Ensuring enterprise application datasources and processes are fully compliant of CCPA and HIPAA regulations in United States.
Our target division at automaker is a well-known automobile manufacturing agency that is committed to producing high-quality vehicle and distributing them all over the world. They have been in market for years and got a diverse range of vehicles.
Due to the CCPA and HIPAA compliance requirements, the first step is to identify required sensitive data present in the enterprise for the division located in United States.
The division has 100s of different data sources such as Oracle, SQL Server, File System, Hive etc. They also use Informatica PowerCenter, Informatica Platform, and Informatica Intelligent Cloud Service for moving data between systems. The databases consisted of 100-5000 tables in volume perspective and had a data volume of 20GB-2TB. So, the challenge is to identify the sensitivity across data as well metadata of all applications.
The goal is to have a data governance policies to keep track of their sensitive information within the enterprise and keep track of the movement of sensitive information across data sources to be able to detect, protect and audit.
Discover, map and classify the end-to-end flow to drive data accuracy, reliability and security.
Integrate with next-generation technologies and applications to efficiently govern and manage data for the new-age business.
Provide a structured data governance training to develop awareness to manage the increased scale, complexity and proliferation of data.
Kanerika’s experts have created a data governance model that can identify the PHI & PCI sensitive information in the enterprise. The tool used for data governance is Informatica Enterprise Data Catalog and Informatica Axon. Informatica Enterprise Data Catalog does the task of identifying the sensitive information and movement of these sensitive information. Informatica Axon facilitates a collaborative environment to collect different data objects (metadata), link them and control access to it.
Due to heterogeneous datasources types, solution included different mechanisms to connect to various sources to identify the sensitive information.
Kanerika has designed the data system architecture to identify and keep track of the sensitive data within the data sources. Also team created new patterns to identify sensitive information that are custom to their organization.
Finally, the data governance architecture was implemented to assure the sensitive data security and ability of detail analysis for the enterprise data analytics needs.
Security team can easily identify any data security breach through the new data architecture. And this allowed them to take action momentarily. Easy identification of PHI and PCI sensitive information within the enterprise.
The executive gets detailed information on their products and delivery processes. It also shows what kind of data is present in the systems. Enabled data readability for the data security team for CCPA and HIPAA regulation compliance.
Security team can easily identify where the sensitive data is flowing and take corrective measure on them. Also, keep track of data movement between the authorized data sources and alerting on any security breach.
Kanerika is a niche consulting firm building efficient enterprises with deployment of automated, integrated and analytics solutions. Kanerika enables efficient enterprises through its unique digital consulting frameworks and AIOps enabled compostable solution architecture. We partner with some of the top vendors to solve some of the critical data and process related challenges. We help some of the top brands across the globe in increasing their speed to respond in evolving market conditions, reducing their cost of operations, empowering them with the right tools and insights for effective decision making.