Post on 19-Dec-2014
description
BI and Strategic Decision Making
Phillip HigginsProcess Intelligence Ltd
Business Strategy
• Strategic plans must be available to support strategic BI– BU level– Shared enterprise level
• Coherent set of measures representing departmental objectives
Strategic Decision Making
• Made by an organisations top leaders• Infrequent• Critically affect an organisations health
The BI Roadmap: Gartner's BI Maturity Model
Accountants Role
• SME’s over financial and some operational data
• Let IT handle implementation– Experts in avoiding technical debt• Reusability• Scalability• Integration
Technical Debt
• Is about choosing solutions which are expedient in the short term
• More costly over time
New Engagement Models
• Agile approaches eg Scrum, XP
• SME’s working closely with BI staff
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
Assessing your Organisation
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
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
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
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
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
Conclusions
• Reaching a BI sweet spot– Advanced technology mainstream– Greater business relevance
Questions?
philliphiggins@gmail.com