Using DataParser

dataparserCreating and implementing compliance and security procedures is a tough task – from identifying all your data at risk to choosing the right archive and creating supervision and eDiscovery procedures. Even data collection is not a uniform process. There can be data source limitations or infrastructure variables that out-of-the-box connectors cannot support. DataParser provides valuable options for data governance with customizable connectors and flexible deployments. 

The Usual Use Case: Daily Data Collection for Archives

The most common use case for DataParser is daily collection of users’ chats and files directly from data sources like Microsoft Teams, Slack, Webex, Zoom and Bloomberg. Sending this data each day into corporate archives and blob storage systems for compliance and business requirements.  Daily processed data flows into the archive and downstream systems used for eDiscovery. Policies and procedures in place ensure regulations are met and the data is governed accordingly.

Exclusive Projects

Historical Data Collections

 

 

Data Source Migrations
Custom Data Collections
eDiscovery Requests

The DataParser Process

DP Process

 

 

dataparser hub

DataParser connectors never disrupt users’ activities on any data source platform. Capturing data shouldn’t interrupt your work. DataParser collects from source APIs, exports and databases.
The ability to deliver to any archive, storage or eDiscovery system means procedures and archive queries can remain the same. The same policies in use for email and other data in the archive can now be applied to the newly ingested data types. With all processes and workflows intact, the only adjustment is reviewing the new data. Formatting applied by DataParser ensures the data looks just as it did in the source system.
Compliance teams typically perform eDiscovery in email archives and repositories, but DataParser is also an excellent solution for one-off data collections and eDiscovery requests for legal matters. The ability to configure collections for specific data types and filtered user groups makes DataParser a useful tool for responding to in-house or outside counsel. Regulators often request data with specific parameters so the ability to target a user at a specific time on a specific platform can be more effective than search the archive and culling through much more data.