Data Warehousing

The Route to Mass Communication

Häftad, Engelska, 1996

999 kr

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Though companies have amassed an enormous amount of data, they haven't always been able to use it because it is unstructured, unintegrated, or polluted. This book shows how to transform this vast pool of data into information of strategic significance. Taking up where database marketing leaves off, it offers practical ideas for businesses to realize staggering response rates from mailings, focused marketing campaigns, and more.

Produktinformation

Utgivningsdatum1996-03-01
Mått151 x 232 x 14 mm
Vikt340 g
FormatHäftad
SpråkEngelska
Antal sidor228
FörlagJohn Wiley & Sons Inc
ISBN9780471963288

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Projektledning inom Ekonomi och Ledarskap
Databaser inom Data och IT

Seán Kelly is an author, lecturer, software engineer and international business consultant who has founded a number of separate businesses in the field of customer intelligence and information exploitation. Seán was formerly head of the European business intelligence division of Sybase Inc. and was a founder of the prestigious Data Warehouse network. His groundbreaking book Data Warehousing: The route to mass customization, published by Wiley in the early 1990s, was a major influence on the tide of business intelligence investment that occurred in the following decade. Seán is now involved in a new enterprise, based in Ireland, that is devoted to customer segmentation and profiling solutions.

Information Enterprises: The Early Innovators. The Case for Utilising Corporate Data: The Basis for Strategy. The History of Decision Support Systems: A Record of Failure. Defining the Business Requirements: Building an `Enterprise Model'. Mass Customisation of Products and Services--The Future Trend. Aligning the Data Warehouse with Organisational Culture--A Key Concern. Managing a Pan-Corporate Project--A Planning and Sponsorship Model. Justifying a Corporate Data Warehouse--The Business Case. Building the Corporate Data Warehouse--An Architectural Model. Choosing the Right Platform--The Technology Options. The Future--Threats and Opportunities. References. Index.