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Are We Data Scientists or Data Janitors?

Ballroom G
Slides:   1-PDF 

To change the world around us, we first need to understand it. That understanding comes from data—but data is dirty, incomplete and complicated. As any analyst will tell you, much of what passes for data science is janitorial work. And it’s only getting worse: rather than preparing and augmenting data once, today’s exploratory approach to ad-hoc analytics means that every query, every new question, is yet another round of scrubbing, joining, and augmenting.

In other words, if you want to be data-driven, you first need to drive through the bottleneck of data preparation—often many times over.

That’s changing. A new wave of data preparation tools blend human insight and machine automation to edit huge amounts of data in real time. Join Paxata’s Nenshad Bardoliwalla for a look at the new breed of data preparation tools that use semantic algorithms to detect data types, apply machine learning to find hidden patterns, and link related columns of data automatically. The result is more than just a reduction in preparation time—it’s an entirely new perspective on what’s in your data, how fast you can understand it and what more you can do with it.

This session is sponsored by Paxata

Photo of Nenshad  Bardoliwalla

Nenshad Bardoliwalla

VP of Products, Paxata

An executive and thought leader with a proven track record of success leading product strategy, product management, and development in business analytics. Bardoliwalla co-founded Tidemark Systems, Inc. where he drove the market, product, and technology efforts for their next-generation analytic applications built for the cloud. He formerly served as VP for product management, product development, and technology at SAP where he helped to craft the business analytics vision, strategy, and roadmap leading to the acquisitions of Pilot Software, OutlookSoft, and Business Objects. Prior to SAP, he helped launch Hyperion System 9 while at Hyperion Solutions. Nenshad began his career at Siebel Systems working on Siebel Analytics. Nenshad is also the lead author of Driven to Perform: Risk-Aware Performance Management From Strategy Through Execution.