Bi and strategic decision making
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BI and Strategic Decision Making
Phillip HigginsProcess Intelligence Ltd
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Business Strategy
• Strategic plans must be available to support strategic BI– BU level– Shared enterprise level
• Coherent set of measures representing departmental objectives
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Strategic Decision Making
• Made by an organisations top leaders• Infrequent• Critically affect an organisations health
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The BI Roadmap: Gartner's BI Maturity Model
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Accountants Role
• SME’s over financial and some operational data
• Let IT handle implementation– Experts in avoiding technical debt• Reusability• Scalability• Integration
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Technical Debt
• Is about choosing solutions which are expedient in the short term
• More costly over time
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New Engagement Models
• Agile approaches eg Scrum, XP
• SME’s working closely with BI staff
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Agile or planned?
• Organisational culture
• Requirements for BI– Tactical report development (perhaps more agile)– EDW implementation (perhaps more plan driven)
• Both forms of BI development will require sitting with users to determine requirements – the second form is likely to be within a more structured framework
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Assessing your Organisation
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Assessing your Requirements for BI
• Risk and complexity are the main determinants of either agile or planned engagement practices
• User adoption is everything• Working closely with users is required for both
agile and plan driven BI
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Note on Planning
• Rigid plans will generally fail for many BI solutions:– Impossible to fully specify solutions as problem
domain too complex– Most solutions involve high degrees of technical
and business complexity so unknowns omnipresent
– For both planned and agile approaches requirement revision should be accounted for
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Collaborate and Review
• Engage throughout the entire delivery cycle• Review work frequently to ensure correctness• Insist on testing as new work becomes
available soon as possible
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The Two Big Gaps• The BI Delivery Gap– Delivery cant keep up with changing requirements
• The Insight Gap– The business does not possess the required
process or expertise in order to make sense of the data they are collecting
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What's are we in for in 2012
• Mobile computing– Ubiquitous – Huge growth• by 2013 33% of BI features will be consumed via
handhelds (Gartner)
• Cloud will gain acceptance• Big Data gone mainstream• Visualisations and Mashups mainstream
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Conclusions
• Reaching a BI sweet spot– Advanced technology mainstream– Greater business relevance