Data & Analytics

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Love, Analytics and The Biology of You at Work

Image courtesy of Flickr user barbtrek

Romantic love, big data analytics and…your personality at work? There is a correlation. And understanding it could help you communicate better with colleagues, bosses and clients. And get ahead.

A biological anthropologist and professor at Rutgers University, Helen Fisher has studied romantic love for thirty years.

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Sensing the Future Before It Occurs

GE believes companies will boost productivity and profits by using intelligent sensors and analytics to predict when parts and manufacturing lines will fail. This will smooth operations and accelerate product development. GE is investing in its operational use of intelligent sensors and hiring software developers to create better algorithms for analyzing huge amounts of data. William Ruh, head of GE’s global software development center, discusses the reasons behind GE’s investment in new technologies and why it thinks these will transform the global economy.

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Can Sensors Fuel Productivity Growth?

The Internet Revolution has so far not produced the kind of long-term productivity growth seen during the Industrial Revolution. Digital technology drove U.S. productivity growth above three percent annually only between 1996 and 2004. Since then, productivity has fallen to about 1.6 percent a year. General Electric argues that productivity growth will jump again as the industrial Internet emerges, connecting machines like turbines and jet engines to factories, and using analytics to make better decisions about maintenance and production.

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Video: Big Data and Analytics Right Now

Erik Brynjolfsson, director of the MIT Center for Digital Business, talks about the big data revolution with Tom Davenport, who helped get that revolution started with his seminal article “Competing on Analytics.” Their discussion illuminates what’s different about big data and how big data is changing management and the way businesses run.

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Business Quandary? Use a Competition to Crowdsource Best Answers

Top data scientists often share three characteristics: they are creative, they are curious and they are competitive. Anthony Goldbloom, CEO of Kaggle, a company that hosts data prediction competitions, has figured out how to tap all three of these characteristics to help companies crowdsource their analytics problems.

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Image courtesy of Flickr user kk+.

Location Analytics: Bringing Geography Back

Remember geography lessons in school, painstakingly memorizing the longest rivers, cultures of various regions, the state capitals? For most of us, those lessons are in the past. But in the world of big data analytics, geography is making a comeback.

The relatively new market of location analytics is expanding the uses of more traditional geographic information system (GIS) technology to include social, geographic, physical and emotional indicators that help organizations better predict trends

Veronika Belokhvostova, head of Global Business Analytics at PayPal.

Mining Data at PayPal to Guide Business Strategy

“The kind of people we hire want to know that their work is not gathering dust on some shelf, but has a real impact on the company,” says Veronika Belokhvostova, head of Global Business Analytics at PayPal. And indeed, business analysts there are collaborating with business leaders to answer the “what should we do next?” question.

Image courtesy of Flickr user igormazic.
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Data Analytics and the Information Transfer Gap

Most companies seem to be better at collecting data than using what they collect to create value. As companies increase the amount and variety of data they collect, the gap between data collection and insight generation may increase. This blogpost highlights several hurdles that need to be overcome to bridge this gap.

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Innovating With Analytics

A data and analytics survey conducted by MIT Sloan Management Review in partnership with SAS Institute Inc. found a strong correlation between the value companies say they generate using analytics and the amount of data they use. The creators of the survey identified five levels of analytics sophistication, with those at Level 5 being most sophisticated and innovative. These analytical innovators in Level 5 had several defining traits. This article explores those traits.

Jeanne Ross, director of the MIT Sloan Center for Information Systems Research

Do You Need a Data Dictator?

Some companies have a counting problem when it comes to data. Revenues, customers and leads can be counted the same way by all managers…or not. Director of MIT’s Center for Information System Research discusses the growing interest in data analytics and how one company that was in the red dealt with business unit heads all of whom were reporting profits.

Image courtesy of Flickr user KJGarbutt.

Finding Value in the Information Explosion

Today’s companies process more than 60 terabytes of information annually, about 1,000 times more than a decade ago. But how well are companies managing the data and capitalizing on the opportunities it presents?

To answer these questions, seven IT research centers studied data-related activities at 26 corporations and large nonprofit organizations. The research shows that while the IT unit is competent at storing and protecting data, it cannot make decisions that turn data into business value.

Showing 61-80 of 125