Kelly966's starred repositories
Retail-chain-
Retail chain case study using SAS
Customer-Segmentation-Analysis
AmerisourceBergen, the largest wholesaler of medical and surgical materials in the United States, set a goal to improve the efficiency of products distribution. To realize this target, it is essential to explore into its customer needs by doing customer segmentation. The company distributes a wide variety of products to all kinds of pharmacies, including hospitals, clinics, retail pharmacies, physician offices and so on. Customer segmentation is a way to have a better understanding of the customers. By doing so, we can strategize a more efficient allocation of resources to different target-customers, as a result, to improve our services and enhance profitability.
SAS_Projects
Relevant materials for SAS projects focused on the Finance sector.
SAS-for-Finance
SAS for Finance, published by Packt
FinanceProject
Stock Data Analysis with the help of SAS and Excel.
SAS_FINANCE_CROSS_SELLING
Financial Cross-Selling project where the objective is to develop business and market strategies for targeting customers which are more likely to buy insurance products.
Hospital-Profitability-Analysis
Given Orthopedic Equipment Sales and demographic data for a large list of US hospitals, I used SAS to perform Cluster Analysis and Factor Analysis to create clusters for high profit hospitals (on a testing dataset which only includes hospitals with positive sales numbers). Using the clustering algorithm given, I assign clusters to hospitals with low or nonexistent sales numbers to find a subset of hospitals that provide the greatest opportunity for sales potential (for a hypothetical client that sells orthopedic equipment to hospitals).
Financial_Data_Analysis-Orthopedic_Sales
Performed Data Transformation, Factor Analysis, Clustering Analysis, and Regression Analysis on a real-life hospital dataset to maximize profits for an orthopedic equipment company (R, SAS). Collaborated with a team to isolate a group of hospitals that would generate >$800,000 in profit.
Customer-Segmentation-for-Credit-Card-Users_SAS
Customer Segmentation for Credit Card Users (Banking domain): Defined a marketing strategy by developing a customer segmentation profile using K-means cluster and factor analysis. Used the derived KPI's to gain insights on the behavioral segments of credit card customers. The sample dataset summarizes the usage behavior of about 9000 active credit card holders during the last 6 months. The file is at a customer level with 18 behavioral variables.
Analysis-of-Mobile-Advertising-with-SAS
The dataset contains details about various publisher and consumer characteristics based on which an app was installed. Now the app developer would like to choose the optimal payment based on the number of installs. Hence, our goal is to estimate the probability of installing the ad.
Linear-Regression-SAS
Dataset is scraped from the Craigslist website , it contains mostly all relevant information that Craigslist provides on car sales including columns like price, condition, manufacturer, latitude/longitude, and 18 other categories.
SAS-Statistical-Analysis
Programs for statistical analysis of various datasets and provide data modeling techniques
Predictive-Modelling
Case study on MovieLens dataset using SAS
TELECOM-CHURN-PROJECT
TELECOM CHURN PROJECT