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Alteryx has been recognized by CIO Applications Magazine as the exclusive recipient of “Top 25 Machine Learning Solution Companies - 2019,” based on our proprietary methodology, reflecting its position in the industry, and is also named among “,” reflecting its broader leadership. This profile has been developed by the CIO Applications research and editorial team based on insights from an interview with Dean Stoecker, Chairman & CEO.
Dean Stoecker, Chairman & CEOHeadquartered at Irvine in California, Alteryx has been built with a clear understanding of the varying business intelligence and data visualization needs across an organization. The company’s platform effortlessly adapts to user needs, ranging from the preparation and enrichment of data for driving tools and applications, powering the analytics lifecycle, to reporting and sharing applications both inside and outside the organization. The self-service data analytics company understood the challenges of operationalizing machine-learning models, leading to the creation of models that can be customized, and deployed while keeping up with the customer requirements. The Alteryx platform is purpose-built to create partnerships between IT and analytics teams, and aids them in solving complex analytic business problems with minimal time and effort.
Breaking Barriers with Data Analytics
Several thousand data analysts from over 1800 countries across the globe use Alteryx to prepare their data in a manner that simplifies the process of deriving insights. As opposed to legacy systems with slow and extensive processes, the modern, open Alteryx platform empowers customers to use precise data in solving complicated problems quickly and efficiently. The end-to-end self-service data analytics platform uses machine learning in unifying the analytic experience for organizations, which enables them to break data barriers. The collaborative and governed platform assists data scientists, business analysts, as well as the IT department of organizations by providing the flexibility needed to discover, examine, and prepare analytic models.
"The end-to-end self-service data analytics platform uses machine learning in unifying the analytic experience for organizations, which enables them to break data barriers"
The Alteryx platform has multiple features to handle data effectively for positive business outcomes. The company’s product portfolio also includes Alteryx Connect, a data governance and collaborative exploration platform that handles the process of discovering and organizing information for data analytics. The platform utilizes powerful search capabilities for finding and reusing information contained in workflows, dashboards, files, databases, visualizations, and the like, to reduce the time spent by users in searching for impactful data and assets, while simultaneously bypassing unnecessary information. Alteryx Connect uses a combination of data cataloging and the power of human comprehension in helping users to find, manage and utilize information that can improve the outcome of business decisions taken by an organization. The platform also serves as the starting point to a social, engaging, powerful, and captivating analytic experience for its users.
The process of gathering useful data from multiple sources, building and publishing analytical models from them before furnishing the same to recipients is taken over by Alteryx Designer, which provides a single platform capable of rapidly processing large volumes of data.
Across industries, Alteryx uses machine learning to cater to specific needs of gathering, preparing, and analyzing data for the benefit of clients, and ultimately, end-users
Alteryx has partnered with leading data providers like DigitalGlobe, Dun & Bradstreet, Experian, and TomTom to assimilate essential data for business-critical decisions. With the extensive data provided by its partners, the company can aid its customers in different ways, such as estimating the effectiveness of targeted promotions across the country. Alteryx also empowers users with cartographic data and information on customer lifestyle and frequently accessed media to its customers, which prove beneficial in identifying possible locations for new stores.
Proficiency across Industries
With the tagline “The Thrill of Solving”, Alteryx has taken upon itself the task of handling the problems of a wide range of industries, including financial services, healthcare, oil and gas, and the retail and public sector. In addition, it caters to organizations in media and entertainment, communications, pharmaceuticals and biotechnology, energy and utilities, as well as restaurants and the travel and hospitality industries, among others. The company leverages its vast industry knowledge and experience to deliver comprehensive industry solutions that can be customized to suit individual customer requirements.
In the financial sector, Alteryx aids clients in gaining a near-perfect understanding of their customers and prospects while offering deeper insights into possible methods of building customer trust. The company uses its capability of fast data preparation and blending as well as its easier methods of building analytical models to calculate risk and profitability potential of assets, customers, and locations, for providing quick and effective insights.
Similarly, Alteryx aids its clients in the retail sector in understanding and anticipating changing customer preferences to personalize communications and promotions. The company’s self-service data analytics platform deepens customer insights by preparing and analyzing customer data, in combination with insights received multiple channels, including demographic data and social media. The Alteryx platform optimizes the selection of sites and other store-network decisions by determining the market potential using information from sales forecasts, trade area demographics, competitive activity, and the like.
In the healthcare industry, Alteryx offers a unified view of patients by connecting, cleansing, and joining relevant data. The platform increases patient access to care by analyzing local healthcare service needs and infrastructure availability based on patient requirements, while improving the quality of care and patient outcomes by reporting and sharing the relevant patient history and care data among healthcare providers. In addition, the usage of the platform cuts down on the time taken to prepare and blend data from across sources for on-time reporting.
Across industries, Alteryx uses machine learning to cater to specific needs of gathering, preparing, and analyzing data for the benefit of clients, and ultimately, end-users.
Handling Customer Data with Ease
Every day, multiple companies struggle with vast quantities of data that need to be constantly updated to aid them in taking potentially life- or business-altering decisions. Among them is the National Safety Council, whose mission of saving lives and preventing injuries across the country requires it to have a holistic view of its customers. The organization has to handle multiple data sources outlining their marketing, finance, and CRM data, which is often available in different formats. The data for each customer was traditionally stored on multiple Excel sheets, which needed to be analyzed for several hours before essential information could be extracted. The organization approached Alteryx while seeking a method to cut down on time wasted in identifying and segregating essential information. The Alteryx platform enabled the identification of relevant data in a matter of minutes while negating the need for the manual extraction of essential information. Customer needs thus could be identified and met faster, resulting in improved ROI for the organization.
Keeping up with the Changing Customer Requirements
On observing the recent trend of organizational migration to Amazon Web Services (AWS), Alteryx has achieved AWS Machine Learning Competency status. The newly gained status recognizes its capability to provide data scientists, business analysts, and machine learning practitioners with automated, cutting-edge tools to create and deploy predictive models on AWS. Alteryx Server on AWS allows the company to extend the benefits of its one-click self-service predictive model deployment capabilities to a wider range of customers, who can make better decisions using precise data.
Moving forward, Alteryx will continue revolutionizing businesses through data science and analytics. The company witnessed full year 2018 revenue of $204.3 Mn, increased 55 percent year-over-year. “Q4 was a strong finish to an amazing year,” says Dean Stoecker, CEO of Alteryx. “We saw strength across the globe as enterprises increasingly invested in digital transformation initiatives. As we head into 2019, we remain focused on scaling Alteryx globally and building a foundation for many years of durable growth.”
Alteryx has been recognized as a challenger in Gartner Magic Quadrant for data science and machine learning platforms for the sixth consecutive time in 2019. With regional offices in multiple locations across the globe, including New York, Dallas, London, Denmark, Prague, Munich, Kiev, Paris, Tokyo, Singapore, Sydney, and Dubai, Alteryx has consistently delivered game-changing business outcomes to its network of associates and partners. Over time, the company plans to uphold its tradition of delivering success to customers by constantly revamping the Alteryx platform and feature set to keep up with changing technological requirements, while simultaneously catering to their need for security, speed, flexibility, and scalability.
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