Developing your data strategy (Data Strategy Development process (KEY…
Developing your data strategy
What is data strategy?
A set of integrated choices that help position an initiative for analytic success
Data strategy Key Topics
What data should we keep or toss?
How should we structure data?
How do we store data?
Witch approach for integration and cleaning?
How do we protect and share data?
Data Strategy Statement
Alignment to Business Strategy
MISSION - Why we exist
VALUES - What we believe in and how we will behave
VISION - What we want to be
STRATEGY - What is our game plan
Objective that will drive the organization for the next five years
Enough clarity that there is no room for misinterpretation
EXECUTION & MEASUREMENT PLAN - How we will implement and monitor
Data Strategy involves aligning the aspirations of your analytics organization with the overall organization’s strategy.
Data Strategy Development process
Design Thinking Methodology
Users are beneficiaries of a well-executed data strategy
SCOPE AND PURPOSE
What data will we purposefully manage? What data is out of scope?
What data do you need to run your organization?
What data is needed to grow your business or
meet your strategic objectives?
What are you trying to achieve?
How do we measure success for our data strategy?
How much is your data worth?
DATA COLLECTION, STANDARDISATION AND CLEANSING
What data archiving and summarization requirements are there?
DATA ARCHITECTURE, VIRTUALIZATION AND INTEGRATION
DATA INSIGHT AND ANALYSIS
DATA GOVERNANCE AND DATA QUALITY
ACCESS, DISTRIBUTION, PRIVACY AND SECURITY
PERFORMANCE/ SERVICE LEVEL AGREEMENTS
DATA STRATEGY ROADMAP
Develop the strategy
Create the Roadmap
Align the organisation
Execute the plan
Monitor and learn
Test and adapt