Data Warehousing And Business Intelligence For e-Commerce

Data Warehousing And Business Intelligence For e-Commerce
Author: Alan R. Simon
Publisher: Elsevier
Total Pages: 310
Release: 2001-05-23
Genre: Computers
ISBN: 0080491022

You go online to buy a digital camera. Soon, you realize you've bought a more expensive camera than intended, along with extra batteries, charger, and graphics software-all at the prompting of the retailer. Happy with your purchases? The retailer certainly is, and if you are too, you both can be said to be the beneficiaries of "customer intimacy" achieved through the transformation of data collected during this visit or stored from previous visits into real business intelligence that can be exercised in real time. Data Warehousing and Business Intelligence for e-Commerce is a practical exploration of the technological innovations through which traditional data warehousing is brought to bear on this and other less modest e-commerce applications, such as those at work in B2B, G2C, B2G, and B2E models. The authors examine the core technologies and commercial products in use today, providing a nuts-and-bolts understanding of how you can deploy customer and product data in ways that meet the unique requirements of the online marketplace-particularly if you are part of a brick-and-mortar company with specific online aspirations. In so doing, they build a powerful case for investment in and aggressive development of these approaches, which are likely to separate winners from losers as e-commerce grows and matures.* Includes the latest from successful data warehousing consultants whose work has encouraged the field's new focus on e-commerce.* Presents information that is written for both consultants and practitioners in companies of all sizes.* Emphasizes the special needs and opportunities of traditional brick-and-mortar businesses that are going online or participating in B2B supply chains or e-marketplaces.* Explains how long-standing assumptions about data warehousing have to be rethought in light of emerging business models that depend on customer intimacy.* Provides advice on maintaining data quality and integrity in environments marked by extensive customer self-input.* Advocates careful planning that will help both old economy and new economy companies develop long-lived and successful e-commerce strategies.* Focuses on data warehousing for emerging e-commerce areas such as e-government and B2E environments.

E-Data

E-Data
Author: Jill Dyché
Publisher: Addison-Wesley Professional
Total Pages: 374
Release: 2000
Genre: Business & Economics
ISBN: 9780201657807

Dyche presents the complete manager's briefing on what data warehousing technology can do today and how to achieve optimal results. Using real-world case studies from Charles Schwab, Bank of America, Qantas, 20th Century Fox, and others, she covers decision support, database marketing, and many industry-specific data warehouse applications.

E-Business Intelligence

E-Business Intelligence
Author: Bernard Liautaud
Publisher: McGraw-Hill Companies
Total Pages: 306
Release: 2001
Genre: Business & Economics
ISBN: 9780071364782

Publisher Fact Sheet How to leverage corporate information for reduced costs & increased profits.

Business Intelligence Guidebook

Business Intelligence Guidebook
Author: Rick Sherman
Publisher: Newnes
Total Pages: 551
Release: 2014-11-04
Genre: Computers
ISBN: 0124115284

Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors' tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you'll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success. - Provides practical guidelines for building successful BI, DW and data integration solutions. - Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language. - Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses - Describes best practices and pragmatic approaches so readers can put them into action. - Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources.

Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications

Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications
Author: Wang, John
Publisher: IGI Global
Total Pages: 4092
Release: 2008-05-31
Genre: Technology & Engineering
ISBN: 159904952X

In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.

Managing E-commerce in Business

Managing E-commerce in Business
Author: J. Botha
Publisher: Juta and Company Ltd
Total Pages: 660
Release: 2008-02-27
Genre: Business & Economics
ISBN: 9780702173042

Information and Communication Technology (ICT) is becoming indispensable in the spheres of business, government, education and entertainment. It makes Internet marketing, e-government, e-learning and online chat services possible. And its commercial aspect, e-commerce, is part of this trend. Today, no business training is complete without the inclusion of at least the basics of e-commerce. But although e-commerce has opened up new opportunities, it also presents threats and risks. The success of e-commerce hinges on security and trust. Every business manager should therefore have a fundamental awareness of the meaning of e-commerce and ICT security and risk management. This second edition provides guidelines for overcoming these challenges by exploring the ways in which entrepreneurs and managers should co-operate with IT experts to exploit opportunities and combat the threats imposed by new technologies.

Business Intelligence in the Digital Economy

Business Intelligence in the Digital Economy
Author: Mahesh S. Raisinghani
Publisher: IGI Global
Total Pages: 316
Release: 2004-01-01
Genre: Business & Economics
ISBN: 9781591402060

Annotation Business Intelligence in the Digital Economy: Opportunities, Limitations and Risks describes business intelligence (BI), how it is being conducted and managed and its major opportunities, limitations, issues and risks. This book takes an in-depth look at the scope of global technological change and BI. During this transition to BI, information does not merely add efficiency to the transaction; it adds value. This book brings together high quality expository discussions from experts in this field to identify, define, and explore BI methodologies, systems, and approaches in order to understand the opportunities, limitations and risks.

Business Intelligence For Dummies

Business Intelligence For Dummies
Author: Swain Scheps
Publisher: John Wiley & Sons
Total Pages: 395
Release: 2011-02-04
Genre: Computers
ISBN: 1118051416

You're intelligent, right? So you've already figured out that Business Intelligence can be pretty valuable in making the right decisions about your business. But you’ve heard at least a dozen definitions of what it is, and heard of at least that many BI tools. Where do you start? Business Intelligence For Dummies makes BI understandable! It takes you step by step through the technologies and the alphabet soup, so you can choose the right technology and implement a successful BI environment. You'll see how the applications and technologies work together to access, analyze, and present data that you can use to make better decisions about your products, customers, competitors, and more. You’ll find out how to: Understand the principles and practical elements of BI Determine what your business needs Compare different approaches to BI Build a solid BI architecture and roadmap Design, develop, and deploy your BI plan Relate BI to data warehousing, ERP, CRM, and e-commerce Analyze emerging trends and developing BI tools to see what else may be useful Whether you’re the business owner or the person charged with developing and implementing a BI strategy, checking out Business Intelligence For Dummies is a good business decision.

Encyclopedia of Data Warehousing and Mining

Encyclopedia of Data Warehousing and Mining
Author: Wang, John
Publisher: IGI Global
Total Pages: 1382
Release: 2005-06-30
Genre: Computers
ISBN: 1591405599

Data Warehousing and Mining (DWM) is the science of managing and analyzing large datasets and discovering novel patterns and in recent years has emerged as a particularly exciting and industrially relevant area of research. Prodigious amounts of data are now being generated in domains as diverse as market research, functional genomics and pharmaceuticals; intelligently analyzing these data, with the aim of answering crucial questions and helping make informed decisions, is the challenge that lies ahead. The Encyclopedia of Data Warehousing and Mining provides a comprehensive, critical and descriptive examination of concepts, issues, trends, and challenges in this rapidly expanding field of data warehousing and mining (DWM). This encyclopedia consists of more than 350 contributors from 32 countries, 1,800 terms and definitions, and more than 4,400 references. This authoritative publication offers in-depth coverage of evolutions, theories, methodologies, functionalities, and applications of DWM in such interdisciplinary industries as healthcare informatics, artificial intelligence, financial modeling, and applied statistics, making it a single source of knowledge and latest discoveries in the field of DWM.