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Mark Anderson appointed as Alteryx CEO to accelerate automation

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Alteryx, Inc. has announced that Mark Anderson, a current member of Alteryx’s Board of Directors, has been appointed to succeed Dean Stoecker, Alteryx’s Co-founder, Chairman, and current Chief Executive Officer, as Alteryx’s CEO. Mr. Anderson has a proven track record guiding enterprise technology organizations as they grow and scale, including as President of Palo Alto Networks. Mr. Stoecker has been appointed as Alteryx’s Executive Chairman and will continue to serve as Chairman of the Board of Directors.

“It has been a great source of pride to witness Alteryx grow from strength-to-strength under Dean’s leadership. Our network now extends to more than 6,700 customers across 80 countries, all supported by over 1,500 employees. As organizations globally recognize the need to digitize, we believe that automation will continue to be the key enabler in streamlining business processes and extracting untapped value from data. I look forward to working in close collaboration with Mark and our wider team, as we evolve our solutions and forge new ties to create positive impact for businesses both in the region and globally,” said Abboud Ghanem, Regional Vice President, Middle East and Africa, Alteryx. 

Updated Third Quarter Financial Outlook

Alteryx currently anticipates that total revenue for the third quarter ended September 30, 2020 will be in the range of $126.0 million to $128.0 million, representing 22% to 24% year-over-year growth, ahead of the previously issued guidance of $111.0 million to $115.0 million.

This is based on information available to Alteryx as of the date of this release and is subject to the completion of its quarterly financial closing procedures and review by Alteryx’s independent registered public accounting firm.  

Advancing the Automation Agenda

As the company continues to unify analytics, data science and data-centric process automation to accelerate digital transformation and time-to-value for companies across the globe, Alteryx announces its partnership with digital intelligence company ABBYY. By leveraging the ABBYY Process Intelligence platform and the Alteryx APA Platform, users can better initiate, analyze, predict and monitor end-to-end analytics, automating complex processes to fast track digital transformation priorities. The combined solution integrates Alteryx data access, transformation, advance analysis and machine learning capabilities with ABBYY’s process mining, analysis, monitoring and predictive process intelligence. The companies anticipate industries such as financial services, insurance, logistics and healthcare where gaps in insight can have a huge impact on the customer experience will benefit from this critical mix of advanced analytics and process intelligence capabilities to provide superior automation solutions for the most important business operations. 

Alteryx has also formed a strategic partnership with UiPath, the leading enterprise Robotic Process Automation (RPA) software company, to speed end-to-end automation across data-driven business processes. Together, UiPath and Alteryx offer a solution that empowers business leaders, analysts, data scientists and data engineers to increase operational efficiency and automate time-to-insight, bringing together the benefits of APA and RPA to drive faster business outcomes.

UiPath robots perform data collection and data aggregation from sources such as mainframes and legacy systems without APIs, unstructured data in documents, website scraping, OCR and more. The Alteryx APA Platform™ prepares, transforms and blends this data with disparate sources and automates analytics, data science, and machine learning (ML) and artificial intelligence (AI) outcomes. UiPath robots can receive analytic outcomes, act upon the decisions from Alteryx ML models and directly input data to enterprise applications and systems. Together, the RPA system combined with the Alteryx APA Platform ensures data governance and integrity across all data analytic functions to accelerate business processes and outcomes.

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