As data science investments expand and develop, expectations on their insights are also growing. However, most organizations lack the organization and operational tools to maximize benefits from these investments. AnalyticOps is in essence the lynchpin of an organization that connects data science, IT, and business teams. With AnalyticOps, companies are equipped to achieve the best ROI for their data science investments.
Clearly defined organizational responsibility for data science deployments
Organizational efficiency, allowing data science and IT teams to focus on their own responsibilities
Establish safe, repeatable processes for managing data science assets
Simplify the model deployment process and make deployment independent of model format and data stream types
Compute scale up and out with minimal disruption to the flow of business
Manages data science model lifecycles
Ensure model quality on live streams of data is satisfactory