Big Data & Analytics in Manufacturing

Mueller, Inc. Using advanced analytics to transform a business model.

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© IBM Corp. 2014.

Companies must adapt and remain agile to stay ahead

of the competition.

The key to survival is embracing data and using it

to drive change.

This U.S.-based producer of prefabricated steel wanted to shift

its business strategy from manufacturing to retail.

Case Study: Mueller, Inc.

How did they do it?They developed a better understanding of their operations.

The Challenge:

Mueller needed a customer-focused approach to sales and more data transparency so information could easily

be shared throughout the company.

IBM Cognos® Business IntelligenceIBM Cognos TM1®

IBM SPSS® ModelerIBM Business Analytics Software Services

The Solution:

Mueller used analytics to empower all employees to view and analyze company data in near real time, measure individual performances and

assess how their work affects the bottom line.

Solution Components:

This solution pulls data from all points of sale, inventory and ERP systems, and

pushes that information to the employees.

As a result, Mueller realized a 113% ROI, with improved performance, insight

and fraud detection and prevention.

Mueller transformed into an information-driven enterprise and

established itself as a market leader.

IBM Big Data & Analytics can help you get more value out of your existing investments by lowering

operational costs, improving margins and reducing fraud.

Find a solution that works for your business.

ibm.com/bigdata-and-analytics

Read the full case study.

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