The Missing Link between Big Data and Business Intelligence: Self-Service Data Discovery

If your organization is going to win on analytics, it needs to view all of its information as a strategic enterprise asset. This includes not just the 10% you know about, but the 90% of dark data that hides in information silos. There are big challenges on the path to surfacing all of your enterprise information for business intelligence. The biggest challenge is not in storing data, or in analyzing it, but actually finding the right data. But why is it so hard? Here are the top three reasons:

1. Data gathering is slow. Data consumers spend more time looking for data than they do actually analyzing the data.
2. Information is incomplete. Organizational data is often siloed, resulting in missed data points that could be critical to making the best decisions or uncovering key opportunities.
3. Bottlenecks. Data analysts don’t have the tools to get the data they need, so they have to make requests to IT. IT doesn’t have the business context, so they struggle to deliver the data sets.

So, what’s the answer? Companies need a modern data architecture that accommodates all types of information, from structured data to semi-structured log files to unstructured text, and a self-service solution for efficiently gathering all relevant information for analysis.

What if you could spend minutes, not months, pulling together all the data your company has on a specific topic?

To learn more about how a data catalog enables self-service data access, regardless of source storage, so that organizations can continually derive value from their information assets, even as other components of the data stack shift, change, and modernize. download the eBook, Empower Your Analytics with All Your Enterprise Information: Agile BI Requires Data Discovery.