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 ...

"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 ...

Creating data products is a good way to accelerate delivery, reuse data assets, reduce risks, and manage costs. Standardized ...

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 ...

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 ...

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 ...

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 ...

Doug Wintemute is a staff writer for Forbes Advisor. After completing his master’s in English at York University, he began his writing career in the higher education space. Over the past decade, Doug ...

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 ...