DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the ...

It’s no secret that companies are struggling with digital transformation. Companies know they need to innovate to win, yet 72% of executives feel they are being out-innovated by their competitors, ...

NewVantage Partners 2018 Big Data Executive Survey, demonstrates that culture and organizational impediments are leading barriers to harnessing Big Data. Over half of executives surveyed reported that ...

STAMFORD, Conn., December 04, 2025--(BUSINESS WIRE)--Enterprises are adopting agile, responsive data processes to support trusted, reliable implementations of AI and automation, according to new ...

DataOps, an adaptation of what’s traditionally known as DevOps, has evolved into an essential component of modern business operations. DataOps applies the concepts that have fostered more agility and ...

DataOps is a viable approach that combines data engineering into operations processes. It aims to promote data management practices and procedures that improve the speed and accuracy of analytics.

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 ...