bi maturity - home - northern california oaug...presenter: faun dehenry president & ceo, fmtsi...
TRANSCRIPT
Welcome Introductions BI maturity definition Trends Different views of BI maturity BI maturity assessment Summary Q&A
Agenda
18-Aug-12 ©2001-12, FMT Systems of Texas, Inc. All rights reserved 2
Presenter: Faun deHenry President & CEO, FMTSI since 2001 Involved with BI initiatives since 1995 Variety of technical environments (OADW to EDW
to OBIEE, Cognos, BOBJ, Netezza, Teradata, SAP BW)
Diverse organizations (retail/wholesale, biotech, manufacturing, consumer services)
You?
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Introductions
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When planning for a year, plant corn. When planning for a decade, plant a tree. When planning for life, train and educate (yourself). Guanzi 管子, 720-645 BCE
It ain’t what you don’t know that gets you in trouble; it’s what you know for sure that ain’t so! Mark Twain
In God we trust; all others bring data.W. Edwards Deming
Characteristics of Business Intelligence MaturityImmature organizationMature organization
Role of analysis in fact-based decision makingUser Types and PerspectivesData Display and ValueUser tools
How Mature is Your Organization?
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Immature organizationFocus: Improve business
effectiveness
Involves: Some departments
Usage: < 10% of business users
Managed and funded: IT or business unit
Data sources: 2 to 4
Tools: 2 or 3 types
Data quality: Limited to basic recognition of
importance
Characteristics of BI Maturity
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Challenges: Politics Funding Data access Timeliness Ability to evolve and scale
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Immature Organization
Mature organizationFocus: Enterprise execution/
effectiveness for customers
Involves: Enterprise data warehouse/ big data ecosystem
Usage: > 90% of business users
Managed and funded: Business executive level
Data sources: All
Tools: Numerous (based upon user categories)
Data quality: Key process component
Characteristics of BI Maturity
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Challenges: Cultural Complexity, integration Sponsorship and priority Politics Mission critical
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Mature Organization
Role of Analysis
Gartner
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Recognition-Primed Decision (RPD) model Adaptive decision making MBE Staggering Exploration Hedging
Newtonian decision making Pareto Principle Rational analysis
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Decision making
Executive Perspective: "What should we do?"
Power User Perspective: “Is this a trend?” Middle Management Perspective: "What
is happening?" Operational Perspective: "What
happened?"
User Types and Perspectives
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Data Display and Value
Gartner
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User Tools
Gartner
Whathappened?
What’shappening? Is it a
trend?
Whatshouldwe do?
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User Types and BI Functionality
Occasional Information Consumers
Partners & Customers
TacticalUsers IT
Functional Managers
Power Users Executives
100’s 1,000’s 100-200 Few 30-100 20-25 10-20
Reports Reports ReportsPredefinedad hoc queries
Reports ReportsBAMPredefinedad hoc queries
Ad hoc queriesReportsData miningAdvancedanalysisForecasting
DashboardsBSC reportsCorporate performance
Low Low Low to Medium Medium Medium to
High High High
User Types
IntranetExtranet
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Business Intelligence Trends20112012 and going forward
How Mature is Your Organization?
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BI maturity levels were still below average (2.75 on a scale of 5) ~ Forrester Research
BI tools adoption by business users has remained static since 2008 ~ Gartner
Data discovery accelerated self-service BI and analytics ~ IDC
Big data generated by social media drove innovation in customer analytics
Text analytics enabled organizations to interpret social media sentiment, trends, and commentary
Organizations starting to use information analysis to become predictive and proactive
BI Trends — 2011
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“Multiple BI tool” strategy is here to stay for the foreseeable future.
Mobility is no longer a “nice to have.” Tablets and iPads will dominate new mobile
BI implementations. Expansion of existing data types and sources,
and creation of new ones — Big Data. Shortage of analytics talent.
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BI Trends — 2012 and Beyond
Different Views of BI maturityGartner & TDWI (2003)SASGartner & TDWI (2005)Eckerson Model
How Mature is Your Organization?
