HOUSTON E-RETAILERS PRESENTED BY: BALA ANUDEEP GUDURI (LEAD) KAVYA HEGDE DIVYA GANGWANI SUHAS MALAVALLI.

Slides:



Advertisements
Similar presentations
Data Warehousing and Data Mining J. G. Zheng May 20 th 2008 MIS Chapter 3.
Advertisements

Barry MacKechnie www.ceo-services.com Copyright MC, Inc
DATAWAREHOUSE FOR BANKING by Amey Aras Deepesh Dhake Hateem Murad Nirav Hamlai.
DATAWAREHOUSE FOR BANKING by Amey Aras Deepesh Dhake Hatem Murad Nirav Hamlai.
Presented By: Khalid Nour Muhammad Rizvi Raghuram Vempali Surekha Vemuri.
McGraw-Hill/Irwin McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All rights reserved.
MANAGING PRODUCTS TOOLS FOR DECISION MAKING. BUSINESS STRATEGY MATRIX VERTICAL AXIS: TODAY’S BUSINESS STRENGTHS WITH CUSTOMERS: - SHARE OF BUSINESS -SHARE.
By N.Gopinath AP/CSE. Two common multi-dimensional schemas are 1. Star schema: Consists of a fact table with a single table for each dimension 2. Snowflake.
Data Warehouse Design to Support Customer Relationship Management Analyses Colleen Cunningham, Il-Yeol Song and Peter Chen DOLAP ‘04 November 12, 2004.
Chapter 11 Building a Customer-Centric Organization – Customer Relationship Management 11-1.
Market Research and Product Development
Chetan Bhirud Raza Mohammad Abinash Sahoo Online Marketing Giant.
ISQS 3358, Business Intelligence Creating Data Marts Zhangxi Lin Texas Tech University 1.
1 REVIEW LEARNING OUTCOME Customer Relationship Management LO I.
1 Chapter 21: Customer Relationship Management (CRM) Prepared by Amit Shah, Frostburg State University Designed by Eric Brengle, B-books, Ltd. Copyright.
0 © 2008 MoneyGram. Proprietary and Confidential. MoneyGram’s Business Intelligence Implementation for Oracle Applications TCF OAUG May 15, 2008 Pat Redding.
Chapter 21 Copyright ©2012 by Cengage Learning Inc. All rights reserved 1 Lamb, Hair, McDaniel CHAPTER 21 Customer Relationship Management (CRM)
1 Copyright ©2009 by Cengage Learning Inc. All rights reserved Designed by Eric Brengle B-books, Ltd. CHAPTER 21 Prepared by Amit Shah Frostburg State.
E-Marketing and Customer Relationship Management
Marketing in Today’s World
Ms. Smith Marketing.  Marketing is the process of planning, pricing, promoting, selling, and distributing ideas to create exchanges that satisfy customers.
Marketing in Today’s World
Copyright Cengage Learning 2013 All Rights Reserved 1 Chapter 21: Customer Relationship Management (CRM) Introduction to Designed & Prepared by Laura Rush.
Introduction to the Orion Star Data
Basic Marketing Concepts. Objectives: 1. The Marketing Concept 2. The difference between customers and consumers 3. What a market is and how it can be.
Marketing Is All Around Us. Quick Think How would you define Marketing? Activities that fall under its umbrella.
OLAP Theory-English version On-Line Analytical processing (Business Intelligence) [Ing.J.Skorkovský,CSc.] Department of corporate economy.
Electronic World Anupama Rakesh Seshank Sudeep. Business Background Electronic World is a well established Electronic Appliances distribution company.
Presented By: Muhammad Rizvi Raghuram Vempali Surekha Vemuri.
DIMENSIONAL MODELLING. Overview Clearly understand how the requirements definition determines data design Introduce dimensional modeling and contrast.
1  2007 Thomson South-Western Marcom’s Challenges: Enhancing Brand Equity, Influencing Behavior, and Being Accountable Chapter Two.
MARKETING. Standards… BCS-BE-36: The student demonstrates understanding of the concept of marketing and its importance to business ownership. BCS-BE-36:
Copyright ©2013 Pearson Education, Inc. publishing as Prentice Hall.1-1 Course Code MGT 561 Supply Chain Management Book: Supply Chain Management Strategy,
Banking Products by Amey Aras Deepesh Dhake Hatem Murad Nirav Hamlai
Data Warehouse. Design DataWarehouse Key Design Considerations it is important to consider the intended purpose of the data warehouse or business intelligence.
GSK FMCG Data Warehouse Design GSK FMCG industry 10 October Pavan Kumar Mantha Vinod Tati Shourya Konda 2 nd December 2014.
13 1 Chapter 13 The Data Warehouse Database Systems: Design, Implementation, and Management, Seventh Edition, Rob and Coronel.
MOTORCYCLE INDUSTRY Huan Truong Omer Demir Thy PhamNguyen Data Warehouse Project.
SHIFALI CHOUBEY GISE LAB IITB Decision Support System For Farmers.
Market Research & Product Management.
Copyright © Houghton Mifflin Company. All rights reserved. 7–17–1 What Is a Market? Requirements of a Market –Must need or desire a particular product.
CISB113 Fundamentals of Information Systems Data Management.
Escape Velocity Video Escape from Reality! Alex Prewett, William Hellela, Rauf Gadar.
Business Intelligence Transparencies 1. ©Pearson Education 2009 Objectives What business intelligence (BI) represents. The technologies associated with.
Pooja Sharma Shanti Ragathi Vaishnavi Kasala. BUSINESS BACKGROUND Lowe's started as a single hardware store in North Carolina in 1946 and since then has.
+ Big Data. + Chapter Objectives Learn the basic concepts of Big Data, structured storage, and the MapReduce process Learn the basic concepts of data.
An inside look into Retail Sales & Purchases. Refresh: (About US Census Bureau) Agency of the Federal Statistical System Accumulates and reports on American.
All about Samsung Samsung is a South Korean multinational conglomerate company headquartered in Samsung Town, Seoul. Samsung was founded by Lee Byung-chul.
ISAM 5931: Data Warehousing & Data Mining Group Project submitted by : Mudassar Hakim & Gaurav Wadhwani.
Aviation Fare Analyzer Presented by: Prathyusha Maryada Saradruthi Swaroop Vikas.
B121 Chapter 11 Marketing. It is concerned with exchange relationships. Transactional marketing – oriented towards single purchase Relationship Marketing.
NAVYA SIRISHA RAGHAVA SHANKER ARAVIND SRIKANTH. OUTLINE Background Business Need Dimensions and Fact table Data Model Cube Implementation BI Information.
Marketing In Today’s World Freshman Seminar - Introduction to Business Dr. Hays Freshman Seminar - Introduction to Business Dr. Hays.
Houston E-Retailers Presented BY: Bala AnuDeep Guduri (LEAD)
Marketing I Curriculum Guide. Market Planning Standard 2.
HOUSTON E-RETAILERS PRESENTED BY: BALA ANUDEEP GUDURI (LEAD) KAVYA HEGDE DIVYA GANGWANI SUHAS MALAVALLI.
New Product Development
Electronic World Anupama Rakesh Seshank Sudeep. Business Background Electronic World is a well established Electronic Appliances distribution company.
Industry Analysis You must identify:  Sales potential of your product  Your competition.
OLAP Theory-English version On-Line Analytical processing (Buisness Intelligence) Ing.Skorkovský,CSc Department of Corporate Economy Faculty of Economics.
Marketing in Today’s World
Data warehouse and OLAP
Chapter 11 Building a Customer-Centric Organization – Customer Relationship Management 11-1.
Dimensional Model January 14, 2003
Company name: Date: Entrepreneur: Version:
Dr. Bernard Chen Ph.D. University of Central Arkansas Fall 2009
Ch. 13 Marketing in Today’s World
Testing the Concept in the Market
How To Conduct Market Research For A Startup Idea?
Data Warehousing.
Presentation transcript:

