Introduction:
Data is a company’s lifeblood, flowing through all vital systems marketing, sales, manufacturing, HR, finance and all points in between. Enthusiasm for master data management (MDM) is on the rise, which should come as no surprise as the big, expensive ERP, SCM and CRM systems implemented over the past decade deliver value only when fueled by good, accurate, consistent data. These systems generate and/or use exorbitant amounts of data. In just 12 to 18 months, many large businesses double the amount of data generated and maintained, making it increasingly critical and difficult for companies to improve data quality and management and extract its maximum value.
SAP Master Data enables companies to store, augment, and consolidate master data, while ensuring consistent distribution to all applications and systems within the IT landscape. Working across heterogeneous systems at multiple locations, SAP MDM leverages existing IT investments in business-critical data, delivering centralized data management capabilities and enabling organizations to realize maximum value from their core enterprise applications.
This project examines the business drivers for MDM, provides an overview of the SAP MDM solution, outlines how SAP MDM can maximize value from installed ERP, SCM and CRM systems, and reviews the organizational impact of implementing SAP MDM.
Number of Pages of Project Report: 71
Package Includes: Synopsis/Project Proposal + Project Report
Project Format: Document (.doc)
Table of Contents of Project Report:
EXECUTIVE SUMMARY
CHAPTER 1: INTRODUCTION
CHAPTER 2: THEORETICAL BACKGROUND
CHAPTER 3: COMPANY PROFILE
CHAPTER 4: RESEARCH METHODOLOGY
4.1 RATIONALE OF THE STUDY
4.2 STATEMENT ABOUT THE PROBLEM
4.3 OBJECTIVES AND SCOPE OF THE STUDY
4.4 NEED OF THE STUDY
4.5 METHOLODGY TOOLS AND TECHNIQUES
Research design
Data source
Sampling unit
Sampling size
Sampling type
Plan of data analysis
CHAPTER 5: DATA ANALYSIS
FINDINGS
RECOMMENDATIONS
LIMITATIONS
CONCLUSION
BIBLIOGRAPHY
QUESTIONNAIRE
