IBM's Watson Analytics offers new data discovery tools for everyday business users

Marc Ferranti

IBM's Watson Analytics platform offers a Weather Company 'Expert Storybook' data model
The Weather Company's new Expert Storybook data discovery model in IBM's Watson Analytics is  lets users blend weather data with other business data to understand how weather is affecting their business. This model shows the weather's impact on beer sales. Credit: IBM

If you're trying to figure out an optimal fantasy baseball lineup, how an unusually cool summer affected beer sales, or what Twitter users can tell you about why your company's stock price tanked, then IBM's Watson Analytics team has something new for you.

Pushing forward in the race to get analytics tools into the hands of non-technical users, IBM  unveiled Wednesday new offerings in its Watson Analytics line: data-discovery models called Expert Storybooks, new connectors to a range of data sources and more secure connections to corporate data.

At a New York event showcasing partners and applications, IBM officials are set to make the case that cognitive computing-based Watson Analytics has momentum. More than 500,000 people have registered to use Watson Analytics tools in the 10 months that they have been generally available, IBM says.

Many of those 500,000 registered users are not paying, however, but rather checking out the free tools IBM is offering. The free offerings are meant to highlight how, by moving analytics to a self-service, cloud-based model, business users can streamline analysis projects without investing in expensive and complex tech infrastructure.

"It's all about the end users, it's all about the line of business users, the marketing pro, the sales pro, and giving them capabilities they've never had before in one common easy to use experience," said John Colthart, product design leader at IBM Watson Analytics.

New Analytics services include a variety of Expert Storybooks, created with help from business partners. The Storybooks are essentially data discovery models producing sophisticated visualizations to help users find relevant facts and discover patterns and relationships to make predictive decisions. 

With baseball statistics from AriBall, for example, Watson Analytics is offering an Expert Storybook to build predictions of player performance for users to get an edge against their fantasy baseball competitors. A Storybook built with The Weather Company is designed to help users incorporate weather data into revenue analysis; a Twitter Storybook helps analyze social data to, among other things, measure reputational risk.

The free Storybooks have limits on file sizes and how much user data they can store, but users can consult with IBM or its partners to get expanded capabilities on a paid basis.

New data connectors are designed to give Watson Analytics users access to a wider range of sources, including Amazon Redshift, Apache Hive, Box, and Cloudera Impala

1  2  Next Page