Data is growing at an exponential rate, and the ability to make data meaningful can transform how state agencies deliver services. The Applied Analytics, Data Integration and Data Management products offer a variety of capabilities and tools to truly harness the power of applied analytics and secure enterprise data sharing to enable agencies to become more effective and efficient – moving from concepts to results through data-driven decision making. Our guiding principles are:
Data is a shared strategic asset for both operational and analytical purposes.
Data is secured and protected from unauthorized use and disclosure.
Data is governed by accountable entities, and state agencies are responsible for maintaining ownership of and stewardship for their data assets.
Data is reusable and should be integrated once with the highest possible level of granularity as to support multiple use cases.
Data is interoperable and value is multiplied when data sets are linked across programs and organizations.
Each data set provides new insights for agencies and programs, making data actionable to support innovative solutions to the complex problems that Ohioans face.
Data is growing at an exponential rate, and the ability to make data meaningful can transform how state agencies deliver services. The Applied Analytics, Data Integration and Data Management products offer a variety of capabilities and tools to truly harness the power of applied analytics and secure enterprise data sharing to enable agencies to become more effective and efficient – moving from concepts to results through data-driven decision making. Our guiding principles are:
Data is a shared strategic asset for both operational and analytical purposes.
Data is secured and protected from unauthorized use and disclosure.
Data is governed by accountable entities, and state agencies are responsible for maintaining ownership of and stewardship for their data assets.
Data is reusable and should be integrated once with the highest possible level of granularity as to support multiple use cases.
Data is interoperable and value is multiplied when data sets are linked across programs and organizations.
Each data set provides new insights for agencies and programs, making data actionable to support innovative solutions to the complex problems that Ohioans face.
Advanced Data Science
Perform advanced data analysis to reveal patterns and extract actionable insights
Data Exploration and Discovery
Provide tools for exploration and prototyping of large data sets
Data Ingestion and Transformation
Ingest data to cleanse, consolidate, and filter for downstream data analysis
Data Prep and Profile
Cleanse and profile data for analysis purposes
Data Sharing
Ingest diverse data sources to enable enterprise collaboration
Governance & Security
Provision privacy, security and authorization of use
Real-Time Streaming
Highly scalable, fault tolerant, distributed systems that support real-time streaming of data events
Visual Analytics
An interactive, visual interface that helps users tell a story with data from the platform
Workload Integration and Automation
Automate the data lifecycle and transform data to feed downstream analytics tools
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.
Provides the capability to combine information from a wide array of sources, applications and formats so that it can be analyzed to derive valuable business insights. Furthermore, data ingestion pipelines can be automated and governed, while ensuring secured access to the data.
Provides the ability to build analytical and reporting solutions to make data meaningful and transform how state agencies deliver their services. The applied analytics solution enables agencies to become more effective and efficient – moving from concepts to results through data-driven decision making.