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?
SVP - Software Engineering in Finance (non-banking), 201 - 500 employees
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 Services, 5,001 - 10,000 employees
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 Manufacturing, 1,001 - 5,000 employees
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 Construction, 201 - 500 employees
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 Manufacturing, 2 - 10 employees
Data Ownership and Data Governance are key to this discussion, otherwise you will just be creating a larger mess of data!Director of Data Architecture in Media, 5,001 - 10,000 employees
Data assets are raw materials, they hold "potential" value to your business. But in their form, those assets don't do much good. They're just sitting there, somewhere in the dark side of the data catalogs that will show up few times a month... However, Data products take those raw assets and process them into a finished good with more refined, usable and analytical value..Like a chef with a kitchen full of ingredients, it's up to product owners or data teams to turn those data assets into data products!
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Yes30%
No, but we should49%
No, we don't need it18%
Not sure4%
141 PARTICIPANTS
CTO in Software, 201 - 500 employees
Without a doubt - Technical Debt! It's a ball and chain that creates an ever increasing drag on any organization, stifles innovation, and prevents transformation.Community User in Software, 11 - 50 employees
organized a virtual escape room via https://www.puzzlebreak.us/ - even though his team lost it was a fun subtitue for just a "virtual happy hour"
Great12%
The best we can do62%
We could improve22%
Basically non-existent5%
We don’t have self-serve analytics0%
60 PARTICIPANTS