All the enterprises irrespective of their size know the potential data has, but most of them struggle to bring it to action. Legacy approaches and tools for analytics have simply slowed them down even more. Departments like sales, finance and marketing have to completely rely on data scientists and specialized staff for data prep, blending, analytics, and sharing of insights.
Alteryx is here to solve all your issues. Alteryx Analytics help analysts to easily prep, amalgamate and analyze all of their data using a repeatable workflow, then deploy and share analytics at scale for deeper insights in hours, not weeks.
Analysts are fascinated with Alteryx Analytics platform because, they can connect and cleanse data from data warehouses, cloud applications, spreadsheets and other sources, easily join this data together, then perform analytics – predictive, statistical and spatial – using the same intuitive user interface, without writing any code.
The enterprise earned the trust of thousands of customers around the world, including many of the world’s largest and best known brands like Experian, Kaiser, Ford, and McDonald’s and also organizations such as Rosenblatt Securities, Veritix, and Consumer Orbit, who all want to use the power of data for a competitive edge.
For many analysts in business groups such as marketing, sales, finance, or customer insight, the process to prep, blend and analyze data is slow and painful. It requires different tools and people to gather, cleanse and join data from different sources, more tools to build and publish analytic models, and even more to get it into the hands of business decision makers.
Alteryx Designer solves this by delivering a repeatable workflow for self-service data analytics that leads to deeper insights in hours, not the weeks typical of traditional approaches! Alteryx Designer empowers data analysts by combining data preparation, data blending, and analytics – predictive, statistical and spatial – using the same intuitive user interface.
Alteryx Server accelerates time to analytical insight and strengthens analysts and business users across your organization to make better, more informed, data-driven decisions. By providing a scalable platform to deploy and share analytics, teams can conjoin on business-critical decisions — quickly and easily.
Not only does Alteryx Server provide self-service data analytics, it’s IT friendly too. With 24x7 dependability and advanced administration options, you can avoid costly business interruptions and potential security issues. It’s the fastest and easiest way to deploy data intensive analytics across your enterprise with effective and secure collaboration across teams.
Most analysts spend more time searching for information that may be relevant to their analysis than on the analysis itself. Too much time spent on the front end translates to inefficiencies and delays in answering critical business questions and, in turn, implementing the actions that can improve your bottom line. And often, others in the organization have already collected the same information or performed a similar analysis, but analysts have no good way of finding it.
Alteryx Connect changes how analysts discover, prioritize, and analyze all relevant information in their organization. It is the beginning of a thrilling analytic experience that combines the power of data cataloging with human insight, and empowers analysts to quickly and easily find, manage, understand, and collaborate on the information that resides in their organization. Now, analysts can accelerate the end-to-end analytic process to dramatically improve analytic productivity and information governance, thus generating better business decisions for all.
Enterprise technology research firm Gartner, Inc., announced Alteryx the winners of 2017 Peer Insights Customer Choice Awards for BI and Analytics Platforms. The report marks the latest addition to the company’s expansive list of buyer’s resources, which already includes the popular Magic Quadrant, Critical Capabilities, and Cool Vendors.
There were many criterias to decide the winner, the vendor must have at least 50 published reviews in the market guide during the submission period and must pass Gartner’s validation, conflict of interest and moderation process. Additionally, any solution provider must have a bare minimum of one tool designated by Gartner’s analysts as relevant in the marketplace.
Alteryx the ‘Top Performers’
Alteryx was declared as the overall winner, earning gold status among reviewers. Tableau was runner-up, securing silver status, while Domo earned the bronze. There’s really no surprise here, as all three providers are mainstays in the BI and analytics marketplace. However, it is noteworthy that Gartner failed to include Alteryx and Domo as top providers in its February Magic Quadrant report. Both vendors were included only among the niche players in this space.
Embrace the luminary: Dean Stoecker, CEO and chairman
Dean's leadership and motivational skills, along with his ability to create, communicate and realize a vision, are the driving force behind Alteryx’s considerable growth and its focus on empowering data analysts worldwide. His understanding of business needs and the technology space has helped fuel the impressive SaaS metrics of Alteryx since its inception.
Recognizing the generational shift in enterprise computing was creating a vast new market for self-service data analytics, under Dean's leadership the Alteryx software platform was born in 2006. Through a name change in 2010 and three rounds of funding totaling $163 million since 2011 and world class customers, Alteryx has become the recognized leader in the self-service data analytics space around the globe. Dean earned a bachelor's degree from the University of Colorado and Master of Business Administration from Pepperdine University.
“Organizations all over the world rely on Alteryx daily to deliver actionable insights.”
“We specialize in Self-Service Data Analytics, Business Intelligence, Predictive Analytics, Spatial Analytics, Analytics, Statistical Analytics, Strategic Analytics, Data Analytics, Data Blending, Data Prep, Data Science.”