This link has been bookmarked by 15 people . It was first bookmarked on 14 Sep 2012, by someone privately.
-
20 Nov 12
-
09 Nov 12
-
05 Nov 12
Adriana LukasMisguided article. It's not about how big the data is or how good the algorithms fed data are but about where it comes from and what value it contains. Data is best coming from the individual as that's the only source of context and understanding. Big data is a red herring, customer enhanced and shared data is the real deal. Unfortunately, that's not on the horizon any time soon... first of all, the organisations getting excited about big data would need to free their customers' data. And that's going to be hard work.
-
Big data doesn't inherently lead to better results.
-
-
22 Sep 12
Barry LibertWhat Executives Don't Understand About Big Data - @HarvardBiz http://t.co/d2rEhUf1
-
18 Sep 12
-
-
big data-driven" requires more qualified human judgment than cloud-enabled machine learning.
-
What works best is not a C-suite commitment to "bigger data," ambitious algorithms or sophisticated analytics. A commitment to a desired business outcome is the critical success factor.
-
they couldn't envision or align it with a desirable business outcome
-
What matters is how — and why — vastly more data leads to vastly greater value creation
-
nstead of asking, "How can we get far more value from far more data?" successful big data overseers seek to answer, "What value matters most, and what marriage of data and algorithms gets us there?"
-
Too many executives are too impressed — or too intimidated — by the bigness of the data to rethink or revisit how their organizations really add value. They fear the size of the opportunity isn't worth the risk
-
Executives need to understand that big data is not about subordinating managerial decisions to automated algorithms but deciding what kinds of data should enhance or transform user experiences. Big Data should be neither servant nor master; properly managed, it becomes a new medium for shaping how people and their technologies interact.
-
Executives need to understand that big data is not about subordinating managerial decisions to automated algorithms but deciding what kinds of data should enhance or transform user experiences
-
It all comes down to data. Run a 1% test [on 1% of the audience] and whichever design does best against the user-happiness metrics over a two-week period is the one we launch.
-
The innovative insights flow not from the bigness of the data but from the clear alignment to measurable business outcomes.
-
Most companies aren't Google, Amazon or designed to take advantage of big data-enabled network effects. But virtually every organization that's moving some of its data, operations or processes into the cloud can start asking itself if the time is ripe to revisit their value-creation fundamentals
-
-
17 Sep 12
-
Bertrand Duperrin"Although big data already is — and will continue to be — a relentless driver of revolutionary business change (just ask Jeff Bezos, Larry Page or Reid Hoffman), too many organizations don't quite grasp that being "big data-driven" requires more qualified human judgment than cloud-enabled machine learning. Web 2.0 juggernauts like Google, Amazon and LinkedIn have the inborn advantage of being built around both big data architectures and cultures. Their future success is contingent upon becoming disproportionately more valuable as more people use them. Big data is both enabler and byproduct of "network effects." The algorithms that make these companies run need big data to survive and thrive. Ambitious Algorithms love Big Data and vice versa."
-
One of the CEOs actually declared that the surge of new data might even lead to losses because his firm's management and business processes couldn't cost-effectively manage it.
-
Instead of asking, "How can we get far more value from far more data?" successful big data overseers seek to answer, "What value matters most, and what marriage of data and algorithms gets us there?"
-
Too many executives are too impressed — or too intimidated — by the bigness of the data to rethink or revisit how their organizations really add value.
-
Executives need to understand that big data is not about subordinating managerial decisions to automated algorithms but deciding what kinds of data should enhance or transform user experiences
-
The innovative insights flow not from the bigness of the data but from the clear alignment to measurable business outcomes
-
-
16 Sep 12
-
15 Sep 12
Brian KellyWhat Execs Don't Understand About Big Data | @HarvardBiz http://t.co/OgqgBWU8 Why vastly more data leads to vastly greater value. #bigdata
-
14 Sep 12
Stewart TownsendWhat Executives Don't Understand About Big Data #hbr #bigdata http://t.co/iMviBrkU
Would you like to comment?
Join Diigo for a free account, or sign in if you are already a member.