Data Scientists Not Required: Promises the recently launched Alteryx Analytics 9.0

Alteryx Analytics 9.0 blends new sources of customer Insight such as Social Media, Google Analytics, and Marketo with data from legacy environments such as SAS Analytics.

AlteryxThe recently launched Alteryx Analytics 9.0 helps yield valuable data insights for organizations and analysts across all industries. "Through user-centric design and the most scalable analytics platform, Alteryx destroys the barrier for the non-PhDs to make data-driven decisions," said George Mathew, President and COO of Alteryx. "We're delivering a high fidelity experience to blend data and build advanced analytic models without being a programmer. Alteryx is the software instrument of change for all analytical leaders from the back office to the boardroom."

Over the past five years, the amount of customer insight data available to organizations has grown rapidly and with no signs of slowing down. These disparate datasets contain a wealth of information that can be leveraged to drive customer-focused decision. However, very few tools that are usable by analysts have kept pace with the expanding range of data, let alone provided the ability to blend varied data together to perform spatial and predictive analytics tasks. Alteryx uniquely meets these requirements by delivering insight from the major and emerging repositories of customer insight information, including the following new sources added in the 9.0 release:

  • Social media data feeds from DataSift - With DataSift and GNIP support, Alteryx allows analysts to bring these new sources of insight into any analytical workflow.
  • Sales and marketing data from Google Analytics and Marketo - Building on the existing integration Alteryx empowers analysts to blend data from across the full sales and marketing lifecycle.
  • Emerging customer-data centric enterprise-scale data warehouses such as Amazon Redshift, Pivotal, Greenplum and HP Vertica - Alteryx provides for simple integration of these data sources without long IT work cycles in order to deliver a complete picture of customer engagement.

What is Data Blending?

Data blending is the process of combining data from multiple sources to reveal deeper intelligence that drives better business decision-making. Data blending differs from data integration and data warehousing in that its primary use is not to create the single, unified version of the truth that is stored in systems of record. Rather, business and data analysts use data blending to build an analytic dataset to assist in answering a specific business questions and driving a particular business process. Data blending
Alteryx Analytics 9.0 delivers an easy-to-use and ultra-scalable platform for predictive analytics, as well as a new server solution and a simpler creation of analytic apps that can handle the most sophisticated, enterprise-class requirements. New capabilities include:
  • Integration of the Revolution Analytics platform to simplify and scale predictive analytics beyond the memory limitations of R
  • Simpler creation of analytic apps through an intuitive UI design built directly into the Alteryx workflow
  • New on-premise server solution that unifies the user experience for analytic app consumers across the server and Alteryx Analytics Gallery ( Apps can be published to either environment with a single click.

Besides, Alteryx also provides read/write capabilities for SAS as well as IBM SPSS files. Alteryx product view Alteryx and Qlik, a leader in user-driven Business Intelligence (BI), have created a partnership to put more powerful analytics into the hands of data analysts and business users by integrating their products through leveraging predictive analytics from Alteryx, and then outputting directly into Qlik's searchable discovery platform. This integration is now completed as part of the Alteryx Analytics 9.0 availability.

Product Availability

Alteryx Analytics 9.0 is available for customers to download today. A 14-day trial is available at