September 15, 2026 - IData Inc. will be exhibiting at the upcoming EDUCAUSE Annual Conference which connects the best thinkers in higher education technology. This event is in Denver and is being held September 29th through October 2nd. Professionals and technology providers from around the world gather at this conference to network, share ideas, grow professionally, and discover solutions to today’s challenges for higher education. Since 2004, IData has been assisting higher education institutions with their technology, data intelligence, data governance, data catalog, data management, and integration needs - and now AI initiatives, too. At our booth #244, IData will be showing the enhanced Data Cookbook solution and the IData library of integration connectors including those for Slate, ACI, and Concur solutions. Learn more in the booth about the data steward in the AI loop, how AI helps data governance, and how data governance helps AI. IData in its 22-year-old history has participated in 17 EDUCAUSE conferences. Hope to see you there. More information about the conference can be found at https://events.educause.edu/annual-conference.
June 6, 2025 - IData Inc., a leader in data governance, is pleased to announce that this month's spotlight is on Data-Related Requests which are an important component of data governance (also known as data intelligence). Requests vary including those for determining if a certain report exists, asking for a new report, requesting a new business glossary entry, modifying a data policy, and adding an item to a reference data list. And these requests can come from different groups such as internal to the organization requestors (employees or students if at a higher education institution) or external to the organization requestors (government agencies or vendors). IData has created a data requests resources page located at https://www.datacookbook.com/data-requests-spotlight containing blog posts, videos, and recorded webinars. These resources include those on the life cycle of data and report requests, types of requests, who is requesting the data, what happens after a data request, and best practices. Be sure to check out these resources.