As a plethora of data is produced every day, companies try to find the best way to manage it to generate business value. Associated Bank, the largest bank headquartered in Wisconsin, began a journey ...

DataKitchen has announced the release of the latest edition of the DataOps Cookbook, a guide to understanding and implementing DataOps. DataOps—a combination of tools and methods that applies Agile ...

It’s sad but true, most attempts by companies to leverage data as a strategic asset fail. The challenge of both managing vast amounts of disparate data and then distributing it to those who can use it ...

In the context of COVID-19, the world’s newly uncertain and volatile state increases the imperative to have a true strategy around data. As the idea of a DataOps methodology has matured, a world where ...

In this special guest feature, Itamar Ben Hemo, CEO of Rivery, discusses commonalities and differences between DevOps and DataOps. Rivery is a DataOps platform that streamlines data integration, ...

Agility is key when it comes to data analytics. A report that takes six months to deliver is of little value to the business, because any insights will be stale and irrelevant. The historical ...

The survey associated with this report, “DataOps Dilemma: Survey Reveals Gap in the Data Supply Chain,” commission by Immuta, focused on identifying the limiting factors in the data “supply chain” as ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Every business must either become a data business or face potentially going out of business. When data goes to work, organizations can maximize productivity and profits. Data mitigates the guesswork ...

Should you have feedback on this article, please complete the fields below. Please indicate if your feedback is in the form of a letter to the editor that you wish to have published. If so, please be ...