Generating Key Performance Indicators Through Data Harmonization

This report focuses on the harmonization and consolidation of initial quality data (IQW) to generate Key Performance Indicators (KPIs) within the automotive industry. It begins by outlining the research aim, objectives, and research questions, emphasizing the importance of IQW in measuring vehicle ownership problems and assessing customer reviews. The report then reviews literature on IQW, data harmonization, data consolidation, and key performance indicators, highlighting the benefits and issues associated with each. The research methodology includes a detailed discussion of the problem statement, planning, research methods, research philosophy, research approach, and research design, including the utilization of research onion. The report presents a waterfall chart and delta method for predicting and analyzing the harmonized and consolidated data and generates KPIs for the automotive market. The report also discusses data collection methods (primary and secondary) and data analysis techniques, including KMO and Bartlett's test. The report concludes by emphasizing the need for data harmonization and consolidation to improve organizational processes and customer satisfaction.

Harmonization and Consolidation of Initial
Quality Data to Generate Key Performance
Indicators

Chapter 1:
Introduction
Research aim
• The aim of this paper is to facilitate as well as consolidate,
the process in one structure system.
• This paper aims at avoiding the discrepancy in the IQW
deliverables.
• The research conductor has tried to fulfill the research aim.

Objectives
• To identify the problems in consolidating and
harmonizing the Initial Quality Data
• To consolidate the process in one structured
system for avoiding discrepancies in IQW’s
deliverables
• To develop an efficient tool for predicting the
harmonized and consolidated data for future
years
• To generate Key Performance Indicators for the
automotive market

Research questions
• What are the problems in consolidating and
harmonizing the initial quality data?
• How to develop a structured system for
disengaging the IQW’s deliverables?
• How to develop an efficient tool for
predicting the harmonized and consolidated
data for coming years?
• What are the Key Performance Indicators in
the automotive market?

Definition
• Harmonization of data is considered a
matching process of the new resources
with the existing master record.
• Steering committee tempts the business
idea.
• The new harmonized and consolidated
system users are classified by the
utilization of Quality Management tools.

Initial Quality World
• IQW is approved as an essential process of
measuring the problems of the ownership of
vehicles.
• IQS has been considered software helps in
offering all manufacturer types in the entire
world.
• Automobile companies get assisted by IQW
as it helps in assessing the customers’
review on a regular interval of time.

Key Performance Indicators
• KPIs assist a business organization to
identify the major problems that
consumers are facing
• Reporting an appropriate KPI condition is
considered very crucial for a business
organization.
• Important KPIs need to be tracked by the
automotive industry.

Motivation
• Data consolidation and data harmonization
are necessary for the IQW to implement the
advanced system of Information
Technology.
• Data consolidation is approved as
necessary to drive the customers’
experience.
• Data security is considered important to
reduce to advanced technical problems.

Rationale
• This thesis paper has stressed data
harmonization and data consolidation of IQW
that can help in generating Key Performance
Indicators.
• Numerous problems have been confronted by
the owners of the vehicles have been analyzed
and incorporated in this thesis paper.
• Thus, the future studies will get assisted in
conducting any kind of research in accordance
with this topic of research.

Summary
• This chapter of the research study has
provided the constructive concept of IQW,
along with its importance.
• The concept of data harmonization along
with data consolidation has been also
screened in this chapter of the thesis paper.
• Moreover, this research study has discussed
how IQW helps in generating KPIs.

Chapter 2:
Literature Review
Introduction
• This chapter of the thesis paper is considered
important to conduct the study based on the
provided topic of research.
• This chapter of the thesis paper has provided
secondary data in accordance with the research
topic.
• The information incorporated in this thesis paper
can assist the conductor of research in many ways.

Concept of Initial Quality Data
• The problems of ownership of vehicles
can be measured with the help of IQW.
• This initial quality data can help in
bringing improvement in the products
and services of the companies under the
automobile industry.
• In addition, the consumers’ satisfaction
can be escalated with the help of IQW.