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 * Home
 * About Us
 * Products
    * Overview
    * D&M for Outlook
    * D&M for Office365
    * D&M for Hybrid

 * Events
 * Prices
 * Contact

В© 2017, Data & More ApS Flaesketorvet 68, 1711 Kbh V, Denmark. CVR-nr:
38185659. All right reserved

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D&M TOOLBOX


Automated Data Compliance


WE DELETE ILLEGAL DATA





GDPR, CCPA and PIPEDA makes it illegal for organisations to keep any personal
data that you cannot document legitimate interest in. The D&M GDPR, CCPA and
PIPEDA Toolbox gives end-users an overview of potential unlawful data. It
provides a simple interface to remove unwanted data from email, file share,
teams SharePoint, and other data repositories.

You can define specific data polices and rules how to handle the non-compliant
data and identify key documents types (e.g. salary slips, job application,
travel documents) that you handle in your organization.  

You can monitor your level of compliance across your data sources like mails,
attachments, file shares, laptops, SharePoint, Intranet and any other data that
can be connected to the Toolbox.

There is no need to ask your employees to go through many years of collected
documents, mails and attachments. The toolbox can handle the job without
interfering the daily routines of your employees, much more efficient and with
better results.  And the toolbox will continue to monitor the data to keep you
compliant.

The toolbox can even move or delete non-compliant mails and documents from eg.
Office365

Simply connect your data directly from the interface, let the toolbox do a quick
analysis, and you get a first view of how much personal data you have, where it
is located and the risk of being non-compliant.

You can easily set up data policies and document rules and instantly follow the
level of data compliance across the organisation and all profiled data as the
toolbox continuous to keep an eye on the data.




INSIGHT

Dashboard

How compliant are we? What departments work in a non-compliant way? What data
policies are not being followed? Where is the sensitive data located?




RECOGNITION

Automatic

By utilizing combinations of taxonomies, regEx and Natural Language processing
(NLP) and any client specific inputs, the toolbox identifies sensitive and
personal data




SPEED

High Performance

One thing is finding the needles in the haystack - the other thing is how fast
it takes. You decide the speed. It is just a matter of hardware.




RESOURCES

Time for coffee

Our concept is automation - whenever possible. And minimal involvement. So don't
expect a need for new colleges.




By utilizing a combination of taxonomies, regEx and Natural Language processing
(NLP) our profiler can identify a wide variety of texts. Including all of the
GDPR category 9 expressions such as health terms, financial indications,
political and sexual orientation, biometric information empowerment.






TECHNICAL INFO

General information on e.g. amount of data attached and scanned, speed and
status


ORGANIZATIONAL COMPLIANCE INFO

Compliance and risk status for the organisation, business unit and each
department with the related policy breaches


ORGANISATION COMPLIANCE

Overview of compliance on a departemental (or employee) level to help on
behavior transformation


POLICIES NOT FOLLOWED

Information on trends and what data policies are not followed


DOCUMENT COMPLIANCE

Insight in compliance handling for each document type (e.g. salary slips, job
applications, bonus sheets)




DASHBOARD, OVERVIEWS AND REPORTS





What is our risk status? How compliant are we? Which departments work in a
non-compliant way? Which data policies are in risk? Where is our sensitive data
located? What are our high risk areas? These questions and many more are
answered quickly using our dashboard. 

You can easily even create your own reports, with the content from the toolbox
that suits your needs.





What constitutes personal data besides what is stated in GDRP differs from
organizations to organization and is often influenced by business segment,
culture and context.






NAMED ENTITY RECOGNITION & GDPR ARTICLE 9 INFORMATION





By utilizing a combination of taxonomies, regEx and Natural Language processing
(NLP), our profiler can identify the content of e.g. mails, attachments and
documents. Including all of the GDPR article 9 expressions such as e.g health
terms, financial indications, political and sexual orientation and financial
information. By combining article 9 expressions with terms that identify data
subjects or could lead to identification (PII), the toolbox detects Personal
Data.

You can even supplement and customize your definitions of Personal Data to match
the way it used  in your organization.



For each source the user can select which dictionaries as well as languages that
should be used to analyze the source documents.






