Guides to Data Strategy

A Data Strategy is an organization’s plan for how they intend to treat data as the asset it is. It defines everything from usage (what data we want to use for what purpose) to management (how data enters and moves through the data ecosystem) to oversight (the discipline in how we use and manage the data). While most agree that a Data Strategy is a great idea, most organizations lack one, which means they continue to struggle with things like data access, definitions, access, and trust.

Tier 1: Data Usage Portfolio

This Guide is ideal for clients who need a starting point for their Data Strategy, are unsure what business questions or metrics are most important, or making decisions about what capabilities to migrate to a cloud solution.

Provides guidance by:

Understanding current/future reporting and analytic needs
Consolidating use cases and aligning to data subject areas
Prioritizing use cases

Delivers guidance with:

Data usage portfolio aligned to data subject areas
Use case summary overview
Prioritized data usage portfolio

Tier 2: Data Strategy Assessment and Roadmap

This Guide is ideal for clients who want to define data needs and create a plan for improving Data Management practices and methodologies.

Provides guidance by:

Understanding current/future reporting and analytic needs
Consolidating use cases and aligning to data subject areas
Prioritizing use cases
Assessing Data Management practices and capabilities
Developing an overall program strategy

Delivers guidance with:

Data usage portfolio aligned to data subject areas
Use case summary overview
Prioritized data usage portfolio
Detailed Data Management scorecard
Gap closure recommendations
Program strategy
Program roadmap

Tier 3: Data Strategy Masterplan

This Guide is ideal for clients who want to define data needs and create a plan for improving Data Management practices and methodologies as well as key artifacts for operationalizing a Data Governance program.

Provides guidance by:

Understanding current/future reporting and analytic needs
Consolidating use cases and aligning to data subject areas
Prioritizing use cases
Assessing Data Management practices and capabilities
Developing an overall program strategy
Creating Data Governance operating framework

Delivers guidance with:

Detailed program scorecard
Gap closure recommendations
Key Data Governance program collateral including a program charter, detailed roles and responsibilities, communication, metrics, and training/onboarding material
Program strategy
Program roadmap