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mPrizm enables Industrial Manufacturing firms to rationalize their IT portfolio and as a result cut down costs and streamline their processes

mPrizm enables Industrial Manufacturing firms to rationalize their IT portfolio and as a result cut down costs and streamline their processes

Abstract

As with most other industries, Industrial Manufacturing firms have also, in course of time, invested heavily in IT applications to support and run their businesses efficiently. Unfortunately for some, many of their IT applications landscapes are now suffering from gross redundancy. Not only do these applications support similar functions, they also bring about unnecessary duplication of information and processes. Add to that, these firms currently spend fortunes to support and run, as they say, such 'white elephants'.

The practice of Application Portfolio Optimization attempts to control application costs by identifying duplication and redundancy in the client's IT landscape. HCL's ROI based APO framework called mPrizm helps Discrete Manufacturing customers to address their Legacy IT and Application Portfolio Optimization issues using the tried and tested methodologies.

Excerpts from the Paper

mPrizm was developed to provide the IT decision makers of the discrete  manufacturing  companies,  a  solution  that  provides them  complete  knowledge  of  IT  applications  portfolio landscape at their fingertips. The tool assess the IT applications based on their business coverage, the technical strength, process maturity and long term direction of IT organization and classify  them  into  'maintain',  'integrate',  'migrate'  and 'eliminate'. It also depicts such assessment in the form of user friendly and configurable reports and dashboards. The tool also serves as a repository enabling navigation among distributed sources of IT information. It helps such companies in  identifying  and  analyzing  relationships  amongst  business processes, applications, infrastructure and databases. The tool facilitates  mapping  of  business  functionality leading to easy identification of gaps and duplication.

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