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Data warehousing and OLAP for decision support

1997/06/01 by Surajit Chaudhuri, Umeshwar Dayal
Business, Management and Accounting · Computer Science · Decision Sciences · #Advanced Database Systems and Queries #Big Data and Business Intelligence #Data Quality and Management

paper · doi:10.1145/253262.253373

openalex publication_date 1997/06/01 · openalex created_date 2017/01/06 · openalex updated_date 2026/06/11

Abstract

On-Line Analytical Processing (OLAP) and Data Warehousing are decision support technologies. Their goal is to enable enterprises to gain competitive advantage by exploiting the ever-growing amount of data that is collected and stored in corporate databases and files for better and faster decision making. Over the past few years, these technologies have experienced explosive growth, both in the number of products and services offered, and in the extent of coverage in the trade press. Vendors, including all database companies, are paying increasing attention to all aspects of decision support.

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