6 Ways To Ask Smarter Questions Of Big Data - InformationWeek

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Data Management // Big Data Analytics
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9/9/2015
08:06 AM
Lisa Morgan
Lisa Morgan
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6 Ways To Ask Smarter Questions Of Big Data

To drive more value out of your big data, you have to start with the right questions. Here are six strategies for improving the quality of the questions you ask big data.
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(Image: Geralt via Pixabay)

(Image: Geralt via Pixabay)

Some organizations are driving more value out of big data than others. They're the ones redefining how businesses interact with their customers. They're the ones using data to transform their business models and to innovate.

Getting there is a matter of maturity, however. It takes a critical mass of data, tools, expertise, and dogged curiosity, as well as a willingness to act on the data. Even then, businesses get varied results.

Asking better questions of data is both an art and a science, and it's an iterative process. The most sophisticated and competitive companies are constantly striving to improve their understanding of what data can tell them, and what they can ask of the data.

[ See how companies are turning social media data into dollars and cents. Read 7 Smart Ways To Leverage Social Data. ]

"Most things don't start and end with a single question," said Fabio Luzzi, VP of advanced analytics and data science at mass media company Viacom. "The quality of your questions gets better along the way."

Many organizations are successfully improving operational efficiencies, but fewer are realizing other types of strategic impact that can make them more competitive.

"It's easy to show ROI by improving operational efficiency, but it's much harder to drive top-line revenue impact on business value," said Olly Downs, chief scientist at big data analytics company Globys. "You want to find something that has a huge impact, and there are capabilities now that allow you to do things that were not possible before."

Here are a few ways to improve the quality of the questions and ultimately the quality of insights and the quality of actions taken.

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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PeterF028
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PeterF028,
User Rank: Moderator
9/15/2015 | 7:15:49 PM
Breaking it down
Bottom line if people truly want to realize big data's potential, it's time to start breaking the process down into pieces that the company can adequately manage. There are so many tools available today, and with the right approach and support any organization can figure out how to gain from a big data strategy. Peter Fretty, IDG blogger working on behalf of SAS
shamika
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shamika,
User Rank: Ninja
9/14/2015 | 2:29:08 AM
Goals
I like the first way. It is really important to understand why we need these data. By having the clear goal it will definitely help in analyzing the data better.
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