Central to treating data as an asset, data monetization should align with familiar research and development (R&D) and product management/marketing approaches. Not to oversimplify the many challenges ...

The rise of data products and product managers has occurred because traditional business intelligence projects were too siloed. A couple of weeks ago, I had the opportunity to interview Sharon ...

"A data product is a self-contained, ready to consume data solution that we organize to solve a specific business problem," said Aminul Khan, global head of marketing data strategy and data ecosystem ...

In the past decade, companies have spent billions on data infrastructure. Petabyte-scale warehouses. Real-time pipelines. Machine learning (ML) platforms. And yet — ask your operations lead why churn ...

Opinions expressed by Digital Journal contributors are their own. At one time, the role of data services seemed to be primarily relegated to cloud storage — essentially, giving businesses a way to ...

The Future of Jobs Report 2018 also identified 10 emerging jobs in 2022, including data analysts and scientists, AI and machine learning specialists and general and operation managers as the top 3 ...

Product management has similar objectives for any kind of software rollout, but some responsibilities are specific to analytics and data products. Here are five ways a great product manager improves ...

As data teams shift their approach toward creating reliable data products, they are modernizing their team structure to place data product managers at the helm of these critical business assets. But ...

Jeff Tompkins is a writer and teacher of English as a Second Language living in New York City. He was born in Hartford, Connecticut, in 1967 and was educated at Brown University and University College ...