There is a always a need for data modelers, however, the job description of this career field varies, depending on the needs of the organization. For example, a data modeler working for a startup would coordinate with data scientists and data architects in designing a new system — one that included the goals of the organization, and the steps needed to achieve them, within its architectural design. This “model” represents…

The journey of advanced analytics has been a long in development, with many hurdles along the way. Some of the most complicated aspects of data analytics that still remain today are data gathering technologies, data cleansing methods, and skill support for advanced analytics. It has taken years to come to the automated age of business analytics, when even mainstream business users without much technical knowledge are able to use AI…

AK Productions found out why economical and efficient cloud storage leads to a better workflow. The freelance company does video production for businesses and individuals, including international brands like National Geographic and the World Bank. Aiden Korotkin, director of photography and editor, stays hands-on throughout each project. He shoots videos from start to finish, edits them, and then does post-work. Finally, he delivers the golden version to his customers. He…

Companies use a metadata repository to store and share information about data or metadata. Metadata repositories, once thought limited to databases or diagrams, have evolved sophisticated Data Architectures, driving businesses to transform the marketplace digitally. Take the New South Wales (NSW) government’s Spatial Digital Twin, which went live in February 2020. NSW, an Australian state containing Sydney, envisioned a more efficient and better state infrastructure, including “major hospital upgrades.” In…

Any organization that aims toward complete digital transformation must move toward Enterprise Data Literacy. So, what exactly is Data Literacy? Kasey Panetta, Gartner’s brand content manager, defines Data Literacy as: “The ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied — and the ability to describe the use case, application and resulting value.” According to the Gartner…

It would be any data manager’s nightmare to run meetings that create pedantic and irrelevant business glossaries or data dictionaries, which eventually gather cyber dust. However, skipping over building and maintaining a good business glossary or data dictionary risks convoluted meanings, confusing communications, and business failures. What should a company do? Robert S. Seiner (Bob), President and Principal of KIK Consulting & Educational Services, and publisher of The Data Administration…