Capstone Project for Information Systems at Carnegie Mellon University for Body Media Inc. Team Members: Saurabh Shrivastava Amrish Singh Sumeet Ganju Chitra Sharma Shantnu Chandel

1. Sales Order Cash Sales Item Fulfillment Body Media BI – Adding Intelligence to the Business Amrish Singh Shantnu Chandel Chitra Sharma Sumeet Ganju Saurabh Shrivastava Objectives Abstract - Creation of a Data Warehousing application using Body Media’s operational data to demonstrate how data can be integrated and correlated across different functional domains - Analysis of KPIs for Quality, Marketing and Finance - Implementation of KPIs critical to Body Media’s business - Correlation of data across different functional domains - Easy to configure system to generate ad-hoc reports - Utilization of open-source technologies Founded in 1999, Body Media, Inc. is a pioneer in developing wearable body monitoring systems that are designed to help people lose weight, improve performance and live a healthier lifestyle. It desires a business intelligence system to generate a dashboard of key performance indicators. The system shall gather data from multiple financial and operational systems into a data warehouse to present the KPIs on a daily basis. Body Media’s executive staff meets weekly and reports on KPI. Currently, these metrics are generated semi-manually by merging reports from various systems through spreadsheets, etc. These reports are suspect to human errors and severely limited in depth and scope. The system would be used to provide more reliable and diverse KPIs to make weekly business decisions. The system would also be used to analyze different problems / questions on an ad-hoc basis. Implementation Requirements Quality: Quality Analysis KPIs - Total number of complaints and inquiries received - Complaints by product - Complaints by investigation code Marketing: Improved Marketing and Promotion KPIs Customers: - Customer complaints/inquiries trending - New customers per month -based on subscription data - Loss of customers by month, renewals by month - Demographics on customers: gender, age, geographical location Design Decisions - Database: MySQL - ETL: Pentaho Kettle - Reporting: Pentaho Reporting - OS: Red Hat Enterprise Linux - Data Warehouse: Pentaho Mondrian - Development Environment: Eclipse Sales / Finance - Sales by month - Sales by channel - Sales by demographics Data Warehouse Architecture* Results : Reporting DW Schema Design ETL Transformation Report Generation Results : Exploration OLAP Engine Number of Complaints by Status Number of Cases by Month Number of Complaints by Product Finance* Customer Demographics* New Customers by Month New Customers by Gender Renewals by Month Revenue by Channel Revenue by Month Loss Of Customers by Month *Images and Architecture Courtesy: Prof. John Shantz - IT for Decision Support Systems at Carnegie Mellon University