IBM Predictive Analytics System Averts Supply-Chain Disruptions

By Darryl K. Taft  |  Posted 2013-03-22 Print this article Print

IBM also offered the example of one of its auto manufacturer customers that was looking to improve its production quality. With IBM analytics, the auto manufacturer was able to use real-time data to monitor production quality and more quickly identify and resolve issues. As a result, the company reduced the rate of defects in the production of cylinder heads by 50 percent in 16 weeks and increased customer satisfaction.

Also, another global manufacturing company was looking to more quickly detect part defects, IBM said. Through IBM analytics, the company implemented an early-detection model and is now saving $130 million on warranty costs per year.

And, IBM said, a regional utility company that needed to maintain an aging infrastructure implemented IBM predictive analytics technology into its supply-chain processes and can now detect potential problems before they occur. Additionally, the utility company has seen 20 percent productivity gains for service trucks and up to 20 percent reduction of fuel costs due to fewer truck rolls, IBM said.

"Analytics technology gives us valuable insight into trends and what we can expect in the future," Michael Hausser, director of asset management and supporting services for the Transportation and Public Works Department of the City of Cambridge, said in a statement. "We were heading toward a point where reliability of service would be reduced, and we'd be beyond our resource capacity to re-actively resolve issues in a timely manner. We are in transition to be more proactive and gain efficiencies in day-to-day maintenance management activities."

The Predictive Asset Optimization solution is implemented by IBM business consultants, supported by applications management services capabilities, and cloud offerings. These capabilities are supported by IBM's big data platform, which includes Hadoop, stream computing, data warehouse, and information integration and governance capabilities, along with visualization and discovery, application development, systems management and industry accelerators.

To date, the IBM big data platform has been adopted by more than 100 business partners, bringing a new class of analytics solutions to market and extending the reach of IBM analytics offerings for clients.

Moreover, the new solution will be one of the first capabilities offered to clients at the new Advanced Analytics Center in Columbus, Ohio. Credit-qualified clients can take advantage of financing for services solutions and zero-percent loans for IBM software with IBM Global Financing.

IBM Signature Solutions are a portfolio of outcome-based analytic offerings that include fraud-detection, financial-optimization and customer next-best action solutions. They are built by IBM's team of researchers, software developers and business consultants.

These new capabilities are part of IBM's larger focus on big data and analytics that spans hardware, software, services and research. IBM has completed more than 30,000 analytics client engagements and projects $20 billion in business analytics and big data revenue by 2015.

IBM has established a deep portfolio of analytics solutions, deploys 9,000 business analytics consultants and 400 researchers, and has acquired more than 30 companies since 2005 to build targeted expertise in this area. Big Blue has established a global network of nine IBM Client Centers for Smarter Analytics and goes to market with more than 27,000 IBM business partners.


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