Analytical Solution

http://Analytical-Solution.com

Big Data Pays Off Big Time, Survey Says — ADTmag

See on Scoop.it - Data Nerd’s Corner
Organizations that have actually implemented Big Data projects report “overwhelming satisfaction” with the results and most believe the tool may be a matter of corporate life or death in the future, according to a new survey from Accenture Analytics.

Carla Gentry CSPO's insight:

Security, as usual, was listed as the No. 1 challenge to implementing Big Data projects


See on adtmag.com

A Spock in every boardroom

See on Scoop.it - Data Nerd’s Corner

The television show Star Trek gave us much to look forward to: teleporting, food

Carla Gentry CSPO's insight:

But all this changed with Google, which served as a role model for how data science research could not only be better conducted, but also how specific kinds of data could be more efficiently collected, understood and used to help businesses, says Howard. In particular, the company developed a software technique for processing huge troves of data called MapReduce, which broke tasks into many smaller components to perform among multiple machines,” says Kenneth Cukier, Data Editor for The Economist.


See on english.alarabiya.net

Five brands successfully embracing the ‘internet of things’

See on Scoop.it - Data Nerd’s Corner

Five brands successfully embracing the ‘internet of things’, As marketers wake-up to the potential of making previously dumb products smart, Andy Hobsbawm, co-founder and chief marketing officer of ‘web of things’ company Evrythng, picks out five brands which have seized this smart shift and successfully innovated. | Marketing Magazine

Carla Gentry CSPO's insight:

Let’s look at five brands embracing the Internet of Things to create new products and service models or connect existing things to the web in different ways to boost sales, consumer engagement, and operational effectiveness.


See on marketingmagazine.co.uk

If you share data online, you become a guinea pig

See on Scoop.it - Data Nerd’s Corner

In person, Christian Rudder is mild-mannered. In his official capacity as president of the irreverent dating site OkCupid, though, he likes to be provocative. The job allows Rudder, a 39-year-old Harvard University math graduate, to study the calculus of human attraction.

Carla Gentry CSPO's insight:

This kind of limitless data-mining is possible because most sites, including OkCupid, have use policies that give them unfettered rights to harness users’ details for research and product improvement.


See on dispatch.com

Guest: The slide toward an impulse society, thanks to big data and Amazon.com

See on Scoop.it - Data Nerd’s Corner

Thoughtful consumerism isn’t so easy these days — in many ways, it’s getting harder as the marketplace gets better at targeting what shoppers want, writes guest columnist Paul Roberts.

Carla Gentry CSPO's insight:

But that cynicism is itself, in essence, a part of the marketing that we can reject. Consumers can push back against those bottom-line values and restore values that support the real, long-term needs of our communities and our citizens. Sure, the consumer marketplace will keep trying to make it easier to think small and short-term to undermine our own interests. (Imagine the sky filled with delivery drones.) But we can choose a different outcome. We can resist the click.


See on seattletimes.com

What is Data Science – Again?

See on Scoop.it - Data Nerd’s Corner

A look at some disparate definitions of data science

Carla Gentry CSPO's insight:

In his not-to-be-missed blog, Schutt’s adviser at Columbia, noted statistician Andrew Gelman, is even more unabashed in chronicling differences between data science and statistics. “There’s so much that goes on with data that is about computing, not statistics. I do think it would be fair to consider statistics (which includes sampling, experimental design, and data collection as well as data analysis (which itself includes model building, visualization, and model checking as well as inference)) as a subset of data science…..The question then arises: why do descriptions of data science focus so strongly on statistical tasks? (As Schutt and O’Neil write, “the media often describes data science in a way that makes it sound like as if it’s simply statistics or machine learning in the context of the tech industry.”) I think it’s because statistics is the fun part and the part that, in this context, is new. The tech industry has always had to deal with databases and coding; that stuff is a necessity. The statistical part of data science is more of an option. To put it another way: you can do tech without statistics but you can’t do it without coding and databases.” A second Gelman blog, Statistics is the least important part of data science, reiterates these points.


See on information-management.com

Data Driven: What Amazon’s Jeff Bezos Taught Me About Running a Company

See on Scoop.it - Data Nerd’s Corner

A former employee of the retailer reflects on the lessons learned from the boss of the web giant.

Carla Gentry CSPO's insight:

Metrics define your corporate culture. More than anyone I’ve ever met, Bezos knew that things don’t improve unless they’re measured. At Amazon, everything that can be measured is. Every piece of data is tested and analyzed — not just web design or product features, but finance, HR and operations processes.


See on entrepreneur.com

Human Interaction: the Missing Link Between Big Data, Devices & Apps - A Smarter Planet Blog

See on Scoop.it - Data Nerd’s Corner

By Kevin Parent I’ve devoted my career to telling stories with technology. Part of that decades-long work has focused on improving the ways in which humans interact with machines. Along the way, two things have become clear. First, the things that computers and humans are good at are complementary, not duplicative. While machines are steadily …

Carla Gentry CSPO's insight:

Attempts to integrate disparate systems have invariably been resource-intensive, prone to failure and non-scalable to new applications. Relying on analysts to retrieve data introduces lag time between question and response. Analytics programs and dashboards provide information that’s valuable, but can be narrow in scope.

But it doesn’t have to be this way. Instead using technology to generate ever-more overwhelming amounts of data, new technologies can help people use data in a way that is much more like telling a story than running a regression.


See on asmarterplanet.com

C-Level Executives Seeing Big Results From Big Data

See on Scoop.it - Data Nerd’s Corner

A study by Accenture finds that many organizations are putting big data initiatives into production and the vast majority of those that do are pleased with the results.

Carla Gentry CSPO's insight:

Between February and early April 2014, Accenture screened more than 4,300 CIOs, COOs, CMOs, CFOs, chief data officers (CDOs), chief analytics officers (CAOs) and other senior technology, data and analytics leaders from companies in 19 countries and across seven industries. Of that number, 36 percent said their company had not completed and weren’t currently pursuing a big data installation and four percent said their organizations were in the process of implementing their first big data project. Of the remaining 2,600 respondents that had applied big data to their businesses, Accenture focused on a sample of 1,007 executives.


See on cio.com

Expertise with SAS/R/Python | SmartData Collective

See on Scoop.it - Data Nerd’s Corner

Currently R, SAS and Python are the three languages ruling the analytics industry. Expertise in at least one of the three language is a must to build a competitive profile. But mastering only one language might not make you a hot selling property.

Carla Gentry CSPO's insight:

Even if you are not an expert in each of the three languages, you need to know what is the arena of strength for the three languages. In some of our previous articles, we covered interview questions in R (here)and SAS ( here)


See on smartdatacollective.com