Data Quality Tools for Data Warehousing - A Small Sample Survey

Abstract

It is estimated that as high as 75% of the effort spent on building a data warehouse can be attributed to back-end issues, such as readying the data and transporting it into the data warehouse (Atre, 1998). Data quality tools are used in data warehousing to ready the data and ensure that clean data populates the warehouse, thus enhancing usability of the warehouse. This research focuses on the problems in the data that are addressed by data quality tools. Specific questions of the data can elicit information that will determine which features of the data quality tools are appropriate in which circumstances. The objective of the effort is to develop a tool to support the identification of data quality issues and the selection of tools for addressing those issues. A secondary objective is to provide information on specific tools regarding price, platform, and unique features of the tool.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA362923

Entities

People

  • M. P. Neely

Organizations

  • State University of New York at Albany

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Auditing
  • Commerce
  • Consistency
  • Data Mining
  • Data Warehousing
  • Databases
  • Extraction
  • Hong Kong
  • Literature Surveys
  • Migration
  • New York
  • Platforms
  • Social Security
  • Standards
  • Storage
  • Text Mining
  • Warehouses

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Systems Analysis and Design