Big Data Analytics
This blog offers best practices and tips for companies looking toextract insight from internal data, plus today's most useful data from acrossthe Internet.
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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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Leadership requires that you don't get caught in thoughtless execution
There's more value in defining a problem that there is in solving it. Make sure your big data team is asking the right question before it starts developing an answer.
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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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SharePoint 2013 adds better in-memory analytics
Microsoft's business intelligence tools have arrived squarely on the doorstep of serious big data analytics.
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Let maturity and evolution determine where the data science team reports
The size and maturity of your organization has a lot to do with how your data science team should be structured.
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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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The big data Dead Hand may not be the end of the world
Neither humans nor machines are infallible, but combining the two makes for a far more robust big data system than relying totally on just one.
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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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Big Data basic concepts and benefits explained
Big Data is a phrase that echoes across all corners of the business. Learn about what it is, how it works, and the benefits it can offer.
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Call in a Black Belt to manage your big data analytics team
Even though it's tempting to embrace the latest and greatest theories on management, sometimes a leader needs to go old school to get the job done.
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Don't draw strategic conclusions from the wrong marketing data
If you're not careful, the data you're collecting for your marketing analysis may be telling you the wrong story about your target market.
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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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The best big data strategy is the strategy that keeps adapting
If human behavior undergirds your big data strategy, you must constantly be on alert for a shift in how your target is behaving.
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Opportunity knocks with big data products
Instead of using big data only to sell, why not sell the output of your big data itself?
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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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Practice big security with Big Data
Security is often an afterthought in most rapidly maturing applications, and Big Data is no exception.
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Using Big Data to establish market dominance
Successful companies let business questions drive big data discoveries; unsuccessful companies ask Big Data to uncover business insights. Don't fall into the same traps as your predecessors.
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Leadership requires that you don't get caught in thoughtless execution
There's more value in defining a problem that there is in solving it. Make sure your big data team is asking the right question before it starts developing an answer.
-
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.
-
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?
-
Big Data basic concepts and benefits explained
Big Data is a phrase that echoes across all corners of the business. Learn about what it is, how it works, and the benefits it can offer.
-
10 emerging technologies for Big Data
Thoran Rodrigues interviewed Dr. Satwant Kaur about the 10 emerging technologies that will drive Big Data forward.
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SharePoint 2013 adds better in-memory analytics
Microsoft's business intelligence tools have arrived squarely on the doorstep of serious big data analytics.
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The NSA and Big Data
While your company may not be subjected to the global scrutiny befalling the NSA and U.S. intelligence gathering apparatus, the "Big Snooping" capabilities engendered by Big Data must be used in a clearly delineated and responsible manner.
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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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Big data spreadsheet products and their potential benefits
Excel isn't the most robust tool for big data work. Fortunately, there are spreadsheet solutions that fit the bill, and that may relieve some users' anxieties about big data.
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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.
-
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.
-
Let maturity and evolution determine where the data science team reports
The size and maturity of your organization has a lot to do with how your data science team should be structured.
-
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.