Well, did you know, a data and analytics program uses 33 data sources at an average? Internal enterprise data grows at an average rate of 50% every year? And, external data volume is growing exponentially?
If you have been wondering how to manage the exponentially growing number of data sources, types and volumes, you have come to the right place – Data Lakes is THE answer for you!
Data Lakes enable a strong scalable data foundation for progressive organizations seeking a digital edge.
The ability to harness more data, from more sources, in less time, and empowering users to analyze their data in different ways leads to better, faster decision making. Hence, a well-orchestrated data lake sets the stage for an elevated level of analytical activity. This translates to substantial ROI in the form of revenue and profitability.
However in order to meet the needs of disparate stakeholders, data lakes require –
– i.e. defined mechanisms to catalog, and secure data. Without these elements, data cannot be found, or trusted resulting in data swamps.