BIGDATASuccess Checklist

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Based on research from 100FirstHits.comPresented by Manifact.com

Mistakes

1 COMPETENCEBIG DATASuccess Checklist

Big data platforms are relatively new. Make sure you have trained teams in

place to use the platforms successfully.

2 GOALSBIG DATASuccess Checklist

If you don’t ask the right questions, the data will ultimately be useless to you.

Example of good questions to ask are:

-Who will buy?-Who will leave / churn?

-What will break?-Who will pre-pay?

-What will sell?-Etc…

3 STRATEGY &BIG DATASuccess Checklist

What comes out of Big Data analysis is often affecting both corporate and operational

strategies, and the decisions to make can be hard and risky.

CORPORATE SUPPORT

Never consider BIG DATA a “side-job”

4 DATA QUALITY BIG DATASuccess Checklist

Shit in. Shit out. Understanding the quality of existing data in legacy systems is a huge pitfall that companies often don't spend enough time

on.

This is opposite to #5

5 DATA QUALITY BIG DATASuccess Checklist

“Big data beats sampling, hands down. In the past everyone relied on small data sets, or

“samples.” But you needn't settle for samples. Now it’s about using as much data as you can

get your hands on, which lights the way to new

insights never before available.” -Daniel Kehrer

This is opposite to #4

…again

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