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Gartner 2003
BusinessSkills
AnalyticSkills
ITSkills
Business needsOrganizationalunderstandingand processes
Tools and ApplicationsTools, apps, data
management
Statistical andprocess skillsBusiness needs
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BI Maturity Model — TDWI (2003) Opportunistic Tactical Strategic
Business Focused: Increase operational efficiency
Scope: Department
Operational: Improve business effectiveness
Scope: Multi-department
Strategic: Integrated business execution and management
Organization
Single user type – Limited skills required
Managed and funded by IT
2 or 3 user types - Higher skills level
BICC
Managed and funded by IT or business unit
All user types
BICC
Funded at executive level
Infrastructure Functionality
1 or 2 sources
Reporting-centric
Limited data quality
2 or more sources
2 or 3 tool types
Data quality is important
Data mart, data warehouse, OLAP
Multiple sources
Multiple data warehouses
Standards
Multiple tool types
Scalability
Accuracy and quality
Consistency
Inflexibility
Expectations
Skills
Politics, funding
Data access
Timeliness
Ability to evolve
Cultural
Complexity, integration
Sponsorship and priority
Politics
Mission critical
FailureModes
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SASB
usi
nes
sV
alu
e
Intelligence
DataAccess
DataManagement
Reporting/OLAP
PredictiveModelling
Forecasting
Optimization
What happened?
How many and how often?
What will happen next?
What is the best thatcan happen?
How much and where?
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Gartner BICC Framework 2005
ITSkills
Tools and ApplicationsTools, apps, data
managementAnalytic
Skills
Statistical andprocess skillsBusiness needs
BusinessSkills
Business needsOrganizationalunderstandingand processes
DefineBI vision
ControlFunding Establish
Standards
BuildTechnologyBlueprintOrganize
MethodologyLeadership
DevelopUsers’Skills
ManagePrograms
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BI Maturity Model — TDWI (2005)Stage/ Focus
Prenatal Infant Child Teens Adult Sage
Architecture and Scope
Management Reporting/ System
Spreadsheets/ Individual
Data Marts/ Department
Data Warehouse/ Division
Enterprise Data Warehouse/ Enterprise
Analytical Services/ Inter-enterprise
Type of System and Analytics
Financial/ Paper Reports
Executive/ Briefing Book
Analytical/ Interactive Report
Monitoring/ Dashboard
Strategic/ Cascading Scorecards
Business Service/ Embedded BI
User and BI Focus
All/ What happened?
Analyst/ What will happen?
Knowledge Worker/ Why did it happen?
Manager/ What is happening?
Executive/ What should we do?
Customer/ What can we offer?
Executive Perception about the role of BI
Cost Center Inform Executives
Empower Workers
Monitor Processes
Drive the Business
Drive the Market
Business Value and ROI
Costs high/Value low
Costs and value approaching breakeven
Costs decreasing/ Value increasing
Costs continue to decrease/ Value continues to increase
The Cost/ Value gap widens
Achieve ROI
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Eckerson Model
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BI maturity assessmentAssess framework/methodology appropriatenessDetermine level of analytics understandingIdentify gaps
Technical, analytical, and business skillsBusiness processTechnical architecture and tools
Identify potential/lingering data quality challenges
How Mature is Your Organization?
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Gartner BICC SAS Progression TDWI Maturity Model Eckerson Model
Framework/Methodology
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Who typically understands analytics? Lack of skills
Analytics Understanding?
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Culture — embedded analytics; how decisions are made
Skills — technical, analytical, and business
Business processes Technical architecture and tools
Gap Analysis
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IT Business manager BI team
Data Quality Challenges
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Select a culturally appropriate framework (model) and stick with it!
BI analysis cycle ends with the decision, not with report submission.
Fact-based decision making isn’t always applicable.
BI maturity is about better processes and suitable tools for better decision making!
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Summary
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Q & A
BI Maturity
How Mature Is Your Organization?
Presented by Faun deHenryPresident & [email protected]
Thank you!