Data Analytics and Decision Support in the context of ERP and beyond for giving CSIR a Competitive advantage – two case studies from HR (Human Resources) and MM (Materials Management) Modules.
IR@NML: CSIR-National Metallurgical Laboratory, Jamshedpur
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| Relation |
http://eprints.nmlindia.org/6896/
http://eprints.nmlindia.org/6896 |
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| Title |
Data Analytics and Decision Support in the context of ERP and beyond for giving CSIR a Competitive advantage – two case studies from HR (Human Resources) and MM (Materials Management) Modules.
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| Creator |
Singh, Nalin K
Roushan, R K S |
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| Subject |
Management
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| Description |
The evolution of data is a natural corollary of the evolution of CSIR as an organization. Big data offers
challenges as well as opportunities. ERP is an important milestone as a decision intervention towards transformation of CSIR. It is an integrated, fast and transparent enterprise level solution which overcomes
unnecessary duplicity and the problem of silos. It has inbuilt data analytics which leads to decision support. The paper emphasizes upon the need for complementing ERP with other data bases, use of data
mining and data analytics to produce Business Intelligence to provide decision support. In today’s cut throat competitive environment, decisions should be based on facts and not on intuitions and beliefs. The paper gives many illustrations and details to processes of GPF and vendor management for developing analytics framework and show how it leads to vital decisions which make an impact.
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| Date |
2013-05
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| Type |
Conference or Workshop Item
PeerReviewed |
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| Format |
application/pdf
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| Language |
en
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| Identifier |
http://eprints.nmlindia.org/6896/1/RKS_Roushan-Paper-2013.pdf
Singh, Nalin K and Roushan, R K S (2013) Data Analytics and Decision Support in the context of ERP and beyond for giving CSIR a Competitive advantage – two case studies from HR (Human Resources) and MM (Materials Management) Modules. In: National Conference on Modeling Design Solutions for technology Development and decision support, May 10, 2013, CSIR-NISCAIR. |
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