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Role of Business Analytics in Process Improvement

Rs. 2,500.00



Introduction:

Process improvement
is an aspect of organizational development OD in which a series of actions are taken by a process owner to identify, analyze and improve existing business processes within an organization to meet new goals and objectives, such as increasing profits and performance, reducing costs and accelerating schedules. These actions often follow a specific methodology or strategy to encourage and ultimately create successful results.Process improvement may include the restructuring of company training programs to increase their effectiveness.
Process improvement is also a method to introduce process changes to improve the quality of a product or service, to better match customer and consumer needs.

Process improvement means making things better, not just fighting fires or managing crises. It means setting aside the customary practice of blaming people for problems or failures. It is a way of looking at how we can do our work better.

When we take a problem solving approach or simply try to fix whats broken, we may never discover or understand the root cause of the difficulty. Murphys Law comes into play and our efforts to fix things may actually make things worse.

The importance of business analytics is revealed in a recent Bloomberg survey, which found that BA has been effective in decision making for three out of four enterprises. Among the improvements are increased profitability, reduced cost, faster decision making and critical performance improvements.

Number of Pages of Project Report: 84
Package Includes: Project Report
Project Format: Document (.doc)

Table of Contents of Project Report:
EXECUTIVE SUMMARY
INTRODUCTION
Meaning can be found in data
Creating novel insights through Business Analytics
Big Data Analytics
Embrace of analytics by business executives
Create an environment which is receptive to innovation
Applications of Business Analytics
THEORETICAL BACKGROUND
Application
Importance of Business Analytics
Evolution of Business Analytics
Scope of Business Analytics
Data for Analytics
Challenges
LIETRATURE REVIEW
RESEARCH METHODOLOGY
Objectives of the study
Scope of the study
Sampling Technique Random Sampling
Data collection
Data Analysis method
FINDINGS
RECOMMENDATIONS
LIMITATIONS
CONCLUSION
BIBLIOGRAPHY

 


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