Organizations encounter challenges in obtaining a comprehensive view of user accesses and managing identity data effectively. This blog explores the hurdles a large government organization faces and how they overcame them with the help of identity data analytics.
Challenge
Picture a large government organization confronted with mounting demands for identity data insights on multiple fronts:
- Business units clamoured for improved visibility into access permissions and user entitlements, seeking a clearer understanding of who has access to what.
- Audit and Compliance raised the stakes by requesting additional identity key performance indicators (KPIs), as they recognized the critical role data governance plays in ensuring compliance and mitigating risk.
- The organization's business strategy necessitated automation and efficiency, calling for innovative approaches to streamline operations.
Current State
Unfortunately, generating identity data insights for this organization was a Herculean task. The process involved exporting massive identity datasets and painstakingly maneuvering through Excel work, all while grappling with multiple fragmented identity data repositories. The consequences were dire:
- The organization incurred excessive "cost per insight," resulting in significant security and business gaps.
- Crucial IAM metrics remained hidden and unreported, leaving blind spots in their security posture.
- Joiner Mover Leaver processes posed significant challenges, impacting both security and user productivity.
- To make matters worse, the IAM team's perceived unresponsiveness led to morale issues.
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Decision
Faced with rising costs and an insatiable appetite for insights, the organization resolved to establish a dedicated identity data analytics layer. The turning point came when their leadership realized that different divisions required tailored perspectives on the same data. They recognized the inefficiency of the IAM team repetitively engaging in manual work.
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