Analytics Powerhouse

(Before & After Augmented Analytics - Blog 1 of 4) 

In the last decade, the education industry has gotten a reality check: the system had seen virtually no significant innovation since the old schoolhouse days. Teachers, with the few classroom resources they had, administered “one-size-fits-all” lessons that didn’t cater to students’ individual different learning styles or skill levels--and were often presented in the same non-interactive way they had been since school’s earliest days.

Topics: Augmented Analytics, AI

Storing company data for a year? Thousands.

Losing market share to competitors? Millions.

Smart data analysis that changes the game? Priceless.

Topics: Segment, Data Analytics, Smart Analytics

This week, Zion Market Research reported that the smart grid technology market, which fuels energy-efficient smart cities, will be a  $5.7B industry by 2025--and has produced a slew of academic conferences examining applications for 2020. For the average consumer,  Artificial

Topics: Data Analytics, Data Quality, Smart Analytics

The whole point of “smart analytics” is that the technology can do more of the problem-solving work for us — but despite continuous advances, challenges still exist for many businesses. To understand what those are, let’s first look at why businesses are tapping into the power of smart analytics.

Topics: Data Analytics, Smart Analytics

If history has taught us anything, it’s that a good idea can come from anywhere.

Most of us have heard the story about the semi-truck that got stuck under a bridge--as the traffic continued to build up, all the adults with more specialized knowledge about trucks were frantically theorizing as to how they could ever possibly get this thing out from under the overpass. Then a little girl spoke up with a simple and effective idea: just let the air out of the tires.

Topics: Data Analytics, Smart Analytics, New Features, KPI

An interview with Yuanming Shan, SVP of Analytics and Data Science at Smule

Topics: Data Quality, Smart Analytics

Why do 72% of data-driven projects fail? Let’s use a human-centered example. Say a person intent on gaining muscle commits to lifting weights at the gym regularly for a year. If they saw little to no results after that year, would you blame the weights--or would you bet the problem lay in their form?

Topics: Data Analytics, Product Management, Product World

Imagine a kitchen stocked with every ingredient a budding chef could possibly want, but with one problem: there are no recipes to be found anywhere. 

Topics: Augmented Analytics

We're incredibly excited to announce that we have joined Snowflake Data Exchange. The partnership will allow all Kubit customers to use SQL to access their raw event data securely and in real-time through Snowflake's virtual data warehouse. We can now give our customers complete data freedom.

Topics: Snowflake, Data Warehouse

Topics: Augmented Analytics, Diagnostics