know ?
59CICD504
Because it matches the specified Data Definition of :
D2 +A1 +A3 +D3
59 C ICD 504
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What is Information ?
When does it become Information ?
When it is meaningfully presented
(59CICD504)
• Department code 59 (ISAS)
• Capital or Revenue C (Capital)
• Project Code ICD (WebFocus)
• Expense code 504 (Consultancy)
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Information can be represented as
Information =
(Data + Definition + Presentation)
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Information Quality is :
“The right data, with the right completeness, in the right context, with the right accuracy, in the right format, at the right time, at the right place, for the right purpose”
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Information Quality
• The Right data• Right Completeness• Right Context• Right Accuracy• Right Format• Right Time• Right Place• Right Purpose
• The data I need• All the data I need• Data I understand• Data I can trust• I can use it easily• When I need it• Where I need it• To meet my objectives
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How to deliver the Data warehouse
• Project Sponsor
• Getting the right people with the right knowledge to develop a specification
• Agreeing business definitions (exercise !)
• Agreeing and owning and signing off the specification
• Producing the Technical design
• Development of ETL process and reports
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How to deliver the data warehouse
• Performance of the software
• Pilot the system before live production
• Have ‘champions’ within the user base
• Provide user training
• Provide clear and precise user documentation
• Provide on-going development and support
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FACT
If the data warehouse does not deliver reliable information that supports the customers decisions and strategic processes to their satisfaction, then history will repeat itself
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Quality quotations :
• “People forget how fast you did a job - but they remember how well you did it” - Howard Newton
• “One accurate measurement is worth a 100 expert opinions”-
US Admiral
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Recap / summary
• Roles of the operational databases vs data warehouse within the organisation
• Low quality MIS vs high quality MIS
• Value added by ETL processing
• Quality data vs quality information
• Importance of clarity of definitions
• Steps to implement a data warehouse
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MIS Demonstration