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Alteryx
概述
公司介绍
Alteryx, Inc. 成立于 2011 年,是自助数据科学和分析领域的领导者。 Alteryx 为分析师提供了一种独特的能力,可以使用可重复的工作流程轻松准备、混合和分析所有数据,然后大规模部署和共享分析,以便在数小时而不是数周内获得更深入的见解。
分析师喜欢 Alteryx 分析平台,因为他们可以连接并清理来自数据仓库、云应用程序、电子表格和其他来源的数据,轻松地将这些数据连接在一起,然后使用相同的直观用户界面执行预测、统计和空间分析,无需编写任何代码。
物联网应用简介
技术栈
Alteryx的技术栈描绘了Alteryx在平台即服务 (paas), 和 分析与建模等物联网技术方面的实践。
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设备层
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边缘层
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云层
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应用层
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配套技术
技术能力:
无
弱
中等
强
实例探究.
Case Study
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.
Case Study
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.
Case Study
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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