Slideshow Gartner: Big Data’s 10 Biggest Vision and Strategy Questions

Published
  • July 12 2015, 12:37pm EDT
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Gartner: Big Data’s 10 Biggest Vision and Strategy Questions

Many organizations are in the midst of rapidly maturing big data efforts, but questions and challenges remain, Gartner concedes. In fact, here are the 10 biggest vision and strategy questions that businesses are encountering as they evaluate potential paths forward, according to the research firm.

1. Is big data hype or substance?

Beyond all the discussions, Gartner insists that adoption of big data is inevitable – especially since C-level executives and their lieutenants are striving to make data-driven decisions.

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2. What are others in my industry doing?

Actually, Gartner recommends that you evaluate what leaders are doing in other industries to identify best practices.

3. What data sources should I consider?

Here, operational data, social media and enterprise dark data are all sources for big data, Gartner notes.

4. Does my company have a big data problem?

Your IT infrastructure should support the growth of big data; and your business should be able to achieve its objectives with the range of data being analyzed, Gartner points out.

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5. What is the value of big data projects?

The short answer, according to Gartner, involves the ability to analyze data in new ways, leveraging new sources, all in economically quicker ways.

6. Do we still need a data warehouse?

Gartner predicts that 90% of data warehouses will not be replaced.

7. What is big data analytics?

The application of analytic capabilities on enormous, varied or rapidly changing datasets, Gartner says.

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8. What data can we use?

Here, Gartner is pointing more to privacy and data protection issues. Privacy is both a legal issue and an executive-level ethics issue, the research firm notes.

9. What skills do we need for big data?

Beyond data scientists, the systems supporting data scientists will require configuration, administration and management, Gartner points out.

10. How does a data scientist differ than a statistician or BI analyst?

Data scientists tend to embody a more inclusive range of skills, Gartner says.

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Thank You and More

For more details about these top 10 questions, check out the Gartner blog here. Also, check out additional Information Management slideshows here.