IBM has announced new predictive analytics software that automatically correlates and analyzes big data to help clients embed hyper-intelligence into every business decision. In addition to generating insights on internal data in a matter of seconds, the software measures the impact of social networking channels and factors this information into organizational decision making.
The software represents a new class of Decision Management capabilities that revolutionizes the way organizations gain, share and take action based on information gathered as part of business processes such as marketing, claims processing and fraud detection. In these, and other data-rich areas — where anywhere from a thousand to five billion decisions are made daily — the software will put forward the next best action to front-line employees ensuring optimal interactions and outcomes.
Companies across all industries are increasingly under pressure to drive immediate and repeatable results with fewer resources, react more swiftly to rising customer demands, and gain faster insights on business data. These pressures are challenging organizations to strengthen their approach to decision making, and forcing organizations to act not only corporate policy and gut instinct.
For example, according to a Columbia Business School Center Global Brand Leadership repot, 90 percent of senior corporate marketers believe that successful brands use customer data to drive marketing decisions. Yet 50 percent say that a lack of sharing customer data within their own organization is a barrier to effectively measuring their marketing efforts.
“In today’s marketplace, when a customer says they’re not happy, companies must decide how to react — not later that day, or in an hour, but instantly,” said Deepak Advani, vice president business analytics products and solutions, IBM. “With these new technologies, winning organizations can embed analytics into under-served areas of their business, empowering all employees to make information based decisions.”
The new Analytical Decision Management software, part of a series of IBM Smarter Analytics initiatives, helps clients apply automated, real-time analytics into any operational data no matter where it resides, and instantly analyze it to uncover trends and expose hidden paths to growth. As a result, insights can now be automated, socialized and used for predictive decision making.
In a single platform, IBM has combined the power of business rules, predictive analytics and optimization techniques through intuitive interfaces that allow users to focus on specific business problems. The resulting decision can be consumed by existing pre-packaged or custom-built applications, including many applications on the mainframe. The platform also takes advantage of IBM InfoSphere Streams technology where big data can be analyzed and shared in motion, providing real-time decision making in environments where thousands of decisions can be made every second.
IBM is also extending the powerful analytical functionality with the inclusion of its newest Entity Analytics capabilities. For the first time, businesses can take advantage of Entity Analytics as part of the Decision Management Platform. This feature, especially well suited for big data environments, is a unique analytics engine that enables identification and matching for all entities — people, places, or things — making systems smarter as more information becomes available. Unlike traditional methods, the IBM Entity Analytics capabilities are context based and accumulate knowledge, resulting in a more accurate picture, better models, and better outcomes. This ability to understand how the data is related delivers higher quality models and helps to ultimately produce smarter decisions.
A new social network analytics feature enables companies to take sentiment analysis a step further by analyzing who the influencers are around any given topic, who exactly is listening, and why people should care. This feature enables decision makers to factor in how customers behave, what they say, and how big their sphere of influence is in a social network. For example, which other customers does this person know? Does this person influence others in their social network? The ability to incorporate social network analytics into the predictive models used in Analytical Decision Management helps organizations identify social leaders who can influence behavior.