What has been your experience in trying to create data assets in your organization? Are the efforts more focused on improving data quality for internal decisions or do you think data assets are also being monetized for creating new products/services?
Sort By:
Oldest
SVP - Software Engineering in Finance (non-banking)a year ago
We are first trying to get our data lake and data warehouse environment stood up in an architecturally sound, reliable, and scalable manner for better reporting, analytics, and decision support. We also need improve data quality through better governance and clean up. After that, we may explore possibly creating new products and services using our data.CTO & Lead Advisor in IT Servicesa year ago
It entirely depends on enterprise maturity on data & AI curve. You see large global enterprises have a good amount of centralization and data platform ready to start leveraging data as product however mid size companies are still in either putting right foundation or putting data demonstration on few of their businesses. In my view most companies leverage data & analytics for internal decisions better rather in the business of selling direct data to outside world except few who are data providers.. However few does selling curated intelligence to partners.Director in Manufacturinga year ago
Our initial efforts were all data cleanup focused. We had so many different sources it made progress very slow. We are still cleaning but we are finally harvesting and leveraging the data for new services based on the data. Those new services are working best in our most complex businesses like aerospace and chemical engineeringVP of Information Technology in Constructiona year ago
We are still in the process of cleaning up our data as we have acquired multiple companies over the past 18 months and some of the data imported was less than desirable. Once we feel the data is reliable than it will be used for internal decisions only.CIO / Managing Partner in Manufacturinga year ago
Data Ownership and Data Governance are key to this discussion, otherwise you will just be creating a larger mess of data!