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Business Intelligence Maturity Models - Coggle Diagram
Business Intelligence Maturity Models
The Business Infromation Maturity Model
Success factors
Alignment and governance
Leverage
Delivery
Key areas of evaluation
Srategic position
Partnershipp between business units and IT
BI portfolio management
Information and analysis usage culture
Process of improving business culture
Process of establishing decision culture
Technical readiness of BI/DW
Main characteristics
1st level
Information is using in the unstructured way as before;
Data warehouse benefits - faster and in-time access to information
Main question: WHAT business users want to access
2nd level
Realization of the role of information for business needs
Main question: WHY the information is needed
Additional questions: who, when, where
3rd level
Main question: HOW to improve existing processes with available information
HOW infromation can be used in business processes
Introducing new decision processes => optimizing the use of information
TDWI's BI Maturity Model
Key areas of evaluation
Scope
Sponsorship
Funding
Value
Architecture
Data
Development
Delivery
Main characteristics
Infant
Prenatal phase
As long as data warehouse is created
Standard set of static reports
Reports are built into operational system and limited to that
Lack of agility => business users take actions themselves
Infant phase
Partial data sources - Spreadmarts
Each Spreadmart consists of set of data, metrics and rules that are partially or not correlated between each other
Fragmented data sources cause conflicting views
Uneffective decision-making process
Child
Infromation is collected on the department level and cover only its needs
First interactive tool for reporting, analyzing trends and past data
Regional data warehouses
No possibility for interdepartmental consolidation and analysis
Teenager
Use of best practices, learning on past experience
Use of external consultants
BI management is held by people from different departments
Centralized data warehouse => possibility for enterprise-wide analysis
BI dahsboards are customized for individual user groups and include KPIs
Adult
Strategic business level
KPIs and business performance indicate actual state comparing strategic goals
Common architecture of data warehouse
Flexible and layered, fully loaded with data
Delivery in time and predictive analysis
Sage
Distributed development
Data services
Extended enterprise
Service oriented architecture
Combining data services and BI system into new solutions
Gartner's Maturity Model for BI and Performance Management
Main characteristics
Unaware
Inconsistent, incorrect data
Constant changes
No metrics for performance management
Company doesn't understand the importance of BI and PM
Information management belongs to IT department
Tactical
Starting investments into BI
Department-level metrics
Off-shelf software with few or no modifications
Management doesn't trust the provided infromation
Focused
First success and benefits from BI
BI is focused on a limited part of organization
The goal is to optimize the efficiency of individual departments
Inconsistency in metrics and goals
Data is not integrated
Strategic
Clear business strategy for BI
Including BI and PM into important business processes
Information is available to everyone
BI and PM are extended to suppliers
Financial and strategical goals are corresponding each other
Users are able to process data
Pervasive
BI and PM are pervasive across all areas
Flexibility to adapt to changes
Proactive and dynamic
Business Intelligence Competency Center
Infromation is used everywhere and is truthworthy
Results are measurable and linked to specific goals
BI is available to all suppliers
The Infrastructure Optimization Maturity Model
Main characteristics
Business Productivity Infrastructure Optimization (BPIO)
Unified communication, cooperation, business management
IT Management is highly automated and proactive
Business process simplification
Application Platform Infrastructure Optimization (APIO)
Delivery of higher quality data
All levels of business
BI Maturity Hierarchy
Main characteristics
Data
Collecting, cleaning, standardizing, keeping data consistent
Information
Assigning meaning to data: key success factors, KPIs, dashboards
Knowledge
Root cause and what-if analysis, searching for patterns
Wisdom
In-time and efficient business decisions
BI/PM Maturity Model
Main characteristics
1st level
Reacting - where have we been?
2nd level
Anticipating - where are we now?
3rd level
Collaborating - where are we going?
4th level
Orchestrating - are we all on the same page?