The document discusses the concept of a "Data Sharing Sphere" which would govern and share high value enterprise data across organizational boundaries to support business excellence and sustainability. The Data Sharing Sphere would deliver a governed framework for collaborative data sharing, accelerating business transformation by making useful data available for value creation. It would connect workers across an organization to trusted data sources through principles of data accountability, responsibility and prioritization of high impact data issues.
High value records means records which have a significant impact on the business.
No business can run today without high quality data.
Lets put some structure on the type of questions the business need to start asking about how data is managed.
What business processes are most important to my organization?
What data is used to support these processes?
What are the business rules that govern the data?
What business impact does poor quality data have on our business?
How can we prioritize fixing the data that has the highest impact?
Who is accountable for the business rules?
How do I maximize the business value of enterprise data?
Lets agree that these are very valid questions which if answered, would demonstrate that data is being view as an enterprise asset.
Transition: Can we answer these questions?
Note:
This landscape is the vision of the Data Excellence Infrastructure.
Not all its components must be implemented at the same time.
It is important to have the final state vision bearing in mind that its implementation should be introduced incrementally to support the execution and implementation strategy of the Framework. The introduction of each component should be aligned with its business equivalent project in the overall roadmap of the Data Excellence Program.
The technology is an important support to your DE program but you should not be aiming to implement the vision in one go because not all the organization has the holistic view you have of the roadmap and vision and you may have difficulty to justify the investment.
No business can run today without high quality data.
Lets put some structure on the type of questions the business need to start asking about how data is managed.
What business transactions are most important to my organization?
What are the business excellence requirements to lead to successful transactions?
Who is accountable for the business excellence requirements and the transactions?
What data is used to support these business excellence requirements and transactions?
What business impact does poor data have on our business transactions?
How can we prioritize fixing the data that has the highest impact?
Who is responsible for this data?
How do I maximize the business value of enterprise data?
Lets agree that these are very valid questions which if answered, would demonstrate that data is being view as an enterprise asset.
Transition: Can we answer these questions?
Note:
This landscape is the vision of the Data Excellence Infrastructure.
Not all its components must be implemented at the same time.
It is important to have the final state vision bearing in mind that its implementation should be introduced incrementally to support the execution and implementation strategy of the Framework. The introduction of each component should be aligned with its business equivalent project in the overall roadmap of the Data Excellence Program.
The technology is an important support to your DE program but you should not be aiming to implement the vision in one go because not all the organization has the holistic view you have of the roadmap and vision and you may have difficulty to justify the investment.
