DataSemantics Suite

Globality, productivity, compliance:
The software suite meeting all GDPR challenges

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Deploy GDPR compliance, drive global governance

Rever offers a complete GDPR software suite enabling you to meet the challenge of personal data identification, monitoring and protection.

The true challenge presented by GDPR lies in data identification. According to recent research, enterprises only master 15% of their data. This percentage is largely insufficient to respond to the requirements imposed by the European regulation.

The DataSemantics Suite allows you to take back control of all your organisation’s data, avoiding at the same time a tedious manual processing.

The software is based on automated and industrialised tools in order to identify and leverage your organisation’s data.

DataSemantics Suite enables you to :

  1. Identify and truly liberate all of your data

  2. Manage compliance at the legal, organizational and technical levels

  3. Drastically limit manual interventions and boost productivity

  4. Standardise your processes

  5. Maintain continuous compliance

  6. Accelerate your governance projects

  7. Create and maintain digital trust

A complete software suite

DataSemantics Suite allows you to deploy GDPR-compliance on 3 distinct levels – legal, technical and organisational – and consequently supports all stakeholders in your organisation.

Several modules enable you to meet the following key points :

  • Processing register
  • Individual register (rights of individuals)
  • Data and technical processing inventory
  • Data anonymisation/pseudo-anonymisation
  • Content audit
  • « Privacy by (re)design »
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Data mapping : databases, tables and sensitive data

Automated in-depth mapping

  • Automatic identification of relevant databases (based on a predefined dictionary)
  • Intuitive navigation : Snapshot in clickable bubbles
  • In-depth analyses and exploration, down to the data level

Database exploration

  • Bubble display of databases across all applications and servers
  • In-depth view of the tables
  • Data sensitivity rendering in colour (the darkest table contains the most sensitive data)

Data mapping : clusters & filters

Cluster documentation

Clusters, or tables sharing common data, are automatically identified and visualised, allowing you to anticipate the risks related to potential processing operations (migration, anonymisation…)

Applying filters

By using filters, you can refine your search and discover where a certain type of data is located. Filters are created using predefined rules in a dictionary.

Operating dictionaries

Swift navigation

Instant access to all relevant search results through a set of user-defined keywords.

Exploring the dictionary

Each dictionary is composed of concepts, each made up of a set of predefined or customisable rules.

By applying the rules, the relevant columns are automatically identified (see below).

Intelligent analysis : reports

Analysis reports

The launch of automated analyses tells you where a data type/concept is located, for example : “email address”.

A list with the exact locations (database, table and column) is generated. By validating the results by table, these data can be made accessible to information systems.

Sorting the results

You can sort the results in a user-defined order, notably on the basis of the information quality of every table.

For instance, when applying Rule2 (R2), a percentage denotes the information quality per table and the accuracy of the data in different fields.

Properties drill-down

By drilling down on “details”, you get direct access to the data properties.

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Resources to download