Data Quality - Further Information

Voracity’s key strength is its ability to not just deliver broad data integration and transformation functionality, but to deliver it within a unified, centralised, integrated platform.

Voracity’s key strength is its ability to not just deliver broad data integration and transformation functionality, but to deliver it within a unified, centralised, integrated platform.

Bloor Evaluates the latest SAP Data Quality offering, a cloud-based solution that will gradually supersede its previous data quality products.

Market Update of the Data Quality Enterprise Software Market in 2022, including data profiling, merge matching, data enrichment, data cleansing, monitoring.

This Market Update focuses on vendors specialising in data quality that do not also provide data integration capabilities.

Datactics is a data quality platform oriented around self-service. It provides solutions for data quality, data matching, and single customer view.

Data Ladder provides a data quality management suite that includes all the sorts of capabilities that one would expect.

DQ Global offers a number of different products, all of which are focused on data quality and all of which are targeted at customer data.

D&B Optimizer is a data quality offering targeted at B2B environments and it is aimed at managing both customer and supplier relationships.

Experian Aperture Data Studio is a data quality and enrichment platform that includes data profiling and data quality analysis.

Global IDs’ product portfolio consists of a number of individual tools within the Data Ecosystem Evolution Platform.

The Syniti Knowledge Platform (previously BackOffice Associates) is a single product providing a unified solution for data management.

Experian SCV consists of several components, the main one of which is Experian Aperture Data Studio along with various other elements.

Alex Solutions is an enterprise level solution for metadata management, as well as data governance, data stewardship, data cataloguing, and data quality.

Informatica Axon Data Governance is a data governance product that supports data stewardship, data quality and data monitoring.

In this paper, we have identified the potential significance of a wide range of data-based technologies that impact on the move to a data-driven environment.

And it's not Data Stewardship, either

This paper discusses why data lakes need to be managed and the sorts of capabilities that are required to manage them.

This paper discusses the EU's forthcoming General Data Protection Regulation (GDPR) not from a legal perspective but from the point of view of data management.

Data profiling can be used for more things than just supporting data quality

By data quality we mean both data cleansing (matching, deduplication, error correction, enrichment et al) as well as data profiling and discovery.

This paper discusses the benefits of automating the discovery of data quality issues through the use of data profiling technology.

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.

Identity Insight from IBM is not a data quality product

The Solvency II Directive for insurance and reinsurance companies in the EU comes into force on December 31st 2012.

Talend is established as the leading open source provider for data integration and the introduction of a unified data management solution represents a major step forward for the company.

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

I admit to entering false information into web sites but is it my fault?

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

Like most companies we are always trying new methods of visualisation to better understand and communicate our message. One technique that we have recently introduced is what we call a market map,...

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 examines the practical use and implementation of Silver Creek Systems' semantically-based DataLens System in specific customer situations.

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

Pitney Bowes Customer Data Quality (CDQ) Platform represents a suite of modules that, between them, constitute a broad-based, general-purpose data quality offering.

dn:Director from Datanomic is a single product with a single repository that encompasses all of the sorts of facilities that are needed for data quality purposes.