business intelligence - News, Features, and Slideshows

Features

• IoT analytics brings new levels of innovation to new product development

  Studies show that around 40% of products fail. But what if product designers could understand what features are most and least popular, which components tend to fail sooner than others, and how customers actually use products versus how designers think they use them? And, what if product developers could then utilize these insights to develop products that perform better, potentially cost less and, most importantly, are aligned with actual customer needs?

• Big data companies argue their case at Demo Traction

  The recent Demo Traction event showcased a host of young companies that are gaining market momentum.  Each gave their pitch and then answered to a panel of judges.  If it is important for you to stay on the up and up with emerging technologies, this is must watch stuff.

• How financial service firms use big data to meet business goals

  Most financial service firms, which includes banking and insurance companies, are engaged in a big data project to increase the pace of innovation and uncover game-changing business outcomes. The pressing challenge now is how to drive more continuous value and unearth opportunities more rapidly. 

• Cloud BI: Going where the data lives

  Historically, cloud BI has been mostly used by smaller businesses, but larger enterprises are starting to make the trek.

• Amazon's Fire phone is 'Prime' example of customer first

  With its new Fire Phone, Amazon is primarily interested in connecting to its 250 million Amazon and Prime customers with a phone that makes it quick and easy to shop over the Web.

• Predictive data, the real workhorse behind the Internet of Things

  Companies are having to be pickier about which data sets they collect, process and use. It's all about having the right architecture in place.

• University CIO helps boost graduation rates with analytics

  Brian A. Haugabrook, interim CIO at Valdosta State University in Georgia, deployed analytics tools that enable faculty and staff to identify students who need extra help. The effort paid off with higher graduation rates.

• Data manipulation tricks: Even better in R

  Some Excel tips and tricks for manipulating dates, and for getting data into the format you need, are also ready for your R pleasure.

• Government open data proves a treasure trove for savvy businesses

  Ever since President Obama signed the Open Data Executive Order, government agencies have been making their vast data stores available to the public. These once-secret data sets are proving a valuable business resource, too.

• R resources at Computerworld

  From a beginner's guide to data-wrangling how-to and searchable collection of additional tutorials and videos, we've got you covered.

• 7 things marketing wants to say to IT

  Attention, IT: As marketing goes all-digital, your CMO needs more from you than back-office support. Are you ready to be a marketing partner?

• How analytics helped Ford turn its fortunes

  Big data and analytics permeate virtually every move Ford makes, from forecasting the worldwide price of commodities to figuring out what exactly consumers want, what it will build, where it should source parts and how to power its lineup of vehicles.

• How to extract custom data from Google Analytics

  Not happy with the Google Analytics interface? We show you how to use a programming language like R to bypass Google Analytics and retrieve the data you want.

• Amazon: New analytics tool can scrutinise massive amounts of data

  Amazon Web Services this week rolled out a new cloud-based data analytics tool named Kenesis, which can analyze massive amounts of data in real time and be paid for by the hour.

• Big data blues: The dangers of data mining

  Companies are taking matters into their own hands with internal controls, open privacy policies, ethical codes and greater candor over how they're collecting and parsing personal data. But many wonder whether it's enough to allay consumers' fears as techniques for manipulating data multiply.