Accelerate Your Journey From Data to Insights

There is a costly — and growing — insights gap between the few highly technical data experts who can analyze big data — and the masses of business users and analysts seeking insights to make better data driven decisions. On one side of the gap are data experts like data scientists using Python, Tensorflow, and SQL to decode signals from the noise of cloud-native applications, streaming social media, and other sources. On the other side are domain experts using BI platforms and spreadsheets to handcraft insights, which grows harder as data volume, velocity, and variance grows.  

This gap causes analytic bottlenecks and business decision delays which are costly in terms of missed opportunities and increased business risk. Stakes continue to rise for firms to identify and act on insights, and the gap grows with each additional investment in AI, ML, and alternative data models and sources. 

Get this eBook to learn:

• 5 defining factors of this “Insights Gap”
• How augmented analytics and decision intelligence helps bridge this gap
• How to go beyond “blocking and tackling” of analytics and realize the power of applying AI to BI