Trust in Data - Further Information

This market update is an overview of the Master Data Management (MDM) market in 2022, covering leading vendors, market dynamics and current trends.

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.

Increased privacy regulation and public awareness have made it more important than ever to handle sensitive data ethically. But what does that mean in practice?

Federated master data management is a new and vital approach for trusted data in the modern enterprise.

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.

This (Cloud) Data Management report compares platform-based approaches that support data integration to/from cloud-based deployments.

The basic concept behind the Talend Data Fabric is to allow you to collect, govern, transform, and share your data.

SOLIXCloud is a cloud data management platform from Solix Technologies that provides four primary solutions.

The Qlik Data Integration Platform is essentially a melding of the capabilities provided through the acquisitions of Podium Data and Attunity.

Oracle’s data management capabilities span the establishment of (cloud-based) data warehouses and data lakes.

The Intelligent Data Platform encompasses data integration, quality, governance, MDM, cataloguing, privacy, application integration, and more.

IBM Cloud Pak for Data places particular emphasis on deploying, developing and managing AI and machine learning models.

The Lumada DataOps Suite from Hitachi Vantara supports everything from ingestion through to analysis and dashboards.

Cloudera Data Platform offers data integration, data governance, data cataloguing and transformation capability but not data quality per se.

Ataccama ONE encompasses data integration, data cataloguing, data profiling and data quality, and both reference and master data management.

MarkLogic Data Hub is a fully cloud-native platform for data storage, integration, operationalisation and governance.

Data is not the only contributor to digital transformation, but it is a key asset that can enable those transformations.

Powered by CoSort (or Hadoop), and built on Eclipse, IRI Voracity is a multi-purpose data management platform.

Data governance, as a space, has matured significantly over the past few years. This Market Update examines and competitively evaluates the vendors therein.

This Market Update discusses, reviews and compares products specialising in the discovery of sensitive data.

Ab Initio Semantic Discovery is a data discovery solution offered as part of Ab Initio’s broader data management platform.

The Lumada Data Catalog from Hitachi Vantara is a data catalogue targeted at both the enterprise data lake and traditional data environments.

Seeker DLP finds sensitive data within files on Windows and Macs, across SMB-based file servers and web servers.

STEALTHbits supports discovery against a comprehensive list of file systems, SharePoint and OneDrive, Exchange, Dropbox, Oracle and Microsoft SQL Server.

DataSunrise supports the discovery of sensitive data across a wide range of both relational and NoSQL data sources.

Solix Common Data Platform acts as a one stop shop for the management and governance of all enterprise data.

Dataguise started by offering sensitive data discovery and masking but now includes, additionally, encryption/decryption and extensive reporting.

MENTIS iDiscover offers a range of modules that cover all necessary functions for discovering, protecting and monitoring sensitive data.

BigID specialises in (sensitive) data discovery and classification and unlike other vendors has been built from the ground up to concentrate in this area.

Enterprise Recon offers enterprise-wide discovery of personal, PII and PCI data in accordance with a wide range of compliance regulations.

Informatica Data Privacy Management is a datacentric privacy, governance and security solution that is focused on discovering and classifying sensitive data.

Global IDs offers data discovery and classification as part of its EDA platform, thereby providing sensitive data discovery and compliance with regulations.

This report is about assuring the quality and provenance of your data from both internal and external perspectives.

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.

This paper considers the requirements of GDPR and then discusses how MENTIS meets those requirements.

This paper compares the capabilities of IBM, Informatica and MENTIS for the discovery and governance of sensitive data.

Data catalogues are hot. Why? Why should you care? What can they do for you?

This is a companion paper to one we published in 2017. We outline a methodology for building a business case in support of implementing suitable data lake management software.

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.

In this paper, we examine how to find occurrences of sensitive data and we consider the different techniques that are currently available.

There have been significant changes in this market over the last twelve months.

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.

FreeSight is marketed as a data prep tool. At heart it is a product for capturing and managing repeatable Excel processes.

There have been significant changes in this market over the last twelve months.

Data preparation is the meat in the sandwich between data sources on the one hand and business intelligence, analytics and visualisation on the other.

Data preparation is the art, or science, of combining data from multiple sources and preparing it for analysis.

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.

While there are trends towards including more discovery capability and towards supporting NoSQL the vendors are significantly fragmented at present.

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.

It is not often that one can give an unequivocal recommendation for a product or technology. There are nearly always some sort of mitigating or offsetting factors...

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.

There are lots of approaches that you can take to legacy migrations and to new application development. We don't know any, apart from REVER, that allow you to do both.

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

REVER has introduced the concept of program profiling as a complementary function to data profiling

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.

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

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.