KM/Storage / Features

Whether it's local or from the Web, there are several ways to get data into R for further work.

Microsoft Power BI provides organizations with self-service business intelligence tools that allow users to analyze, visualize and share data using the familiar Microsoft Excel spreadsheet. Here are 12 success stories built on Power BI.

Retirement wealth manager TIAA built an analytics system to gauge how its digital services are performing in real time, giving IT an immediate pulse on how consumers are responding to them.

Real-time analytics on transactional data -- combined with historical and other data -- help the home shopping retailer respond to trends in the moment.

Arccos Golf is leveraging the data generated by its golf performance tracking system to provide a subscription-based artificial intelligence caddie to help golfers make data-driven decisions on the course.

MapR Edge is a new small footprint edition of the MapR Converged Data Platform geared for capturing, processing and analyzing data from internet of things devices at the edge.

Allstate’s Arity spin-out has embraced an analytics-based platform strategy similar to those used by the likes of Uber and Lyft.

Experian is quickly crunching massive amounts of data and making it available to customers thanks to the open source software as well as microservices and API technologies.

Software that detects and alerts companies to anomalous behavior are on CIOs' purchase lists for the New Year, when spending on cybersecurity tools is expected to increase.

Colleges and universities are sifting through reams of data in search of ways to bolster graduation rates.

Successful gaming apps appeal to neurotransmitters in our brains that make us feel happy and connected -- and make us want to come back for more. It’s possible to design to business applications and activities that have the same effect.

Few fields change as fast as digital. New channels, new methods, new business models — and all of it demands new methods of measurement and analytics. As new technologies and practices disrupt the field, digital analytics practitioners adapt. In any given year, a few themes dominate, and right now, the topics dominating discussion at the enterprise digital analytics table are four P’s: prioritization, personalization, people and perspective.

Combining LinkedIn’s business identity and relationship graph with Microsoft’s commercial cloud and business analysis tools makes a lot of (dollars and) sense.

Google Analytics can tell you virtually anything you want to know about your site visitors, organic SEO efforts and pay-per-click ad campaigns. A set of digital marketing and online metrics experts shares advice on how to use GA data to increase sales and boost revenue.

The relational database company's upcoming MariaDB ColumnStore is a columnar storage engine for massively parallel distributed query execution and data loading, supporting use cases ranging from real-time to batch to algorithmic.

Toyota Financial Services' Collection Treatment Optimization (CTO) program helps its collections agents optimize which borrowers to call to help reduce delinquencies and keep customers in their vehicles.

Arrow is designed to serve as a common data representation for big data processing and storage systems, allowing data to be shared between systems and processes without the CPU overhead caused by serialization, deserialization or memory copies.

Can you watch your business as it works without slowing it down? The right collaboration and reporting tools can give you a real-time picture of what’s happening inside your business, without all the manual reporting.

Five industry insiders predict the trends that will shape the big data and analytics market in 2016.

Bob Rogers, chief data scientist with Intel's Big Data Solutions, says that rather than seeking out rare individuals who excel in all the areas that encompass data science, CIOs should build data science teams with complementary talents.