Fabio De Bernardi
Moving from manual data wrangling to an automated augmented analytics state of mind
It's 2020, the year the IIA predicted businesses using data will see $430 billion in productivity benefits over competitors who are not. But this is easier said than done, especially with organisations relying on data scientists being able to wrangle data, analyse it - often without an understanding of the business - visualise it, and present it to a non-data audience.
Bad data equals incorrect analysis, invalid insights, wrong decisions and poor outcomes. The shift from manual data wrangling to automated augmented analytics is coming, and in our session we'll discuss how to attain this nirvana, using case studies.
3 Key Takeways:
- Boost efficiency of data processes and fully capitalise on insights
- Demonstrate the true value of data and data-driven decisions simply
- Strategy for automising intelligent data processing, analysing, predicting, and optimising