Data Quality

Part III- Four Strategies to Assess Data Quality for Identity Management

Identity Management (IDM) systems rely on accurate user data in order to manage user access, enforce policies, and support network security. Historically, organizations have not had a good grasp on the required data profile of their user populations, including employees, contractors, partners, and vendors. In fact, many organizations know very little about their contractor populations […]

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Part II – The 5 Dimensions of Data Quality

Data quality is a term that refers to the reliability and validity of user-level data collected in the Authoritative Systems that feed your Identity and Access Management system (IAM). Quality is measured by how accurately the user data in the system reflects actual information available in the real world. In Part I of this series, we

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Part I – Data Quality is the lifeblood of Identity Management (IAM)

At most large enterprises, the IT environment has evolved over decades into an “accidental architecture” with everything from mainframes, PCs, and LANs to the Internet, cloud, and mobile devices, all connected by a poorly tied together patchwork that limits speed, flexibility, and innovation. IAM offers a new model for managing users and devices within the

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