the datamine guide to DATA STRATEGIES

In the Datamine Data Strategy Guide, we take you through strategic data management,
from tool selection and potential issues to practical getting-started steps.
Data Strategy Cover

Data Strategy implementation is key to organisations unlocking and capitalising on the asset that is their data. This Datamine Guide explains the importance of data management, the issues facing those involved and how to address them. It also describes practical ways companies can begin to put their strategy into action.

HERE'S WHAT'S INSIDE

  1. WHAT IS A DATA STRATEGY?
  2. KEY WORKSTREAMS
    • Problem statements
    • Analytics application
    • Value capture
    • Solution design
    • Analytics workflow
    • Enablement framework
  3. ROLES, RESPONSIBILITIES AND CAPABILITY TRAINING
    • Creating a centre of excellence
    • Business structure and team organisation
    • Building internal capability
  4. PROCESS AND BENEFIT REALISATION FRAMEWORKS 
    • Explore, validate, and build analytics functions
  5. PLATFORMS AND TECH
    • Data integration vs systems integration
    • Audit of data storage and systems
    • Four key data environments
    • Platform design
  6. DEVELOPING DATA PRINCIPLES
    • Writing clear guidelines
    • Defining ownership
    • Ethical considerations
  7. SUMMING UP