Data Quality - Where's the Value?

TCO is often overlooked and under-researched. We are aiming to rectify this matter across a range of data management issues.

Experian Software has asked us to speak to some of its customers and to evaluate whether or not its claims are borne out in practice as well as in theory.

What do you want from data matching/cleansing software? Key requirements, needless to say, are that the solution be inexpensive and easy to use.

It should be clear from the preceding discussions that there is much to be said in favour of a platform-based approach to data quality.

Infoglide competes with IBM in the identity resolution space but the both potentially have an issue.

Data quality is too important to your business to leave it to the chance of a tick-box.

This paper is organised into two parts. We will discuss the importance of operational data quality in various scenarios and consider the technical requirements.

In this paper we argue that a more progressive and pervasive approach to data quality initiatives is required.

This is the last of four Market Updates on data discovery, data profiling, data cleansing, and data quality platforms respectively.

The third of four Market Updates on data discovery, data profiling, data cleansing, and data quality platforms respectively.

This paper discusses the advantages of data mastering and, in particular, its relevance to MDM.