Big Data Quote of the day: 07/16/2013

Another interesting perspective of value of big data in Big Data Gets the Algorithms Right but the People Wrong


To begin with, Big Data delivers thin data. In the social sciences, we distinguish between two types of human behavior data. The first—thin data—is from digital traces: He wears a size 8, has blue eyes, and drinks pinot noir. The second—rich data—delivers an understanding of how people actually experience the world: He could smell the grass after the rain, he looked at her in that special way, the new running shoes made him look faster.

                                                             *****************

From my experience, he drinks pinot noir says a lot more about the person than whether he looked at her in that special way. 

Big Data Quote of the day: 07/14/2013

A thoughtful and intriguing comment on the value of streaming analytics by an IBM'er in IBM’s Take on Big Data and How Hadoop Is Changing Integration


"It’s no longer enough to know what question to ask. Sometimes, it matters when you ask a question"

“In a big data world, sometimes the best thing to do is persist your question and have the data run through that question continuously rather than finding a better place to persist the data”

Big Data Quote of the day: 07/10/2013

Hilarious quote in Don’t Stuff your Big Data in a Woman’s Handbag


“Using analytics to understand and exploit data will continue to increase in importance – but it’s clear from this report that organisations lack the process and infrastructure to make this a reality. Company data today is like a woman’s handbag. It may hold a lot, but actually finding anything in it is practically impossible.”

                                                     ********************


We need big data analytics to shine the light  into the handbag.

Big Data Quote of the day: 07/09/2013

A note on social media monitoring/analytics tools and its value from Big Data jumps to the cloud


"With a lot of these tools, you only have a 50-50 chance of getting the sentiment right," TDWI's Halper says. "It also depends on who you're going with – if you pay peanuts, you get monkeys."


                                                    **************************

Same chance as tossing a coin and getting a head.    Why is it that social media monitoring, listening, and management still getting a lot of buzz within the unstructured world of big data?

Big Data Quote of the day: 07/05/2013

A thoughtful HBR blog post How Google Flu Trends Is Getting to the Bottom of Messy Data, emphasizes the importance of both man and machine in enabling better decisions.


The Google approach suggests a certain data vigilantism comprised of smart people wielding smart algorithms to act as sentinels against faulty inference. Big data vigilantism can help your company cope with two of big data's main issues: messiness and sampling bias, and ultimately help contribute to growing your confidence in wielding big data in your decision process. 

Big Data Quote of the day: 07/04/2013

A nice note in a big push to big data usage.

"The big data movement is almost a global religion today, and some of its evangelists have gone so far as to prophesy the end of theory.

 

Grand empirics rather than grand narratives hold the key to an increasingly complicated and interconnected world, they say."

 

                                                   

 

Big Data Quote of the day: 07/03/2013

A quote in Why creativity wins out over big data:

“It’s not just a question of surrendering creativity to data, it’s the danger that if you just measure in the short term, which is what big data makes you do, it turns you off all the things driving success in the long term,” Field claimed.

                                                        *****************

Can't creativity ("big idea"), data of all types (small, medium, large, extra large), technology, and human intelligence (plus the ability to translate the big idea into actions with data and tools) coexist and lead us on the path towards both short-term and long-term business success?  The optimal mix of the ingredients will vary over space and time, and across functions within an organization, but undoubtedly both left and right halves of our brains matter.