Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

The whole truth and nothing but the truth? The role of data quality today

The whole truth and nothing but the truth? The role of data quality today Purpose – Historically, firms have done very well in collecting a large volume of data. Unfortunately, the data are often collected and stored without proper consideration being given to how they will be used later. This paper aims to consider how firms can more effectively gather usable data. Design/methodology/approach – The methodology used was a conceptual approach using real‐time examples. Findings – The findings indicate that organizations do not lack for data – they lack high quality, analyzable data. Research limitations/implications – This paper does not provide an empirical sample. Future research should focus more specifically on the type of data firms collect and the reasons for collecting those data. Practical implications – The paper shows the difference between simply collecting data and collecting data, which can be used at a later date. Originality/value – The paper provides a blueprint for firms to enable more effective data collection and use. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Direct Marketing: An International Journal Emerald Publishing

The whole truth and nothing but the truth? The role of data quality today

Download PDF
11 pages

Loading next page...
 
/lp/emerald-publishing/the-whole-truth-and-nothing-but-the-truth-the-role-of-data-quality-cgifpbF0rf
Publisher
Emerald Publishing
Copyright
Copyright © 2007 Emerald Group Publishing Limited. All rights reserved.
ISSN
1750-5933
DOI
10.1108/17505930710779333
Publisher site
See Article on Publisher Site

Abstract

Purpose – Historically, firms have done very well in collecting a large volume of data. Unfortunately, the data are often collected and stored without proper consideration being given to how they will be used later. This paper aims to consider how firms can more effectively gather usable data. Design/methodology/approach – The methodology used was a conceptual approach using real‐time examples. Findings – The findings indicate that organizations do not lack for data – they lack high quality, analyzable data. Research limitations/implications – This paper does not provide an empirical sample. Future research should focus more specifically on the type of data firms collect and the reasons for collecting those data. Practical implications – The paper shows the difference between simply collecting data and collecting data, which can be used at a later date. Originality/value – The paper provides a blueprint for firms to enable more effective data collection and use.

Journal

Direct Marketing: An International Journal – Emerald Publishing

Published: Aug 28, 2007

Keywords: Data analysis; Data handling; Quality

References

  • Customer Data Integration: Reaching a Single Version of the Truth
    Dyche, J.; Evan, L.
  • Data warehousing special report: data quality and the bottom line
    Eckerson, W.
  • Seven deadly misconceptions about information quality
    English, L.P.
  • Improving Data Warehouse and Business Information Quality
    English, L.P.
  • IT analyst shares insights and best practices perspectives for data quality
    Friedman, T.
  • Data mining and profiling: unearthing and converting data into useful information
    Scarisbrick‐Hauser, A.