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Report Rationalization is an efficiency-driven process focused on optimizing the management of reports and underlying data models.
It is conceptually similar to Operational Excellence, but specifically applied to the Business Intelligence (BI) environment.
This process involves:
Evaluating report usage to identify redundant, outdated, or underutilized reports.
Analyzing report content and data models to detect duplications and inefficiencies.
Consolidating similar reports and datasets to reduce technical debt and improve maintainability.
Streamlining report structures to align better with current business needs and enhance user experience.
Report rationalization typically begins with analyzing actual usage patterns through access logs, user feedback, and system monitoring tools. Each report is assessed to determine its relevance, value, and alignment with business objectives. Redundant or overlapping reports are identified, and opportunities for consolidation or redesign are explored. Business stakeholders are engaged throughout the process to ensure that critical reporting needs are preserved and improved where possible.
This step is essential before any BI migration or modernization initiative.
A well-executed rationalization effort prevents the transfer of inefficiencies into new systems, significantly reduces migration and maintenance costs, and often uncovers opportunities to improve business processes alongside technical upgrades.
If this post helps, then please consider Accepting it as the solution to help the other members find it more quickly
Hi @powerbiexpert22 ,
May I ask if you have gotten this issue resolved?
If it is solved, please mark the helpful reply or share your solution and accept it as solution, it will be helpful for other members of the community who have similar problems as yours to solve it faster.
Regards,
Chaithra.
Hi @powerbiexpert22 ,
As we haven’t heard back from you, we wanted to kindly follow up to check if the solution provided for the issue worked? or Let us know if you need any further assistance?
If our response addressed, please mark it as Accept as solution and click Yes if you found it helpful.
Regards,
Chaithra.
Report Rationalization is an efficiency-driven process focused on optimizing the management of reports and underlying data models.
It is conceptually similar to Operational Excellence, but specifically applied to the Business Intelligence (BI) environment.
This process involves:
Evaluating report usage to identify redundant, outdated, or underutilized reports.
Analyzing report content and data models to detect duplications and inefficiencies.
Consolidating similar reports and datasets to reduce technical debt and improve maintainability.
Streamlining report structures to align better with current business needs and enhance user experience.
Report rationalization typically begins with analyzing actual usage patterns through access logs, user feedback, and system monitoring tools. Each report is assessed to determine its relevance, value, and alignment with business objectives. Redundant or overlapping reports are identified, and opportunities for consolidation or redesign are explored. Business stakeholders are engaged throughout the process to ensure that critical reporting needs are preserved and improved where possible.
This step is essential before any BI migration or modernization initiative.
A well-executed rationalization effort prevents the transfer of inefficiencies into new systems, significantly reduces migration and maintenance costs, and often uncovers opportunities to improve business processes alongside technical upgrades.
If this post helps, then please consider Accepting it as the solution to help the other members find it more quickly
Hi @powerbiexpert22 ,
Report rationalization involves assessing and optimizing a broad set of reports to eliminate duplication, enhance clarity, and focus on delivering only the most meaningful and actionable insights.
Put simply, it’s about decluttering the reporting landscape to ensure it's streamlined, relevant, and aligned with business priorities.
It identifies any duplicate or similar reports, removes reports that are too old, combines reports that cover same information into one and also prioritize reports that align with business goals.
Regards,
Chaithra E.
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