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3D Data Strategy Framework
The document outlines the importance of a comprehensive data strategy to prevent digital hoarding and improve organizational efficiency by effectively managing data. It presents a 3D data strategy framework that aligns data management and ability maturity with business objectives, emphasizing the evolution of data practices through established stages. Additionally, it highlights practical tools for evaluation, ensuring organizations can adapt their data strategies to foster a data-driven culture.
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3D Data Strategy Framework
- 1. 3D Data Strategy DanielRen University of Canterbury September, 2019
- 2. Why A Data Strategy? Preventionof 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? InabilityTo 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? Adata 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 DataStrategy 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 DataStrategy 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, "WhyYour Data Management Strategy Isn’t Working (and How to Fix It)"
- 9. Implementing a Data Strategy Accelerate DataStrategy 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 “OrganizationA” 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” DataStrategy 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” DataStrategy Current Evolution Plan
- 14. Example:“Organization A” DataStrategy Evolution Plan Stage 1: • Data Asset Inventory Establishment • Data Architect in Enterprise Architects Team • Data Integration Technology Implementation Evolving
- 15. Example:“Organization A” DataStrategy 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” DataStrategy 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” DataStrategy 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” DataStrategy Current Evolution Plan
- 19. Example:“Organization A” DataStrategy 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” DataStrategy 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” DataStrategy 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 Stage1: 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.
- 24. 3 Dimension Data Strategy Abusiness-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 DataManagement 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