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The BI Lifecycle


The Business Intelligence Lifecycle follows parallel to the Data Maturity Lifecycle to provide a comprehensive maturation model on information intelligence.

This model provides a roadmap to use as a guidelines in the planning of a business intelligence program. A BI Program is a long term strategy, not a short term, one time project. As the business continues to change, and technology supporting analytics continues to improve, this lifecyle can reiterate into a complete new for of performance management.

 

Transforming Information Into Intelligence

By understanding how data becomes information, and how information can then be transformed into intelligence, presented in a manner to support real time decision making, helps to understand the evolution of a BI Program.

It also helps you understand how advanced your organization is in leveraging information.

There are four main phases in Data and BI Lifecycle

  1. Collection - Infancy
  2. Reporting - Adolescence
  3. Analytics - Adulthood
  4. Visualization - Maturity

 

Collection [Infancy]

Data creating and collection from:

  • CRM - Customer Relationship Management
  • Custom Application Development
  • Other Enterprise Applications - ERP, HR

Stage 1 Data Requirements

  • Transactional Databases [OLTP]
  • Unstructured Data Files

 

Reporting [Adolescence]

Data Reporting And Export

  • Parameter driven reporting
  • Report distribution via Email and Web
  • Basic data derivatization and summation

Stage 2 Data Requirements

  • Transactional Databases
  • Data Replication
  • Data Libraries and Models

 

Analytics [Adulthood]

Data Analysis

  • Ad Hoc Query and data analysis by end users
  • Dimensional data analysis [OLAP]
  • Data Transformation, Integration and Lineage

Stage 3 Data Requirements

  • Dimensional Data Design
  • Basic data warehouse, data mart of ODS
  • Semantic Layer or Cubes

 

Visualization [Maturity]

Data Visualization

  • Metric Dashboards & Alerting
  • Scorecards [Strategies and Goals]
  • Advanced Analysis & Data Mininig

Stage 4 Data Requirements

  • Advanced Semantics
  • Advanced Data Warehouse Design
  • Metric Repository

NEXT: Developing A BI Strategy Document

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