Data Cleaning Sql
This project analyzes retail sales data to identify top-performing branches and products, understand sales trends, and study customer behavior.
Agnes blends her experience in IT support, business analysis and marketing to bring a data-driven perspective to research. She has worked across banking, insurance and with ERP system vendors, translating complex information into clear insights that support smarter decisions. Her passion for evidence-based problem solving has led her to conduct academic, product and market research using SPSS, NVivo, Excel and Power BI. As she transitions fully into the research field, Agnes is focused on helping organizations turn data into actionable strategies that drive meaningful and lasting impact.
This project analyzes retail sales data to identify top-performing branches and products, understand sales trends, and study customer behavior.
Here,you will find sql scripts showing how I arrived at the outcome of each of the business questions that later translated to the visualizations
Data visualization reports provide a way to share insights derived from the data using charts and graphs which make it easily understandable to any audience.
This is beneficial in ensuring that correct results of the analysis are received by stakeholders and data-driven decisions are made moving forward.
The focus of this analysis is to highlight customer attrition rates on each service offered by the company and narrow down to the specific reasons for the same
The key metrics considered in this project are total number of customers, the total number of customers who have churned (attrition), the attrition rate, and the number of new customers.
This project involved cleaning company staff data using sql and creating reports using PowerBI
It aims to understand the distribution of staff across different departments,locations and roles within an organization. This analysis helps in identifying staffing imbalances, organization turnover rate, optimizing resource allocation, and planning for future hiring needs.
COMING SOON
Nairobi,Kenya