The Business Intelligence Blog

Slicing Business Dicing Intelligence

Archive for the ‘big data’ tag

For the future of big data startups – look Facebook  

For any startups trying to divine where the big data space is headed and where to focus their energies, there are worse places to look than Facebook. The company collects a lot of data, and in order to handle that data it has created, among other things, the Cassandra NoSQL data store and the Hive query language for Hadoop. Its Hadoop cluster currently stores more than 100 petabytes of user data. If there’s a good idea for an application to make big data technologies even more useful, chances are Facebook is already working on it.

via For the future of big data startups, look to Facebook — Data | GigaOM.

The article has

no responses yet

Written by Guru Kirthigavasan

September 28th, 2012 at 7:28 am

Gartner’s 2012 Hype Cycle for Emerging Technologies  

This broad scenario portrays a world in which analytic insight and computing power are nearly infinite and cost-effectively scalable. Once enterprises gain access to these resources, many improved capabilities are possible, such as better understanding customers or better fraud reduction. The enabling technologies and trends on the 2012 Hype Cycle include quantum computing, the various forms of cloud computing, big data, complex-event processing, social analytics, in-memory database management systems, in-memory analytics, text analytics and predictive analytics. The tipping point technologies that will make this scenario accessible to enterprises, governments and consumers include cloud computing, big data and in-memory database management systems.

via Gartner’s 2012 Hype Cycle for Emerging Technologies Identifies “Tipping Point” Technologies That Will Unlock Long-Awaited Technology Scenarios.

The article has

one response

Written by Guru Kirthigavasan

September 15th, 2012 at 1:58 am

What Executives Don’t Understand About Big Data  

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.

That’s why it’s a tad disingenuous when Google-executive-turned-Yahoo-CEO-thought-leader Marissa Mayer declares “data is apolitical” and that her old company succeeds because it is so (big) data-driven: “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. We have a very academic environment where we’re looking at data all the time. We probably have somewhere between 50 and 100 experiments running on live traffic, everything from the default number of results to underlined links to how big an arrow should be. We’re trying all those different things

via What Executives Don’t Understand About Big Data – Michael Schrage – Harvard Business Review.

The article has

no responses yet

Written by Guru Kirthigavasan

September 15th, 2012 at 1:52 am

Big Data Gets Its Own Photo Album  

Very Interesting.

Massive rivers of digital information are a snooze, visually. Yet that is the narrow, literal-minded view. Mr. Smolan’s new project, “The Human Face of Big Data,” which is being formally announced on Thursday, focuses on how data, smart software, sensors and computing are opening the door to all sorts of new uses in science, business, health, energy and water conservation. And the pictures are mostly of the people doing that work or those being affected.

via Big Data Gets Its Own Photo Album – NYTimes.com.

The article has

no responses yet

Written by Guru Kirthigavasan

September 15th, 2012 at 1:49 am

Posted in Big Data

Tagged with ,

GoodData Hits a Gusher with Big Data  

“Big Data is a $100 billion market opportunity as estimated by Merrill Lynch,” Stanek said. “We are nearing a perfect storm: a history of failed Business Intelligence implementations that never lived up to their promise, yet analytics are needed today more than ever.”

via GoodData Hits a Gusher with Big Data – Forbes.

The article has

no responses yet

Written by Guru Kirthigavasan

September 10th, 2012 at 3:16 pm

Posted in Big Data

Tagged with ,

Big Data Quality: Persistence vs. Disposability  

Your data quality efforts need to be defined more as profiling and standards versus cleansing. This is better aligned to how big data is managed and processed. While on the surface, big data processing is batch in nature, it would seem obvious to institute data quality rules the way they have always been done. But the answer is to be more service-oriented, invoking data quality rules that provide improved standardization and sourcing during processing versus fundamentally changing the data. In addition, data quality rules are invoked in a customized fashion based on customer service calls from big data processing.

via Big Data Quality: Persistence vs. Disposability – Information Management Blogs Article.

The article has

no responses yet

Written by Guru Kirthigavasan

September 9th, 2012 at 8:14 am

Posted in Big Data

Tagged with ,

Big Data in the (Heated or Cooled) Air Around You – NYTimes.com  

Big Data is in more places than you know, perhaps even your living room.

Jim Wilson/The New York Times

Smart thermostats made by Nest Labs.

Nest Labs makes a smart thermostat that promotes energy saving by studying its owner’s habits and predicting things about when people are home and what they are likely to do with their home heating and cooling. Using a clever system of awards for the homeowner (green “leaves” for doing the energy-efficient thing), the thermostat is intended to save money through efficiency.

via Big Data in the (Heated or Cooled) Air Around You – NYTimes.com.

The article has

no responses yet

Written by Guru Kirthigavasan

September 5th, 2012 at 2:30 pm

Posted in Big Data

Tagged with , ,

Vinod Khosla says technology will replace 80 percent of doctors — sparks indignation | VentureBeat  

Khosla said that machines, driven by large data sets and computations power, not only would be cheaper, more accurate and objective, but better than the average doctor. To get there, the level of machine expertise would need to be in the 80th percentile of doctors’ expertise, he said.

via Vinod Khosla says technology will replace 80 percent of doctors — sparks indignation | VentureBeat.

The article has

no responses yet

Written by Guru Kirthigavasan

September 5th, 2012 at 7:28 am

Big Data brings in a whole new way of thinking  

This intersection between data and human behaviour is quickly becoming a boardroom preoccupation. How organisations use data to generate insights — Big Data analytics — is an opportunity for Ireland to prosper in a new IT revolution.

Whether we are aware of it or not, each of us is generating vast amounts of information, or “digital shadows”. Smartphones, social networks and other consumer devices, including PCs and laptops, have allowed billions of people around the world to process huge amounts of information.

This information is creating opportunities for organisations to generate individual-specific profiles, uncovering patterns to produce business and public policy insights.

Big Data brings in a whole new way of thinking – Irish, Business – Independent.ie.

The article has

no responses yet

Written by Guru Kirthigavasan

June 25th, 2012 at 5:33 am

Posted in Big Data

Tagged with , ,

“Big Data” & its Myths – Forbes  

The article has

no responses yet

Written by Guru Kirthigavasan

June 25th, 2012 at 5:13 am