Monthly Archives: July 2013

In July, there were countless new intriguing developments in the world of analytics. Here's a look at five major ones.

Rather than spend time and money working toward murky standards of quality, certain companies choose instead to act on “the assumption of quality,” hoping that the information they’ve gathered in the first place is already accurate.

Retailers are already well aware that data analytics can help them improve their marketing strategies and attract new customers. By analyzing their target demographics, companies can find better ways to entice consumers. The more challenging endeavor, though, is improving the relationships that retailers have with already existing customers.

Big data could save Washington boatloads of cash, but in order to see any of those savings, Congress must first spend a significant amount on ramping up its IT capabilities.

By examining more data and looking for trends, the government can prevent identity theft and fraud.

Grad schools have begun offering degrees in big data, enabling students to gain the necessary skills to become data scientists at a young age.

In addition to taking significant steps forward, corporate chief financial officers can also use data to avoid taking great risks.

The latest trend in big data is using it to improve customer service.

Data quality is important in every corner of the business world, but in retail, it's a particularly salient issue because consumers today demand speed.

Schools have a lot of information on each student, thanks to applications for admission and financial aid. If they take it and perform as much analysis as possible, they can find a lot of trends that will help them make better decisions about how to educate students.