1. NAVYA SIRISHA RAGHAVA SHANKER ARAVIND SRIKANTH

2. ALL ABOUT APPLE Apple Inc. is an American multinational corporation headquartered in Cupertino, California, that designs, develops, and sells consumer electronics like IPhone, IPad, IPad and personal computers namely MAC. Apple was founded by Steve Jobs, Steve Wozniak, and Ronald Wayne on April 1, 1976, to develop and sell personal computers. Apple is the world's second-largest information technology company by revenue after Samsung Electronics, and the world's second-largest mobile phone maker after Samsung. As of June 2014, Apple maintains 425 retail stores in fourteen countries.

3. CHALLENGES To analyze the sales of products of apple like IPhone, IPad, IPod over the last 12 months. To determine the sales of products during various times of the year like December, May, August and determine market penetration. Determine least and most sold products.

4. BUSINESS NEED Main objective is to provide strategic and tactical support to the marketing, sales and finance departments of the company of their products and markets at various countries (United States, China, Germany). Identify products of demand, inventory details and sales through creation of Data Warehouse. Determine number of customers for a particular category of product and age group.

5. WHAT AND WHY DATA WAREHOUSE A data warehouse (DW, DWH), or an enterprise data warehouse (EDW), is a system used for reporting and data analysis. The data stored in the warehouse is uploaded from the operational systems. Provide consolidated view of data. Develop and enterprise approach to business intelligence and reporting

6. WHY DATA WAREHOUSE CONT.. A Data Warehouse Delivers Enhanced Business Intelligence Provide capability for data sharing Data Quality and Consistency Merge historical and current data Improves speed and performance of all respective needs.

7. BUSINESS DIMENSIONS Location Location_ID -Location_City -Location_State -Location_Region Time Time_ID -Time_Date -Time_Day -Time_Month - Time_Year Product Product_ID -Product_type -Product_Brand -Product_Cost

8. OBJECTIVE Primary goal is to retrieve the data for quarterly, semi-annually and annually sales of Apple products. Determine the sales revenue of products based on categories. Generate reports of summary of sales revenue.

9. OLAP ACTIVITIES OLAP stands for Online Analytical Processing. Applications of OLAP: Business reporting for sales Management reporting Budgeting and forecasting OLAP Activities: Slicing – Data is compared category wise Aggregation – Data is compared yearly Dicing – Data is compared quarterly Roll up – Combining Sliced or aggregated data of 5 or 10 years

10. DATA CUBE SALES TIME PRODUCTS CUSTOMERS

11. TASKS REQUIRED TO PERFORM TO GENERATE CUBE: Step 1 Aggregate data using time dimension Get the annual data Step 2 Slicing data based on Category Get category wise sales revenue Step 3 Dicing data quarterly Compare quarterly revenues

12. THANK YOU QUERIES??