1. Pooja Sharma Shanti Ragathi Vaishnavi Kasala

2. BUSINESS BACKGROUND Lowe's started as a single hardware store in North Carolina in 1946 and since then has grown to the second largest home improvement retailer in the world behind Home Depot. In 2009, the company operated 1,710 stores in the United States and Canada. Lowe's provides a wide range of home building supplies and services to its target customers. Key product groups for Lowe’s are lumber, millwork, appliances, tools, hardware, and lawn care.

3. Lowe's Mission Statement Home Improvement Value and Valuable Solutions. Lowe’s provides customer-valued solutions with the best prices, products and services to make it the first choice for home Improvement.

4. BUSINESS NEEDS There is a greater need for strategic information that will ensure the long term survival of Lowe’s Corporation’ What quarter is least successful by state? We could enhance marketing in that quarter. What region sells the most in each quarter? We could use this data to find out where we would like to open new stores. What kind of product is selling the least in each state? We would know to order less of that product in that state.

5. SCOPE STATEMENT We will define sales for products by region and state for each month and quarter in one year.

6. WHAT IS DATA WAREHOUSE? “ A data warehouse is a subject-oriented, integrated, time-variant, and nonvolatile collection of data in support of management’s decision-making process”.

7. WHY DATA WAREHOUSING? Data warehouses are widely used within the largest and most complex businesses in the world. The goal of a data warehouse is two fold: To increase the effectiveness and efficiency of a business operation. To equip managers with information to make intelligent, informed decisions that will translate into a competitive advantage.

8. ROLE OF DATA WAREHOUSING IN LOWE’S To maintain data history, and integrate data from multiple sources and locations enabling a central view through out the enterprise. Present the organization's information consistently. Provide a single common data model for all data of interest regardless of the data's source. Develop an enterprise approach to business intelligence and reporting

9. OLAP TECHNOLOGY OLAP (online analytical processing) is computer processing that enables a user to easily and selectively extract and view data from different points of view. To facilitate this kind of analysis, OLAP data is stored in multidimensional database, which considers each data attribute (such as product, geographic sales region, and time period) as a separate "dimension."

10. Dimensional Modeling It is a data modeling technique in data warehouse design. Dimensional models use facts and dimensions to describe data for the business. Facts are typically numeric values that are additive. Dimensions are descriptive elements used for grouping, labeling, and filtering facts. Dimensional models are typically represented using a star schema.

11. Star Schema

12. Dimension Table Product Name Product Type ID Product Description Product Day Week Month Quarter Time Region State City Store Location

13. Fact Table The junction table in the data warehouse is called a fact table and it contains detailed metrics, measures or quantitative data from business activities.

14. Estimated Reports Sales by Store in a state by month, quarter, or year.Sales Product type by month, quarter, or year.Sales by state in a region by month, quarter, or year.Sales by state in a region by product by month, quarter, or year.Sales by state in a region by product type by month, quarter, or year.Sales by Region by month, quarter, or year.Sales by Region by Product name by month, quarter, or year.