Big Data analytics can offer strategic insights but most approaches for analysis require an army of data specialists. Dependence on external teams for help can length the time to insights while creating more layers of complexity.
Alteryx eliminates this challenge by delivering a platform for self-service data analytics that puts the value of Big Data in the hands of all analysts and decision makers. Take advantage of all data inside Big Data environments and combine it with external datasets to derive the maximum value of all available data sources.
Key Alteryx Capabilities for Big Data Analytics:
- Access, integrate, and cleanse data from Big Data environments such as Hadoop (including Cloudera, Hortonworks & MapR) or NoSQL (MongoDB), Amazon Redshift, Spark, Oracle or Teradata without waiting on other departments
- Prepare and blend data inside and outside Big Data environment in a repeatable workflow that eliminates coding and accelerates the time to insights
- Build sophisticated but accessible predictive, statistical and spatial analytic in a simple and intuitive, GUI-based, workflow design environment
- Simplify sharing of Big Data analytics via outputs to Qlik or Tableau, or interactive analytic apps that can be used by any decision maker
Alteryx can help you tap into the power of Big Data with our intuitive, self-service advanced analytics. Learn more by downloading the following white paper.