HOUSTON E-RETAILERS PRESENTED BY: BALA ANUDEEP GUDURI (LEAD) KAVYA HEGDE DIVYA GANGWANI SUHAS MALAVALLI

BACKGROUND HOUSTON E-RETAILERS, INC is a startup E-Retail store based in Houston, Texas and carries various products from different famous franchisees for a number of internationally recognized brands like Dr. Pepper under Beverages, Proctor and Gamble for Toys and Cosmetics and many more. The company is mainly an E-Retail business which is looking on to expand its customer base and also grow their business and compete amongst their competitors in the E-Retail market.

BUSINESS NEED To build a long-term relationship with the customer. To run a profitable operation which typically means increasing revenue while limiting the expense. To analyze the transactional data and finally drive the company towards the success by making effective strategic decisions. Use effective tools or techniques which help in analyzing the data and produce reports to know the trending for past and the upcoming years.

HOW WOULD HOUSTON E-RETAILERS BENEFIT FROM DATA WAREHOUSE? This would make us aware of the past and future trends with regards to customer purchase, the product sales and many more by analyzing the data collected over the years. Knowing the sale of a particular product under a particular category at a given time that would facilitate in increasing the revenue for the future years. Finally, an important benefit being that its facilitates or company to provide the right product to the customer when they want.

DIMENSIONAL MODEL STAR SCHEMA Customer Vendor Product Date Fact_Sales ProductCategory

DIMENSIONAL MODEL

DIMENSION TABLES Customer Dimension:

DIMENSION TABLES Vendor Dimension:

DIMENSION TABLES Date Dimension:

DIMENSION TABLES Product Dimension:

DIMENSION TABLES Product Category Dimension:

DIMENSION TABLES Fact_Sales Dimension:

* REPORTS Following reports have been planned on to be generated using the cube:  Sales Report  Gender and Age Based Sales Report  Product Sales Report

THANK YOU COMMENTS OR QUERIES?