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IBM Introduces Powerful Analytics for Everyone


ARMONK, N.Y. - 16 Sep 2014: Making its biggest announcement in a decade as leader in analytics, IBM (NYSE: IBM) today announced Watson Analytics, a breakthrough natural language-based cognitive service that can provide instant access to powerful predictive and visual analytic tools for businesses. According to analysts, only a small fraction of business people use powerful analytics tools as part of their decision making today1. Watson Analytics is designed to make advanced and predictive analytics easy to acquire and use.

The first release of Watson Analytics will include a freemium version of its cloud-based service designed to run on desktop and mobile devices. Watson Analytics offers a full range of self-service analytics, including access to easy-to-use data refinement and data warehousing services that make it easier for business users to acquire and prepare data – beyond simple spreadsheets – for analysis and visualization that can be acted upon and interacted with.

 

IBM Watson Analytics uses natural language to make interaction with powerful, predictive analytics easier with the ability to understand key questions, such as:

What are the key drivers of my product sales?

Which benefits drive employee retention the most?

Which deals are most likely to close?

Unlike analytics offerings designed primarily for data scientists and analysts predominantly focused on visualization, IBM Watson Analytics automates steps like data preparation, predictive analysis, and visual storytelling for business professionals across data intensive disciplines including marketing, sales, operations, finance and human resources.

Three key innovations can greatly reduce the skills required to engage in advanced analytics:

  • Single Business Analytics Experience – Unlike today’s separate analytics tools designed for different kinds of analysis and data tasks, Watson Analytics is a seamless, unified experience that brings together a set of self-service enterprise data and analytics capabilities on the cloud. Business professionals identify their problem, and Watson Analytics can help them source the data, cleanse and refine it, discover insights, predict outcomes, visualize results, create reports or dashboards, and collaborate with others.

  • Guided Predictive Analytics – Watson Analytics features the use of predictive analytics to surface key relevant facts and uncover unforeseen patterns and relationships. This process sparks new questions and better insight, directing users to parts of their business that matter most.

  • Natural Language Dialogue Watson Analytics speaks the language of business and people by enabling someone to simply type in what they would like to see; Watson Analytics produces results that explain why things happened and what's likely to happen, all in familiar business terms. And as business professionals interact with the results, they can fine-tune questions to get to the heart of the matter.

“Watson Analytics is designed to help all business people – from sales reps on the road to company CEOs – see patterns, pursue ideas and improve all types of decisions,” said Bob Picciano, Senior Vice President, Information and Analytics Group, IBM. "We have eliminated the barrier between the answers they seek, the analytics they want and the data in the form they need. The combination of Watson-fueled analytics to magnify human cognition, the vast potential of big data, and cloud-scale delivery to PCs, smart phones and other devices is transformational.”

Designed with simplicity and ease of use in mind, business users can gain instant access to persona-based business scenarios specific to their role. Instead of fumbling over data, searching for answers or testing hypotheses, the user can focus on understanding the business and effectively communicating results to stakeholders.

Most analytic offerings assume users have data ready for analysis, a clear idea of the type of analysis needed, and the skills and time to build a model for analysis. However, most business users have none of these things. Finding and validating data can represent 50 percent or more of the time in an analysis project.2 Business users often then struggle with figuring out what analysis would be relevant and how to tell the story in a report or diagram. Watson Analytics automates these steps to accelerate users’ ability to get to the answers they’re seeking, quickly and on their own.

Watson Analytics also incorporates natural language processing so business users can ask the right questions and get results in terms familiar to their business that can be read and understood or interacted with. As users interact with the results, they can fine-tune their questions and the data to surface the most relevant facts and uncover unforeseen patterns and relationships, which will enable predictive decision making for all levels of users.

Watson Analytics delivers a unified analytics and data experience on the cloud. Like other IBM Cloud solutions, it will be hosted on SoftLayer and available through the IBM Cloud marketplace.

IBM also intends to make Watson Analytics services available through IBM Bluemix to enable developers and ISVs to leverage its capabilities in their applications.

Certain Watson Analytics capabilities will be available for beta test users within 30 days, and offered in a variety of freemium and premium packages starting later this year. For more information, visit: ibm.com/watsonanalytics.

 

Note to journalists and bloggers: You can view and download a video and photo on Watson Analytics by clicking here. The video is available in HD, standard definition broadcast and streaming quality. Additional screenshots and images are available at https://ibm.biz/WA-home.

1 Source: IDC and Computerworld's Annual Business Analytics Survey, June 2013

2 Unisphere Research, "Governance Moves Big Data from Hype to Confidence," 2014

Contact(s) information

Faye Abloeser
IBM Media Relations
1 (917) 472-3526
abloeser@us.ibm.com

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Watson Analytic uses natural language, which means business professionals across data intensive disciplines such as marketing, sales, finance, operations and human resources can ask the right questions and get results in terms familiar to their business. (Credit: IBM)

Watson Analytics uses predictive analytics to automatically surface the most relevant facts and uncover unforeseen patterns and relationships. This process can spark new questions and better insight, directing users to variables or parts of their business that matter most. (Credit: IBM)

By automating data preparation, predictive analysis, and visual storytelling, business professionals across data intensive disciplines like sales and marketing can ask the right questions and get results in terms familiar to their business with Watson Analytics. (Credit: IBM)

Business professionals can quickly understand and make decisions based on Watson Analytics’ data-driven visualizations. For example, a marketing executive can ask a question, and immediately discover through cloud-delivered data visualizations what sales are most likely to close by region. (Credit: IBM)

Watson Analytics features a seamless, unified user interface that brings together a complete set of self-service enterprise data analytics capabilities on the cloud. (Credit: IBM)

At an event at the Westin Hotel in New York City, IBM Big Data and Analytics Vice president Inhi Cho Suh demonstrates Watson Analytics, a new cloud service the company launched today that is powered by IBM's Watson cognitive computing technology. Watson Analytics allows non-technical professionals in marketing, sales, finance and human resources roles to make more informed business decisions by analyzing huge volumes of data using familiar business terms instead of technical jargon. (Jon Simon/Feature Photo Service for IBM).

At an event at the Westin Hotel in New York City, IBM Big Data and Analytics Vice president Inhi Cho Suh demonstrates Watson Analytics, a new cloud service the company launched today that is powered by IBM's Watson cognitive computing technology. Watson Analytics allows non-technical professionals in marketing, sales, finance and human resources roles to make more informed business decisions by analyzing huge volumes of data using familiar business terms instead of technical jargon. (Jon Simon/Feature Photo Service for IBM).

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