11 Ways to Ask Smarter Data Analytics Questions - InformationWeek

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5/13/2021
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11 Ways to Ask Smarter Data Analytics Questions

Not everyone has been trained to think like a data scientist or a data analyst, but they can learn to think more like one.
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Understand Your Data

Credit: Pixabay
Credit: Pixabay

The quality of an analytical result depends on the data. The question is whether a person has the data required to answer a particular question.

"Seek to understand sources of data, and all the interactions that make up the source. A lot of times you'll gain more from an analytical perspective if you know where data comes from, where it's been and who's touched it, versus what it tells you in the end." said Michael Schwarz, VP of data at data, technology and digital transformation firm KSM Consulting.

Alicia Frame, director of graph data science at graph database platform provider Neo4j, said if one lacks the data one needs to answer their questions or test their hypotheses, then it's time to think about your organization’s data strategy in the first place and what you can do to ensure that you have the information available to act in a data-driven way.

Finally, not all data is equal. Brittany Davis, head of data at data platform provider Narrator.ai,  said focusing on customer actions instead of attributes increases the likelihood of finding something useful. "People who are new to data tend to focus on the attributes about their customers (job role, industry, company size) as valuable drivers for their KPI, but seasoned analysts will tell you to look for behavioral indicators instead because they know from experience that the behavioral traits are usually the most predictive of future action."

 

Lisa Morgan is a freelance writer who covers big data and BI for InformationWeek. She has contributed articles, reports, and other types of content to various publications and sites ranging from SD Times to the Economist Intelligent Unit. Frequent areas of coverage include ... View Full Bio

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