DAAVIZ, a pioneering data analytics firm, was approached by a leading healthcare consulting company to conduct an in-depth customer segmentation analysis. The objective was to categorize patients into distinct groups based on various health and demographic parameters to tailor healthcare services more effectively.
The primary objectives of the project were to:
Segmentation was recommended to:
Python, a versatile programming language, was chosen for this analysis due to its powerful libraries and frameworks such as Pandas for data manipulation, Scikit-learn for machine learning, and Matplotlib for data visualization.
Python was selected for its:
The output of the analysis was a comprehensive report that included:
The segmentation analysis provided the end client with:
DAAVIZ’s expertise in Python-based data analysis enabled the healthcare consulting firm to gain a deeper understanding of their customer base, leading to enhanced service offerings and increased patient satisfaction.
Data Analytics
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Data Analytics
Data Analytics
Data Analytics
Data Analytics
Data Analytics
Data Analytics
Data Analytics
Data Analytics
Power B Dashboards
Power B Dashboards
Tableau Dashboards
Power B Dashboards
Power B Dashboards
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Power B Dashboards
Data Analytics
Data Analytics
Data Analytics
Data Analytics
Data Analytics
Data Analytics
Data Analytics
Power B Dashboards
Power B Dashboards
Power B Dashboards
Power B Dashboards
Power B Dashboards
Power B Dashboards
Tableau Dashboards
Tableau Dashboards
Tableau Dashboards
Tableau Dashboards
Tableau Dashboards
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