数据和业务分析师: 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.
数据科学家: Your time is valuable, and in high demand. 花时间构建模型原型, not on time consuming tasks such as data access, data transformation and feature engineering, 或模型测试. 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, 情景应用程序, PMML, 或其他语言.
数据工程师: 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. 数据是否结构化, 非结构化, or is data being streamed in real time from edge devices, build out your storage environment as you see best. Our platform integrates with 大数据 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.