Lagom Data Governance
Data privacy and protection are really important problems to be solved for all companies especially in a world that collected data is increasing which includes personal data.
Personal data is defined as any information relating to an identified or identifiable natural person (‘data subject’); an identifiable natural person is one who can be identified, directly or indirectly, in particular by reference to an identifier such as a name, an identification number, location data, an online identifier or to one or more factors specific to the physical, physiological, genetic, mental, economic, cultural or social identity of that natural person according to GDPR.
On the other hand, protecting such data, preventing information leak and running an operation to be aligned with regulations or any other purposes is a challenging task.
Lagom Data Knowledge Platform can connect to any data source including both structured (i.e. databases) and unstructured (i.e. file systems, e-mails, documents) then can search, analyze, report, make predictions, and also take automated actions on them via static or ML-based rules as blazing fast and provides a Data Governance solution [1].
Lagom Data Governance Flow
Lagom does not need installing agents on your systems and can you can run it as on-premise. Lagom requires to write permission only for desired operations as an optional choice as like defining actions which modify data.
Our platform provides an Authority Matrix and all the access, read or write operations can be defined to provide more granular security. Actions taken on the platform, search operations or managing the platform itself can be controlled by Authority Matrix.
You can connect your existing authority systems i.e. LDAP implementations and all operations are done respected to related authorities. After that, you can connect any type of data sources i.e. SQL data source, NoSQL data source, Documents (Word, Excel, PDF, Images, etc.), E-mail, Exchange, Office365, Dropbox, Google, IBM FileNet, Alfresco or any other CMS systems to start discovery.
The next step is defining procedures, policies, and concepts for your data. Procedures and policies are semantic definitions for your data governance operations. Concepts are complex search bundles that include dictionaries, advanced search queries, and functions. One of the powerful features of Lagom is, concepts can be defined any time and does not require a re-discovery. Concept results are cataloged according to your custom or predefined or definitions.
After all, you can define actions and retentions for your cataloged data. Actions and retentions can be scheduled time-based and triggered at defined certain conditions. These can be asking an explicit consent from your users, archiving, pseudonymization or anonymization operation, or any other function you have defined. As an example, you can detect whether district information resides at your data or not and then replace it with any other district which is close to 5 miles to the original one.
Lagom also reports analytics data both for ongoing processes and for overall data. On the other hand, it extracts quality metrics of your data i.e. duplicate documents or unnecessary columns at a database table.
All in all, Lagom provides a Data Governance solution to discover structured and unstructured data, catalog sensitive data, take automatic actions as like pseudonymization or anonymization, create reports, notify authorized people to prevent data breaches and provide cybersecurity.
If you think that you are a good fit for Lagom and want to work with us, send your resume to career@lagom.ai
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