Presentation of internship about data analysis

Internship presentation ppt

1. SCHOOL OF SCIENCE AND HUMANITIES DEPARTMENT OF MATHEMATICS SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY (DEEMED TO BE UNIVERSITY) Accredited with Grade “A++” by NAAC I 12B Status by UGC I Approved by AICTE JEPPIAAR NAGAR, RAJIV GANDHI SALAI, CHENNAI - 600 119   March - 2025

2. Presented by Name : Chiravuri Sai Srilekha   Register Number : 43630001   Course : II M.Sc.,(2023-2025)   Department : Mathematics   Name of Institute : Sathyabama Institute of science and technology

3. Under the Guidance of Dr. Premkumar M Assistant Professor School of Science and Humanities Department of Mathematics Sathyabama Institute of Science and Technology (Deemed to be University) Chennai – 600 119, Tamil Nadu, India.

4. Title of the Internship Financial and Sales Data Analysis for Business

5. Abstract Analyzed financial and sales data is to inform business decisions. To Identify trends, patterns, and correlations in revenue growth and expense ratios. Used in Development of actionable recommendations for pricing strategies and sales channel optimization. Also, for Improved customer targeting and segmentation and Enhanced data-driven decision-making process. Therefore, Contributes to business growth and cost savings initiatives.

6. Literature Survey Financial data analysis helps identify trends and patterns (Bragg, 2018) Sales data analysis informs pricing and customer targeting strategies (Kotler, 2016) Advanced analytics and machine learning enhance data analysis capabilities (Gantz, 2014) Effective data analysis requires data quality and governance (Redman, 2013) Data-driven decision-making improves business performance (Brynjolfsson, 2011) Data analysis is crucial for business decision-making (Davenport, 2006)

7. Literature Survey Customer relationship management (CRM) data analysis improves sales performance (Kumar, 2018) Predictive analytics enables forecasting and scenario planning (Morgan, 2015) Big data analytics presents opportunities and challenges for business ( Gandomi , 2015) Financial ratio analysis provides insights into company performance (Subramanyam, 2014) Business intelligence and data visualization enhance data analysis (Few, 2013) Data mining techniques extract valuable insights from large datasets (Han, 2012)

8. Objective To analyze financial and sales data to identify trends, patterns, and correlations To develop actionable insights and recommendations for business improvement To enhance data-driven decision-making capabilities for the organization To improve sales performance and revenue growth through data analysis To demonstrate the value of data analysis in achieving business objectives

9. Thank you