"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 ...

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 ...

As enterprises rush to embrace Generative AI (GenAI), many quickly realize that technology isn’t the first hurdle, it’s the data. In my experience, launching any AI initiative, especially ...

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 ...

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 ...

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 ...

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 ...