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Alteryx Logo


United States
Los Angeles
1,001 - 10,000
Open website

Alteryx, Inc. was formed in 2011 and is a leader in self-service Data Science and analytics. Alteryx provides analysts with the unique ability to easily prep, blend 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 love the Alteryx Analytics platform because they can connect to 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.

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Alteryx is a provider of Industrial IoT platform as a service (paas), and analytics and modeling technologies, and also active in the consumer goods, equipment and machinery, finance and insurance, healthcare and hospitals, and oil and gas industries.
Analytics & Modeling
Data Mining
Machine Learning
Big Data Analytics
Computer Vision Software
Natural Language Processing (NLP)
Predictive Analytics
Platform as a Service (PaaS)
Data Management Platforms
Use Cases
Predictive Maintenance
Demand Planning & Forecasting
Inventory Management
Human Resources
Sales & Marketing
Warehouse & Inventory Management
Consumer Goods
Equipment & Machinery
Finance & Insurance
Healthcare & Hospitals
Oil & Gas
Alteryx’s Technology Stack maps Alteryx’s participation in the platform as a service (paas), and analytics and modeling IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
  • Devices Layer
  • Robots
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
Number of Case Studies100
Pepsico's Transformation to Smarter Sales Forecasting with Designer Cloud
PepsiCo, a global consumer packaged goods company, faced a significant challenge in calibrating sales forecasting to supply the right product quantities to its retailers. The sales forecast incorporated a variety of data, including warehouse data, store stock data, and promotional forecast data, all of which were provided by retailers in different file formats and delivered using various methods. The primary challenge was the speed of preparing a sales forecast. With the existing Microsoft Access and Excel-based processes, the time required to prepare this data was so extensive that analysts could only leverage it once a month or not at all. This inefficiency risked under or oversupplying retailers, potentially impacting PepsiCo's business operations and customer relationships.
IQVIA Accelerates Clinical Trial Data Processing for Rapid Healthcare Innovations
IQVIA, a global leader in healthcare data and analytics, was grappling with the challenge of managing patient data for up to 70 different clinical studies run by various entities including government agencies, pharmaceutical companies, and academic institutions. The data, originating from 250 unique vendor warehouses, was being copied into a single system using legacy tools and processes like SAS, a process that took several days. Standardizing this data into FDA-compliant formats was another hurdle, requiring 1 to 2 months. As the rate of incoming data from clinical trials increased, and the data became increasingly non-identified and unstructured, IQVIA faced the risk of significant delays. These delays threatened to stall the progress of their clients' clinical studies.
Stock Price Forecasting Using Monte Carlo Simulation in Alteryx
The case study revolves around the use of Monte Carlo simulation for forecasting stock prices. The challenge was to create a sample Alteryx workflow that sources stock price data, performs analysis of the historical prices, uses these metrics to perform Monte Carlo simulations, and then analyzes the output of these simulations to drive business decision making. The aim was to provide an Alteryx template for Monte Carlo simulation-based forecasting that could be used and further enriched by the Alteryx community. The challenge also involved sourcing stock prices from Yahoo Finance, calculating daily percentage change in the stock price, preparing metrics for the simulation, and running the simulation multiple times.
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