Analytics Asset Management provides a clear picture of all your analytics assets, regardless of BI platform, to uncover insights necessary for business success. Understanding your analytics assets' usage and lifecycle stage is essential for maximizing business potential. Organizations can identify how heavily or underused dashboards and reports are by evaluating how frequently each is accessed, guiding decisions about retention or removal. The value of analytic assets fluctuates over time, making it difficult to assess their strategic or critical importance. Realizing their value ensures companies capitalize on insights that benefit stakeholders, prevent unnecessary asset elimination, and enables better-informed decisions. Not all reports fail similarly, and complexity often drives the difference. BI operations need to handle these high-risk, complex reports with extra care, significantly during IT changes, to better anticipate and manage potential risks.

• Analyze Usage, Maximize Value Understanding your analytics assets usage and lifecycle stage is essential for maximizing business potential. Organizations can identify how heavily or underused dashboards and reports are by evaluating how frequently each is accessed and guiding decisions about retention or removal.
• The Ever-Changing Value of Assets The value of analytic assets fluctuates over time, making it difficult to assess their strategic or critical importance. Realizing their value ensures companies capitalize on insights that benefit stakeholders, prevent unnecessary asset elimination and enables better-informed decisions.
• Navigating Reporting Challenges Not all reports fail similarly, and complexity often drives the difference. Marketing reports, being simpler, have fewer risks compared to complex financial reports, where failures can have serious consequences. For instance, a marketing report might fail during a meeting, which is inconvenient but manageable. In contrast, a financial report with intricate calculations could cause significant issues if it fails. BI operations need to handle these high-risk, complex reports with extra care, significantly during IT changes, to better anticipate and manage potential risks.