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![These practices lead to exponential value from Product,
Business, or Security Data Strategies.
1. Clear Goals, Customer Value, & Strong Organizational
Support: Collaborate effectively with stakeholders to
define outcome-based goals that create value for
customers and garner organizational support [top
down/bottom up].
2. Purpose Driven Curation: Be frugal and intentional about
what data is in scope. Less pollution = higher integrity,
reliability, and performance.
3. Easy & Varied Business Self-Service: Business analysis
capabilities and needs vary wildly business wide. Open at
least three doors for persons to gain value from data. The
three doors typically must accommodate
businesspersons, technologists, and googlers.
4. Easy & Varied Technology Self-Service: Ensure incredibly
easy, reliable, & performant for products and applicable
subsystems to access data. Create well understood APIs
with crystal clear requirements.
5. Pragmatic Data Governance: Base your data governance
on your individual business and regulatory requirements
[no more/no less]. Selectively choose your approach and
iterate quarterly.
6. Cloud Native Capabilities: Data is pervasive, and
appetites will grow ravenous. Build on cloud, exclude all
technologies that are not cloud native.
1. Clear Goals,
Customer Value, &
Strong Organizational
Support
2. Purpose Driven
Curation
3. Easy & Varied Business
Self-Service
(Businesspersons, Technologists, +)
4. Easy & Varied
Technology Self-Service
(Hardware, Software, Cloud, +)
5. Pragmatic Data
Governance
Exponential
Data Value
6. Cloud Native Infrastructure, Data
Science, and Analytics Capabilities](https://image.slidesharecdn.com/dataflywheel-210501094512/85/Data-Strategy-Flywheel-1-320.jpg)

The document outlines key practices for maximizing value from data strategies, emphasizing the importance of clear goals, stakeholder collaboration, and intentional data curation. It advocates for varied self-service access for both business and technology users, alongside pragmatic governance tailored to business needs. Additionally, it highlights the necessity of cloud-native capabilities to support the growing demand for data.
![These practices lead to exponential value from Product,
Business, or Security Data Strategies.
1. Clear Goals, Customer Value, & Strong Organizational
Support: Collaborate effectively with stakeholders to
define outcome-based goals that create value for
customers and garner organizational support [top
down/bottom up].
2. Purpose Driven Curation: Be frugal and intentional about
what data is in scope. Less pollution = higher integrity,
reliability, and performance.
3. Easy & Varied Business Self-Service: Business analysis
capabilities and needs vary wildly business wide. Open at
least three doors for persons to gain value from data. The
three doors typically must accommodate
businesspersons, technologists, and googlers.
4. Easy & Varied Technology Self-Service: Ensure incredibly
easy, reliable, & performant for products and applicable
subsystems to access data. Create well understood APIs
with crystal clear requirements.
5. Pragmatic Data Governance: Base your data governance
on your individual business and regulatory requirements
[no more/no less]. Selectively choose your approach and
iterate quarterly.
6. Cloud Native Capabilities: Data is pervasive, and
appetites will grow ravenous. Build on cloud, exclude all
technologies that are not cloud native.
1. Clear Goals,
Customer Value, &
Strong Organizational
Support
2. Purpose Driven
Curation
3. Easy & Varied Business
Self-Service
(Businesspersons, Technologists, +)
4. Easy & Varied
Technology Self-Service
(Hardware, Software, Cloud, +)
5. Pragmatic Data
Governance
Exponential
Data Value
6. Cloud Native Infrastructure, Data
Science, and Analytics Capabilities](https://image.slidesharecdn.com/dataflywheel-210501094512/85/Data-Strategy-Flywheel-1-320.jpg)