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About 54 results
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The $64,000 Question and what it means for big data
How do you achieve a proper balance between business case-driven results and pure data experimentation which yields actionable information?
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Develop a Big Data reporting strategy for all users
Once the analytics have been run against raw data, there have to be effective reporting mechanisms that give users actionable information.
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10 successful big data sandbox strategies
Keep in mind these ten strategies when building and managing big data test environments.
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Big Data and working with what you have
Until organizations get a handle on the full needs and processes for big data, they could be well served by making existing assets work for them.
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10 ways to prevent loss of big data enthusiasm
Big data projects can lose steam once the reality replaces the buzz. Here are some ways to keep it on track and sustain the enthusiasm.
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Success is most likely when the data science team reports to IT
Regardless of how many big data initiatives companies have, most still find that they can only afford one data science team.
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Gain performance with big data analytics by overcoming stone-age software
The path toward more effective server utilization in data centers rests in software.
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Big data can lead to effective business process reformation
Specific big data can provide operational agility leading to the reformation of business processes and ultimately better performance.
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See if the R language fits in your big data toolkit
The R programming language could challenge SAS for big data queries. Get more details.
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Beat the odds in the big data productivity battle
Gartner predicts it will take companies five to ten years to achieve productivity with their big data. Learn six ways to avoid delaying productivity.