Get Deeper Insights From All Available Data

The excitement surrounding Big Data analytics reflects a genuine opportunity for organizations to gain new sources of insight from new sources of data. With the growth of structured, unstructured, and semi-structured data there has never been a better time to drive improvements in customer engagement, process performance, and strategic decision-making. The challenge is that most solutions for Big Data analytics require either an army of specialists with Ph.D.’s and advanced computing degrees, or focusing on a single source of data such as Hadoop.

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. Alteryx gives organizations the power to 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), SAP Hana, Microsoft Azure SQL Database, Microsoft Analytics Platform System, IBM Netezza, 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

Big Data Analytics




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