Data and Business Analysts: Our no coding data transformation and machine learning solutions mean you can use analytics to assess business operations, understand new requirements and deliver data driven recommendations to business teams. Automated processes mean individual and team-based projects driven by data can deliver value faster as focus is spent on insight discovery, not on completing time-consuming data management tasks. Results from analytics are easy to understand and easy to share across the organization.
Data Scientists: Your time is valuable, and in high demand. Spend your time building model prototypes, not on time consuming tasks such as data access, data transformation and feature engineering, or model testing. Build and deploy prescriptive strategies using advanced ML algorithms such as deep learning. Automatic error free code generation means you can quickly and efficiently build workflows including complex models using an interactive interface and put them into existing analytic applications written in R, Python, SAS, PMML, or other languages.
Data Engineers: Do not let existing IT and legacy infrastructures stand in your way as you architect a data pipeline that centrally organizes the collection and storage of information. Whether the data is structured, unstructured, or is data being streamed in real time from edge devices, build out your storage environment as you see best. Our platform integrates with Big Data and cloud solutions, and with databases to data warehouses. Enable your organization to use many sources of data, regardless of their formats. Centralize where trusted data sets can be found and govern who can access them for use in analytic projects.
