1999 ACM SIGMOD: Data Management Issues in Electronic Commerce

Slides:

Advertisements

Similar presentations

©2011 CBS Interactive Inc. All rights reserved. DataSource datasheets.

Advertisements

Irwin/McGraw-Hill Copyright © 2000 The McGraw-Hill Companies. All Rights reserved Whitten Bentley DittmanSYSTEMS ANALYSIS AND DESIGN METHODS5th Edition.

Subject Analysis: An Introduction Based on BASIC SUBJECT CATALOGING USING LCSH edited by Lori Robare.

Introduction to metadata for IDAH fellows Jenn Riley Metadata Librarian Digital Library Program.

Ngo Van Trung OSS Founder & CEO Magento Overview How to Start a Magento Business.

Use Case Development Social Journey Template. A “Use Case” is simply a defined way of using Yammer to accomplish a goal or complete a task. Define the.

The Information School of the University of Washington Information System Design Info-440 Autumn 2002 Session #10 BOO! BOO!

©Silberschatz, Korth and Sudarshan1.1Database System Concepts Chapter 1: Introduction Purpose of Database Systems View of Data Data Models Data Definition.

Infomaster: An information Integration Tool O. M. Duschka and M. R. Genesereth Presentation by Cui Tao.

Electronic Commerce Introduction and Related Issues.

Methodology Conceptual Database Design

PowerPoint Presentation by Charlie Cook Copyright © 2005 Prentice Hall, Inc. All rights reserved. Chapter 10 Understanding Marketing Processes and Consumer.

Introduction to Electronic Commerce

Introduction to Databases Transparencies 1. ©Pearson Education 2009 Objectives Common uses of database systems. Meaning of the term database. Meaning.

Introduction to Microsoft Commerce Server 2002 Mark D. Robinson Technical Lead Commerce Server Support Microsoft Corporation.

An intuitive online e-commerce store. A complete solution to build & manage your online store. It's a proven technology platform with integrated payment,

Understanding Buyers.

Amarnath Gupta Univ. of California San Diego. An Abstract Question There is no concrete answer …but …

Ecommerce Applications 2007/8 1 Session 2 E-commerce: Why/How Much Benefits and Costs.

Aurora: A Conceptual Model for Web-content Adaptation to Support the Universal Accessibility of Web-based Services Anita W. Huang, Neel Sundaresan Presented.

Retailing Management 8e© The McGraw-Hill Companies, All rights reserved CHAPTER 2CHAPTER 1 CHAPTER 3 McGraw-Hill/Irwin Copyright © 2012 by The McGraw-Hill.

MSF Requirements Envisioning Phase Planning Phase.

Fundamentals of Information Systems, Fifth Edition

Site Restructure and Expansion. Background Magnaflux is a leading worldwide supplier of equipment and chemicals used in nondestructive testing The magnaflux.com.

© 2007 by Prentice Hall 1 Introduction to databases.

Information Management LIS /1/99 Martha Richardson.

By: Pramod Jagtap Aniket Bochare. Agenda Introduction to dataset Web service description Service architecture Project plan Intended clients.

MARKETING MANAGEMENT 12 th edition 12 Setting Product Strategy KotlerKeller.

Buyer Behaviour Consumer and Organisational Buying Behaviour.

Adobe Certified Associate Objectives 1 Setting Project Requirements.

Building a Topic Map Repository Xia Lin Drexel University Philadelphia, PA Jian Qin Syracuse University Syracuse, NY * Presented at Knowledge Technologies.

Data Integration Hanna Zhong Department of Computer Science University of Illinois, Urbana-Champaign 11/12/2009.

Issues in Ontology-based Information integration By Zhan Cui, Dean Jones and Paul O’Brien.

Metadata “Data about data” Describes various aspects of a digital file or group of files Identifies the parts of a digital object and documents their content,

Social Shopping: Concepts, Benefits, and Models

Chapter 2 Tools and Platforms for Social Commerce.

Chapter 8 Strategies for Marketing, Sales, and Promotion Electronic Commerce.

Content Management: What Is It and Why Should You Care?

Al-Futtaim Retail Business College Foundations Of Merchandising Refresher Module.

