IBM is pushing new predictive analytics solutions into multiple vertical markets -- including retail, banking, telecommunications and insurance. The effort also includes close working relationships with such analytics-centric consulting companies including Deloitte and Interactive Data Managed Solutions.

The 20 new IBM solutions include "pre-built predictive analytic modeling patterns and interfaces for focused industry use cases, as well as data preparation capabilities to manage unique data and streamline collection and preparation of data for analytics," IBM stated.

Potential use cases, according to IBM, include:

  • Banks can use customer spending patterns to predict financial and life events and deliver more relevant offers.
  • Retailers understand the potential overall revenue impact of individual products and product lines to make smarter decisions about what products to carry and how to best promote them.
  • Wealth management firms can understand behaviors associated with higher profit clients to determine who they should target and how to drive increased activity.
  • Oil & gas companies can reduce high costs associated with inspections and maintenance of submersible pumps to predict outages before they occur and optimize production.
  • Media & entertainment companies can better understand their audience and viewing behaviors to deliver advertisers higher value micro-segment targeting capabilities.

The IBM announcements come on the same day that Salesforce unveiled an "analytics for the rest of us" push -- which aims to empower everyday business users with big data tools.

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