Upcoming Webinars
DATE: May 19, 2022 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar Roles and responsibilities are a critical component of every Data Governance program. Building a set of roles that are practical and that will not interfere…
DATE: May 26, 2022 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar Data Literacy is an increasing concern, as organizations look to become more data-driven. As the rise of the citizen data scientist and self-service data analytics becomes increasingly common, the need for business users…
DATE: May 31, 2022 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar Traditional data governance initiatives fail by focusing too heavily on policies, compliance, and enforcement, which quickly lose business interest and support. This leaves data management…
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Latest Blogs by Industry Experts

Read more about author Kumaravel Ramakrishnan. Due to the pandemic, the last two years have drastically changed IT operations, especially corporate IT service management, delivery, and support capabilities. In order to gauge exactly how these operations have changed, in late 2021, a global IT service management survey, The State of ITSM: Two Years into the Pandemic, was taken by 437 IT professionals, the majority of whom were from the U.S., India, Australia,…

Read more about author Nahla Davies. As more and more companies start to use data-related applications to manage their huge assets of data, the concepts of data modeling and analytics are becoming increasingly important. While they typically rely on one each, they are two very distinct concepts. Companies use data analysis to clean, transform, and model their sets of data, whereas they use data modeling to map out and visualize the…

Read more about author Steve Zagoudis. The hallmark of any successful Data Governance implementation is awareness. In the context of a large system integration project, we are talking about awareness of: 1) Data Quality expectations and metrics, 2) Enterprise Data Management plan, 3) Data Governance best practices, 4) data risk factors, 5) Data Governance framework, 6) data owners/data consumers, 7) Data Architecture principles, 8) data loss/confidential data requirements, 9) data inventory definition and…

Read more about author Michael Jack. In today’s digital world, stockpiling data has become an unrelenting requirement across virtually every industry. While there are numerous reasons to do so, a primary driver is the invaluable insights it offers to business leaders, helping them to make smarter, faster data-driven decisions. Today, the majority of this stockpiled data is unstructured. In fact, unstructured data accounts for up to 90% of today’s enterprise…
Recent Articles

Integrating a Data Governance program into an organization not only means adding some software, but more dramatically, it means changing the workplace culture. Data Governance broadly describes the policies and…

The term “digital transformation” (DT) encompasses the holistic framework and the associated strategy designed for integrating technology, business processes, and employee effort to get the maximum value for business customers.…

How can an organization thrive in the 2020s, a changing and confusing time with significant Data Management demands and platform options such as data warehouses, Hadoop, and the cloud? Trying to save money by…

Data Quality metrics are a measuring system that allows the “quality of data” to be evaluated. Data Quality metrics can be used to determine how useful and relevant data is,…
What is...?

Database Management allows a person to organize, store, and retrieve data from a computer.…

A data catalog centralizes access to all of an organization’s available data assets through…

Data Management is a comprehensive collection of practices, concepts, and processes dedicated to leveraging…

Data models document Data Architecture, aligning core business rules with data definitions. In addition,…

Data Strategy describes a “set of choices and decisions that together, chart a high-level…

Data Governance is a collection of components – data, roles, processes, communications, metrics, and…