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2013 | Buch

Data Quality in General Kapitel lesen Erstes Kapitel lesen

Data Quality for Decision Makers

A dialog between a board member and a DQ expert

verfasst von: Guilherme Morbey

Verlag: Springer Fachmedien Wiesbaden

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

Currently many companies are confronted with the decision how to deal with the new data quality requirements of the regulatory authorities. Future data quality statements for enterprise key figures and their origins are being demanded. Applying methods of a data quality management system can produce these statements best. Guilherme Morbey explains the introduction of such a system in the form of a dialogue.

Inhaltsverzeichnis

Frontmatter
1. Data Quality in General
Abstract
At the appointed time they first meet at the manager’s office. It is up to your imagination to picture the cultivated ambience and the old friends’ convivial greeting ritual. Both quickly get down to business.
Guilherme Morbey
2. Organisational Requirements
Abstract
Some time ago, we encountered 45 DQ criteria. To us it seemed important to determine how they might be checked and we found the following six essential checking methods:
  • Methods which should be covered by expert’s approval (e.g. interpretability, granularity, necessity)
  • Surveys (e.g. objectivity, relevance, intelligibility trustworthiness, added value)
  • Methods covered by IT security /business monitoring (e.g. access opportunity, access security, temporary availability)
  • Automatic measuring methods
  • Methods requiring a visual inspection or a document check (traceability, normative consistency, origin)
  • Methods comprising audits / follow-up examinations (e.g. applicability, applicability of audits)
Guilherme Morbey
3. Technical Requirements
Abstract
At the next and provisionally last scheduled meeting, a few of the previous topics are summed up, in order to brief the colleague from IT. The atmosphere remains very familiar; all know each other for years. The participants from the customer side will not be further differentiated in the following section.
Guilherme Morbey
4. Stumbling blocks
Abstract
Up to this point your explanations appear very comprehensible and well elaborated. So why is the topic of data quality so difficult to convey?
Guilherme Morbey
5. Factors for Success
Abstract
Now, what are the most critical factors for the successful introduction of a DQ system?
Guilherme Morbey
6. Perspective
Abstract
Thank you! Although all these new ideas and impressions still have to settle down, I would like to know what will be next, after we are through with DQ?
Guilherme Morbey
Backmatter
Metadaten
Titel
Data Quality for Decision Makers
verfasst von
Guilherme Morbey
Copyright-Jahr
2013
Verlag
Springer Fachmedien Wiesbaden
Electronic ISBN
978-3-658-01823-8
Print ISBN
978-3-658-01822-1
DOI
https://doi.org/10.1007/978-3-658-01823-8

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