Organizations face many points when integrating data from different systems.
- It currently takes a long time to derive value from data
- It takes a long time to implement a machine learning model.
- There is a general lack of awareness of what data is available in an organization.
- Business, product and data teams often work in siloed environments, creating a lack of awareness of what work has been done with data.
- Lack of alignment between stakeholders – data engineering, ML teams, business, product and the end users.
Our data integration and modeling platform is a full life-cycle data to knowledge platform focused on alleviating those pain points. The platform:
- Quickly transforms siloed data into domain specific knowledge
- Creates the data fabric infrastructure needed to drive data innovation across your organization
- Enables your data team to rapidly deliver data products and services with minimal coding
The platform combines machine learning with human touch-points to efficiently curate, visualize, and understand multiple, dynamic data sources. Data scientists and data engineers use our platform to rapidly integrate data, construct custom data models, create APIs, and deliver new data products, services, and tools.
Platform Features:
- Integrate multiple data sources into one graph database
- Automate data workflows
- Visual representations of your data models
- Match data across data sources with native machine learning
- Add levels of intelligence on top of your data
- Collaborate on custom data models
- Create APIs to integrate with your products and services
- Dashboard to manage your databases
- Democratize access to your organization’s data
Discover the knowledge hidden in your data and amplify it across your organization.
Contact us to request a demo or to get more information.