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Data Profiling and Discovery - Further Information

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00002448 - EXPERIAN SCV InDetail cover thumbnail

Experian SCV

Experian SCV consists of several components, the main one of which is Experian Aperture Data Studio along with various other elements.
Cover for GDPR and the MENTIS Data and Application Security Platform

GDPR and the MENTIS Data and Application Security Platform

This paper considers the requirements of GDPR and then discusses how MENTIS meets those requirements.
Cover for The Sensitive Data Lifecycle: IBM vs Informatica vs MENTIS

The Sensitive Data Lifecycle: IBM vs Informatica vs MENTIS

This paper compares the capabilities of IBM, Informatica and MENTIS for the discovery and governance of sensitive data.
Cover for What's Hot in Data?

What’s Hot in Data

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.
Cover for Managing Data Lakes

Managing Data Lakes

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

Discovering data occurrence

In this paper, we examine how to find occurrences of sensitive data and we consider the different techniques that are currently available.
Cover for The data management implications of GDPR

The data management implications of GDPR

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.
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Profiling is not just about quality

Data profiling can be used for more things than just supporting data quality
Cover for Data Profiling and Discovery Market Update 2013

Data Profiling and Discovery Market Update 2013

While there are trends towards including more discovery capability and towards supporting NoSQL the vendors are significantly fragmented at present.
Cover for Data profiling: the business case

Data profiling: the business case

This paper discusses the benefits of automating the discovery of data quality issues through the use of data profiling technology.
Cover for Saphir from Silwood Technology

Saphir from Silwood Technology

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...
Cover for Understanding Data

Understanding Data

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.
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Is data profiling enough?

REVER has introduced the concept of program profiling as a complementary function to data profiling
Cover for Data Profiling Market Update 2009

Data Profiling Market Update 2009

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