Audit
Audits data and track who is accessing your data on the platform, what they accessed and when.
Bring Your Own Tool
Supports a wide variety of tools for data and analytics to meet different agency needs, and integrates with a consistent approach to data engineering services.
Data Catalog
Tag data, search for data and collaborate with other users to make data sharing more efficient and pervasive.
Data Lineage
Tracks the flow of data on the platform, both upstream and downstream.
Data Portability
Data warehouse and modern analytics solutions can be deployed at scale on cloud technology stacks to leverage migrated data.
Data Prep and Profile
Connect to the platform and quickly profile, analyze and cleanse data for downstream analysis with minimal coding required.
Data Sharing
Processes for agencies to efficiently own their data, manage access, and share data across the state.
Data Transformation
Wrangle and transform the data in a variety of different ways and get it modelled into a specific format for downstream analysis.
Data Warehousing
Processes for optimizing or re-platforming data warehouse solutions.
De-identification
De-identify sensitive data on the platform, while still making the data usable for analysis and link it to other data sets.
Entity Resolution
Links data sets with no common join keys using fuzzy matching logic.
Library and Code Management
Collaborate share, review and manage code more efficiently for data analytics initiatives.
Relational Search
Provides the ability to search data through natural language processing (text search or voice search), rather than SQL or programming.
Search Configured Data Patterns
Recognize patterns within large, complex data sets to provide focused business outputs.
Provides rich and secure capabilities to harness the power of the analytics platform, leveraging user friendly and pre-configured technologies. The self-service data management product supports a bring-your-own-tool approach allowing analysts and data scientists to work on the platform with the technologies they are most comfortable using.
