To Improve Data Quality, Sometimes the Best Place to Start is at the Very End

Brad Shimmin – Research Director, Business Technology and Software

Summary Bullets:

• With big data and analytics, older ideas like predictive analytics and AI are coming together to solve long-standing problems, most notably data quality.

• Sisense is adding another twist by taking advanced design and visualization concepts and putting those to work at the very beginning of the analytics lifecycle.

Invention invariably involves theft. Each generation of inventors stands on the shoulders of its predecessors, borrowing freely from their available pool of knowledge. Ideas are deconstructed, mixed up, and reapplied in new ways and within unexpected contexts to form, well, something new. Sometimes these new inventions are simply the opportunistic reinterpretation of an existing idea, taking something unique but impractical and turning it into something incredibly useful. That’s the way it was with the invention of the automobile, the light bulb and the radio. And that’s how it is with big data and analytics, where older ideas are only now coming together to solve long-standing problems. Continue reading “To Improve Data Quality, Sometimes the Best Place to Start is at the Very End”