CUSTOM TAXONOMIES





We currently have more than one million entries in our taxonomies and are 
expanding these when necessary.

The user can also add client specific dictionaries and RegEx and rate the impact
of the custom factors with respect to sensitivity and to what extent the entry
can be used to identify or infer data subjects.



Depending of the clearance the user can have access to the labels or to the
labels as well as the label values. E.g. First Name is the label and David is
the name.






LABELS





When the toolbox is profiling your data, it sets the relevant labels for each
document (or data set) that is connected to the toolbox along with a range of
other metadata, e.g. document age, creation and modified data and other key
points that is relevant for how the data should be classified and handled. All
these data can be used to filter, search or be included in a report 




DATA SOURCES AND FILE TYPES



Out of the box D&M 2.0 CLOUD can connect to Office 365 including Outlook,
OneDrive, OneNote and SharePoint documents stored in OneDrive as well as gDrive
including all Google apps document types. D&M 2.0 also provides a RESTful API
that can be used for custom reporting

The toolbox supports data sources based on Windows, Linux and MacOS file shares
as well as Windows laptops. All the data sources can be mapped to specific
departments used as parameters when setting up data policies and included when
handling document classes






DOCUMENT CLASS BUILDER





In order to make the most effective data polices, it is often efficient to
identify a number of different document classes that your Data Policies can use.
Document classes can be build using Labels and text value. An employment contact
might be defined as a document containing the words “Employment contract” OR
“Ansættelseskontrakt” and FULL_NAME” AND CPR. This might not identify an actual
contract, but a mail with the information for a contract. Never the less both
instances should be identified as sensitive personal data. If one would like to
“only” identify employment contracts as a document and not mails about
contracts, the user would add document Type is .doc in order not to find mails.


DATA POLICY BUILDER





One of the core features of the toolbox, is the unique opportunity to define
data policies and monitor the compliance levels directly.

The user can easily set up any number of data policies by using logic operates
and wildcards on  e.g. document classes, data source, departments, a specific
file folder, data label, document dates and type, data type as well as any GDPR
article 9 labels or any custom defined label.



The Toolbox can support the organization on many of the ways the non-compliant
data can be handled.






DEPARTMENTS & USERS





The toolbox lets you create multiple users and assign the users to different
departments to be able to access, manage, and get insight. Each data source,
account or folder within a data source can be assigned to a department. By
assigning users to departments, you restrict the access of the user to a
specific data set. This is very useful if the usage, cleanup and monitoring
process is distributed to several departments within the organization.


NON-COMPLIENT DATA HANDLING





Organizations have various ways to handle the identified non-compliant data.
Some choose on a monthly basis automatically to inform the relevant employees
with a list of the non-compliant mails and documents, some organizations have
their Toolbox responsible (or DPO) to contact the individuals, while other
organizations choose to automatically clean or move the related data to a more
secure area. The handling depends on e.g. company culture, risk, severity,
compliance maturity and company size. The Toolbox can support the organization
on many of the ways the non-compliant data can be handled.



The Toolbox quickly lists all relevant data sets and their location.






SEARCH ACROSS ALL DATA SOURCES





The Toolbox has extremely powerful search functionality, and can in just a few
seconds locate all documents, mails and attachment related to a specific person
(data subject) or specific search words and filters. This is done across all
profiled sources and departments in the organization. The Toolbox quickly lists
all relevant data sets and their location.



D&M 2.0 ON PREMISE also supports Windows, Linux and MacOS file shares as well as
Windows laptops.






TYPES OF INSTALLATION





The Toolbox can be installed on-premises at the client site, at a hosting
partner or be used from a GDPR, CCPA and PIPEDA approved Cloud environment.

Our cloud version can instantly connect to Office 365 including Outlook,
OneDrive, OneNote and SharePoint documents stored in OneDrive, as well as gDrive
including all Google apps document types. The toolbox also includes a RESTful
API that can be used for custom data integration to e.g. a Business Intelligence
site

Our on premise also supports Windows, Linux and MacOS file shares as well as
Windows laptops.


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В© 2017, Data & More ApS Flaesketorvet 68, 1711 Kbh V, Denmark. CVR-nr:
38185659. All right reserved

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