Government Technology

7 Ways to Succeed with Big Data




Image courtesy of Tableau Software.

January 21, 2013 By

How can organizations benefit from the promise of big data? Brett Sheppard of data visualization company Tableau Software provides his prescription for big data success in 2013 via the website Datanami.

1. Visualize -- Examine your data using a variety of visual means in order to reveal the story your data was meant to tell. Visualization platforms can provide insights not easily extracted from a spreadsheet.

2. Simplify -- Manage your database landscape with an effective data architecture system that helps you select the proper tools for each data processing project.

3. Coexist -- Know the strengths of each data architecture element to make the best decisions about traditional versus open source options.

4. Empower -- Big data is not just for IT. People throughout the organization should be able to access and evaluate big data for the benefit of constituents. It's an idea whose time has come, Sheppard argues.

5. Integrate -- Develop the capacity to blend different kinds of data sources, regardless of how they are stored. Experts believe the successful integration of disparate data sources, like fundraising lists and social media activity, for example, factored into Obama's successful re-election in 2012.

6. Govern -- Establish policies to safeguard privacy. "Organizations that master big data will let IT set up the data architecture, security and access controls, while giving business people the ability [to] serve themselves reports and dashboards," Sheppard says.

7. Evangelize --Spread the word about the successful use of big data analytics to encourage more benefits that contribute to the mission of an organization.


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Comments

CyberH    |    Commented January 24, 2013

Nice perspective! With the explosion of big data, companies are faced with data challenges in three different areas. First, you know the type of results you want from your data but it’s computationally difficult to obtain. Second, you know the questions to ask but struggle with the answers and need to do data mining to help find those answers. And third is in the area of data exploration where you need to reveal the unknowns and look through the data for patterns and hidden relationships. The open source HPCC Systems big data processing platform can help companies with these challenges by deriving insights from massive data sets quick and simple. Designed by data scientists, it is a complete integrated solution from data ingestion and data processing to data delivery. More info at http://hpccsystems.com


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