We've got decades of data challenges and failures behind us. Various data management approaches may have worked for a while, but so far none have proven flexible or scalable enough as data sources increase and volumes grow.
Product thinking has been applied successfully to other areas of IT like application development--and now thought leaders and technology executives are looking at this approach for data management. Is this the solution to tapping the potential that is locked in enterprise data stores?
I recently hosted a discussion with a community of CIOs across industries, in which we narrowed in on the importance of treating your data like a product - aka Data-as-a-Product thinking. Together, we addressed the all too common questions leaders across organizations are facing today when it comes to managing their data:
- How does my team need to think differently about data?
- How do I sell these ideas to business leadership?
- How do I get my business partners on board?
- How should my team integrate governance into the data-as-a-product mentality?
Here are the top key takeaways from the discussion and actionable steps CIOs and leaders, like yourself, should take to apply Data-as-a-Product thinking across your teams: