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4 Ways to Effectively Use Data in Your Job

by Dan Maycock
November 13, 2014
in BI & Analytics, Data Science
Home Topics Data Science BI & Analytics
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With all the excitement around how companies are using data today, it’s hard for anyone outside of a job specifically dealing with data to know how to effectively use it for their day to day work. Yet, there isn’t a single career that isn’t impacted by the use and understanding of data, and the more effective someone becomes at harnessing and understanding data mining, the more they can impact the things that impact their professional ecosystem.

From impacting your online brand, to better tracking variables you deal with around a given task at work, knowing how to leverage data can make a big difference in any number of careers.

1. Start with a question

Before diving into a number of articles or tools regarding data, start with the question of what you’re trying to answer. It sounds basic, but you’d be surprised how often I’ve worked with people that have said data is the answer without first having the question. Figure out what are the most pressing business problems you, your boss, or your company are facing and see how data might help provide insights to answering those important need to knows.

2. Start with a small amount of data, build from there


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It doesn’t take petabytes of data to answer questions, sometimes it can be a relatively small set of data to answer big questions. With all the hype around big data, sometimes it’s hard to realize that with only 100 or so records, and a pivot chart, you can get to important answers that are far more useful than what a million records could show, depending on the type of data and the question you’re looking to solve.

3. Leverage third party data that’s free

There’s a TON of data out there that’s completely free, and useful to use. US Census is a great place to start, and there are a number of sites, such as Google’s public data directory that’ll let you explore it. Furthermore, you can download the data for free and combine it with your own internal data to add greater context for things like taking your company’s store sales by zip and seeing how demographic trends within those zip codes may impact certain buying habits.

4. Learn about Data Mining

The key to making data useful is by learning methods that allow you to tap into data, and find useful data points that can help solve the business problems you’re looking to tackle.Data mining is the practice that helps you start to uncover trends and patterns in data, and is a great discipline to begin with, whether it’s using Excel and a little bit of data or tapping into RapidMiner and starting to dive into Hadoop, Data mining spans the gambit on complexity and data quantities. Remember the first three points to keep the right context and not go overboard too soon though, and you’ll be in good shape.

Regardless of your career, there is a way data can no doubt help you professionally and impress your co workers and higher ups in the process. Start with the fundamentals, help answer important questions, and simply build from there and you’ll be a bonafide data analyst before you know it.


Dan MaycockDan Maycock is the Director of Strategy & Analytics at OneAccord Digital and Advisor for pandexio. He has worked with executives at several Fortune 1000 companies, where his expertise in Business Intelligence, Data Analytics and Digital Strategy has been used to successfully understand, adopt, and adapt to digital technologies. Dan is the author of the upcoming book, “Building The Expo,” where he discusses new approaches for results driven innovation based on his work with companies from across the globe.


(Image Credit: JDHancock)

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Comments 1

  1. Pat Hennel says:
    8 years ago

    Start with a question, but don’t go looking for an answer! What I mean by that is that it’s easy to twist data to create the answers you are trying to support. Let the data tell the story, don’t have a story in mind that you are trying to create with the data.

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