The business process teams are responsible
Posted: Tue Feb 11, 2025 5:16 am
Provide the tools and resources that allow the business process teams to analyze the data and to move it into the analytical ecosystem as easily as possible. Implement monitoring processes and applications that identify and expose errors. Encourage your corporate analytics community to freely make comments and corrections without six layers of review. Define malaysia whatsapp number data processes that ensure compliance, but analyze each step to automate and accelerate as much as possible.
Centralize standards. Distribute implementation.
Let’s be super-clear. for implementation. The enterprise analytics team provides the tools and processes and ensures compliance.
This transformation can proceed incrementally. Some business process teams will be easier to engage than others. But executive support will undoubtedly be required. Sometimes it will take something a little more assertive than support.
Eventually, your data warehouse or data lake will be populated with foundational data products. From the outside, it may look very similar or maybe even the same as it always has. But functionally it will be very different. Roles, responsibilities, and expertise are aligned. Processes are streamlined, scalable, and sustainable. The data is understood. Analytical insights are accelerated. And you have taken a huge first step toward modernizing your analytics architecture.
Centralize standards. Distribute implementation.
Let’s be super-clear. for implementation. The enterprise analytics team provides the tools and processes and ensures compliance.
This transformation can proceed incrementally. Some business process teams will be easier to engage than others. But executive support will undoubtedly be required. Sometimes it will take something a little more assertive than support.
Eventually, your data warehouse or data lake will be populated with foundational data products. From the outside, it may look very similar or maybe even the same as it always has. But functionally it will be very different. Roles, responsibilities, and expertise are aligned. Processes are streamlined, scalable, and sustainable. The data is understood. Analytical insights are accelerated. And you have taken a huge first step toward modernizing your analytics architecture.