How to Turn Dark Data from a Problem into an Advantage
When it comes to analytics, enterprises today have a surplus of data but a shortage of insights.
Why the data surplus? Data warehouses, data lakes, and other repositories are brimming as volume, variety, and velocity continue to grow. Even as the tide continues to rise, enterprises are tapping into new data sources, such as social media and Internet of Things sensors, in order to gain new analytics opportunities.
This explosion of information has made it difficult for some IT teams to generate the necessary insights thanks to bottlenecks like cumbersome manual coding for Extract, Transform, and Load (ETL) processes, a lack of understanding about how data is being used and, more importantly, how it can be used. The result: dark data.
Continue reading this article at DataInformed...