Data Quality

3 Must-Take Steps to Getting User Data Right

Maintaining data quality is the single most important principle of a functioning Identity Management solution. In fact, realizing the benefits of automated user provisioning and access management processes depends on it. Unfortunately, there is a huge performance penalty for getting the data wrong that users will not accept – putting your IAM program at risk …

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Roles Definition- Part I

Defining Roles: The Top-Down Process in Practice

Our path to well-defined roles begins with the system owner who evaluates the applications and which users should have access. When he determines that a group does not belong, for example, the accounting folks should not be on a particular application or system, he removes them…All of them. This first pass eliminates users who should …

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Part IV –Good Data Quality drives better Identity Management

Most organizations spend many months defining requirements and determining which Identity Management (IDM) solution will help them improve their business, while few pay attention to the data that are critical to running their IDM systems. If your organization is going to invest large sums of money and time building an IDM solution, why is data …

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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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