Data Mining and Data Warehousing: Concepts and Techniques What is a Data Warehouse? Data Warehouse vs. other systems, OLTP vs. OLAP Conceptual Modeling.

Open Governance Platform

Multichannel Retailing

Acquire Product Information for use in Selling

Linking Rich Content Catalogue to your Webshop

Introduction To DBMS.

The Components of Information Systems

Retailing Strategy Aim: How do the customer service strategy and pricing effect one another? Do Now: 1-What is merchandising strategy? 2-How might.

Scalable Web Apps Target this solution to brand leaders responsible for customer engagement and roll-out of global marketing campaigns. Implement scenarios.

Amity School of Business BBA, Semester - II E - Commerce Arpan Sinha

E-Commerce Lecture 9.

Scalable Web Apps Target this solution to brand leaders responsible for customer engagement and roll-out of global marketing campaigns. Implement scenarios.

Datamining : Refers to extracting or mining knowledge from large amounts of data Applications : Market Analysis Fraud Detection Customer Retention Production.

Introduction To E-Commerce and E-Business

Federated & Meta Search

The Components of Information Systems

Principles of Marketing

E-Commerce: Mechanisms, Infrastructures, and Tools

Information System Design Info-440

Understanding Buyers Copyright ©2017 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible.

Course: Module: Lesson # & Name Instructional Material 1 of 32 Lesson Delivery Mode: Lesson Duration: Document Name: 1. Professional Diploma in ERP Systems.

How much will I charge for MILK?

A CASUAL CONTRIBUTOR’S LEARNING AID FOR DITA STRUCTURING

How much will I charge for MILK?

E-Commerce: Mechanisms, Infrastructures, and Tools

Chapter 19 Customer Service.

Information System Building Blocks

Terms: Data: Database: Database Management System: INTRODUCTION

Chapter 19 Customer Service.

Data Warehouse and OLAP Technology

Presentation transcript:

1999 ACM SIGMOD: Data Management Issues in Electronic Commerce Darko Hrelic Program Director, EC Architecture IBM (C) Copyright IBM

Agenda Three Research Topics 2 Agenda Three Research Topics Electronic Catalogs -> Virtual Salespeople Information Barriers to Virtual Salespeople Information / Data Management Challenges New vs. Evolutionary "Yes" Additional Related Research Areas

Electronic Catalogs -> Virtual Salespeople 3 Electronic Catalogs -> Virtual Salespeople Shopper's Perspective: It's all about "Service" Find things Easily & Quickly Relevance to each shopper / buyer Appropriate Search / Navigation technique "Just Browsing", "Theme Shopping", "Target Buying" Product knowledge dependency Detailed descriptions and specifications Complete and Consistent product attributes Enough information (but not too much) to make "an informed" buy decision Get sales help (only) when wanted / needed Appropriate U/I Presentation Metaphor Merchant's Perspective: It's all about "Merchandising" Accessories, Cross-Sell, Up-Sell, "Goes With", "Just Like", Substitutions Specials, Promotions, Packages, Bundles Enhanced Images, Audio, Video Targeted Marketing Research Topic: User Interface that Meets both the Shopper's and Merchant's Objectives

Information Barriers to Virtual Salespeople 4 Information Barriers to Virtual Salespeople Quality of Information Incorrect, Incomplete, Cryptic Described differently by different manufacturers Inconsistent units of measure and ontologies No standards Granularity Multiple information sources Back end (ERP) system, Paper / Brochures, Suppliers Information doesn't exist Or is not available in required format Research Topic: Standard Ontologies for Products & Catalogs Physical and Functional Definitions

Information / Data Management Challenges 5 Information / Data Management Challenges Guaranteeing Consistency, Correctness, Completeness Quickly Creating Merchandising Relationships Accessories, X-Sells, Up-Sells, Specials, etc. New Product Introductions Quickly Remove Merchandising Relationships Special Sale is Over Holiday / Season is Over Product is no longer available Scalability Hundreds of Thousands to Millions of Products i.e. "Hard Wiring" is not a practical solution Research Topic: Data Management Technology that Makes Above Possible

Additional Related Research Areas 6 Additional Related Research Areas Visual Methods for Exploring Large Information Schema Visual Methods for Managing Large Information Schema Security / Entitlement Internationalization & Language Independence Translation / Mapping