ANALYTICAL CRM FOR GOOGLE EDGE - DATA MINING FRAMEWORK WITH REFERENCE TO PHARMACEUTICALS INDUSTRY IN INDIA
DOI:
https://doi.org/10.55829/ijmpr.v2i1.108Keywords:
Analytical CRM, Data Mining Framework, Data Mining, Customer Relationship management, Pharmaceuticals IndustryAbstract
As well as increasing the utilization of analytical CRM software over time, as you collect more and more valuable data, you'll also gain more benefits over time by using analytical CRM. It’s vital role to the business strategy before you buy and introduce a program and make sure that the sort of CRM software solutions that you simply choose is that the best choice to maximize your sales volume and boost your business. Many businesses have recognized the importance of implementing new technological trends to assist them make decisions and satisfy their customers.
Research Objective
Research objectives explain what your study's goals are and why you are conducting it. They serve to focus your research by providing an overview of your project's methodology and goals.
Your research paper's introduction should include your objectives after the problem statement. They ought to:
- Identify the project's depth and scope.
- Add to the planning of your research
- Explain how your project will advance our knowledge.
Design enables researchers to fine-tune research methods appropriate for the subject matter.
Research Methodology
The term "research methodology" simply refers to the actual "how" of any given piece of research. More specifically, it pertains to how a researcher systematically designs a study to guarantee valid and reliable results that address the research aims and objectives
Due to the nature of CRM and data mining research, which makes it challenging to confine to particular disciplines, the pertinent materials are dispersed throughout numerous journals. For data mining research in CRM, business intelligence and knowledge discovery are the most popular academic fields. Consequently, to compile a thorough bibliography of the academic literature on CRM and Data Mining, the following online journal databases were searched.
Data Analysis
In quantitative research, collect data and use statistical analyses in SPSS. Using Regression method, find out whether data demonstrate support for research predictions. Inconsistencies and errors are examples of dirty data. These data can originate from any stage of the research process, such as poor research design, insufficient measurement materials, or incorrect data entry.
Social Implication
CRM analytics offers you insights approximately your clients and the way properly your income and customer support groups are attaining them. CRM analytics enables you display your customer support efforts, validate your client data, examine your clients' conduct and generate higher leads.
Originality/Value
Customer techniques entails analyzing the prevailing and capability consumer primarily based totally and become aware of which sorts of segment are maximum suitable. This look at believes whether or not a macro, micro, or one-to-tone segmentation method is suitable is a selection for a commercial enterprise to make.
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