This framework helps organizations align Data Strategy with Business Strategy to prioritize goals around the most pressing operational needs. It introduces Data Management & Data Ability Maturity Matrix to visualize the core path of business digital transformation, which is easy to understand and follow. And it provides the standard template for implementation, which can share the flexibility to engage applications of different industries.

1. 3D Data Strategy
Daniel Ren
University of Canterbury
September, 2019

2. Why A Data
Strategy?
Prevention of Digital Hoarding
To collect and store data with little thought about
how that data might be used, or how it might
help our business be more effective. Too much
data can lead to wasted productivity. Because it is
redundant, obsolete, and trivial; and even it
entails legal risk.

3. Why A Data
Strategy?
Inability To Manage Data
Overlooking to valuable internal data sources
Overinvestment in unproven external data sources
Overreliance on big data technologies to attain value

4. Why A Data
Strategy?
A data strategy is a plan designed to improve all
of the ways you acquire, store, manage, share
and use data. Its core is to Transfer A Data
Ability to A Business Capability

5. Implementing
a Data
Strategy
3 Dimension(3D) Data strategy
• Drive Data Strategy with Business Strategy
• Initialize Data Strategy with Data Management
Maturity
• Accelerate Data Strategy with Data Ability
Maturity

6. Implementing
a Data
Strategy
Drive Data Strategy with Business Strategy
To align the data strategy with business strategy is
to prioritize its goals around the most pressing
operational needs of the organization.

7. Implementing
a Data
Strategy
Initialize Data Strategy with Data Management
Maturity
The Maturity of Data Management Infrastructure
(data governance, master data management, data
integration, data quality, etc.) is the key to use
data effectively and efficiently. It is the first
composition of Data Strategy.

8. Ron Huizenga, "Why Your Data Management Strategy Isn’t Working (and How to Fix It)"

9. Implementing
a Data
Strategy
Accelerate Data Strategy with Data Ability
Maturity
The Maturity of Data Ability (Data Scope, Data
Analysis, Data Implementation, Interaction
between Human & Data, etc) is the key to engage
the most pressing operational needs and drive
core business capabilities. It is the second
composition of Data Strategy.

11. Example:
“Organization A”
Data Strategy
“Organization A” Business Strategy
Vision and Mission
• Engaged, Empowered, Making a Difference
Cores
• Accessible, Flexible, Future Focussed
• Impact in a Changing World
• Balanced, Sustainable, Effective
Tasks
• Engaging with our community for Good
• A Globally Networked Organization
• Accessible, Flexible, Future Focused Business
• Business with Impact in a Changing World
• Developing a Sustainable World
• Nurturing Staff, Thriving Teams
• An Economically Sustainable and Effective Enterprise

12. Example:“Organization A” Data Strategy
Aligning with Business Strategy, we can confirm the target position in
the Data Management Maturity Matrix. By evaluating current status
with target, we can find the difference and draw the evolution plan.
Evolution Plan
Target
Current

13. Example:“Organization A” Data Strategy
Current Evolution Plan

14. Example:“Organization A” Data Strategy
Evolution Plan
Stage 1:
• Data Asset Inventory Establishment
• Data Architect in Enterprise Architects Team
• Data Integration Technology Implementation
Evolving

15. Example:“Organization A” Data Strategy
Evolution Plan
Stage 1:
• Data Asset Inventory Establishment
• Data Architect in Enterprise Architects Team
• Data Integration Technology Implementation.
Stage 2:
• Data Governance System Establishment
• Data Governance Council & CDO Establishment
• Data Stewards Establishment
• Data Integration Platform Establishment
Evolving

16. Example:“Organization A” Data Strategy
Evolution Plan
Stage 1:
• Data Asset Inventory Establishment
• Data Architect in Enterprise Architects Team
• Data Integration Technology Implementation.
Stage 2:
• Data Governance System Establishment
• Data Governance Council & CDO Establishment
• Data Stewards Establishment
• Data Integration Platform Establishment
Stage 3:
• Business-driven Data Governance
• Data-driven organization Establishment
Target

17. Example:“Organization A” Data Strategy
Aligning with Business Strategy, we can enlist our data ability needs and
evaluate our current position in the Data Ability Maturity Matrix. Then,
we can draw the evolution map.
Evolution Plan
Target
Current

18. Example:“Organization A” Data Strategy
Current Evolution Plan

19. Example:“Organization A” Data Strategy
Current Evolution Plan
Stage 1:
• Data Lake Technology Implementation
• Enterprise Data Analysis Team Establishment
• Modern Analysis tools Implementation
• Machine Learning Platform Establishment

20. Example:“Organization A” Data Strategy
Evolving Evolution Plan
Stage 1:
• Data Lake Technology Implementation
• Enterprise Data Analysis Team Establishment
• Modern Analysis tools Implementation
• Machine Learning Platform Establishment
Stage 2:
• Central Data Analysis Platform Establishment
• Data Analysis Council Establishment
• Data Scientists Team Establishment

21. Example:“Organization A” Data Strategy
Target Evolution Plan
Stage 1:
• Data Lake Technology Implementation
• Enterprise Data Analysis Team Establishment
• Modern Analysis tools Implementation
• Machine Learning Platform Establishment
Stage 2:
• Central Data Analysis Platform Establishment
• Data Analysis Council Implementation
• Data Scientists Team Establishment
Stage 3:
Data-driven Business Capability Establishment

22. Example:
“Organization A”
Data Strategy
Stage 1:
Drive Data Management & Ability Maturity to be
standardized with Business Strategy
Stage 2:
Enforce Data Management & Ability Maturity
from Defensive to Aggressive, and empower new
business capability.
Stage 3:
Establish Data-driven Organization

23. 3 Dimension
Data Strategy
Business
Strategy
Data
Management
Maturity
Data
Ability
Maturity

24. 3 Dimension
Data Strategy
A business-driven Data Strategy Framework
• Clear priorities definition set up the core path of
digital transformation.
• Visualized processing is easy to understand and
follow.
• Practical evaluation tools, the Data Management
& Data Ability Maturity Matrix, can help detect
any variation and gaps, and make QA achievable.
• Standard template for implementation may
share the flexibility with the implementation in
different industries.

25. Source
"Why Your Data Management Strategy Isn’t Working
(and How to Fix It)“, Ron Huizenga, IDERA, 2019
“Modern Data Strategy”, Mike Fleckenstein, Lorraine
Fellows, Springer, 2018
“What’s Your Data Strategy?”, Leandro DalleMule,
Thomas H. Davenport, Harvard business Review,
2017