Jifeng Qiu, Project Team Manager
Toyo Engineering
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Alteryx Data Analytics for Manufacturing
From Supply Chains to Factory Floors, Drive Efficiencies with Data Analytics for Manufacturing
Solve the manufacturing industry’s biggest challenges – from forecasting demand to supply chain disruptions – with powerful, intuitive, data preparation and analytics.
Manufacturing Analytics Solutions
Lower Downtime with Predictive Maintenance
Use predictive analytics to anticipate manufacturing equipment failures and schedule timely maintenance, reducing unplanned downtime and maintenance costs. Keep production on schedule to meet market demand while reducing waste and optimizing inventory.
Improve Financial Planning with Scenario Analysis
Empower finance planning teams with advanced tools to model financial scenarios and identify cost savings opportunities across the supply chain. Easily integrate manufacturing industry data from diverse sources for a holistic view of operations with the ability to automate workflows and visualize outcomes.
Automate Data Cleansing and Reporting for Faster, Smarter Supply Chain Decisions
Optimize the supply chain by improving data and process quality with suppliers using intuitive analytics solutions that streamline data integration and analysis, and automate reporting. Benchmark key performance indicators across the manufacturing supply chain to improve operational performance.
With Alteryx, we can significantly improve the productivity of our data ETL activities, interfacing with Power BI or Tableau for visualization,” said Qiu. “More importantly, it is a repeatable process.
What I love most about Alteryx is that I feel that I can do almost anything with data and the best thing about it is I can do it extremely fast.
What I like most about Alteryx is the fact that when I ask for a change, my team can actually make that change really quickly using Alteryx. It has made us more agile.
Alteryx Analytics Starter Kits for Manufacturing
Alteryx Tech Partners
Service Partners
- Supply Chain
- Office of Finance
- Revenue Operations
Cloud Partners
Frequently Asked Questions
What features do manufacturers value in the Alteryx analytics platform?
Seamless Data Analytics Integration
- Get a 360-degree view of manufacturing operations by unifying data across ERP, CRM, IoT and other disparate systems to make better decisions, faster.
Repeatable Workflows
- Eliminate repetitive, manual spreadsheet processes by building automated and repeatable processes once that update as the data changes. Scale data analytics for manufacturing with ease by sharing workflows with others.
Analytics Automation & Scheduling
- Speed up the time to manufacturing data insights and decisions by automating and scheduling analytic processes to run on a scheduled basis, freeing up your time to work on more strategic initiatives.
Auditable Process
- Quickly and easily view an Alteryx workflow to gain insight into how your manufacturing company’s data has changed and what is taking place within each step of the analytics process.
What does code-free and code-friendly mean?
Code-free means executing complex analytics and data science workflows using a drag-and-drop interface for analytics modeling rather than coding language.
Code-friendly means Alteryx integrates with popular programming languages like Python so coders can use Alteryx to accelerate, organize, and visualize their workflows.
How does Alteryx enable manufacturers to leverage generative AI in their analytics workflows?
Generative AI makes Alteryx analytics tools easier to use and creates new automation and innovation opportunities for the manufacturing industry. We couple generative AI with other AI models to surface meaningful insights in your data while minimizing the dependence on proper prompt construction or visualization design skills.
What are the benefits of Alteryx analytics solutions for manufacturers?
- Anticipate and mitigate supply chain disruptions with real-time data insights, ensuring continuity and reducing risk.
- Improve the accuracy of demand forecasts with predictive analytics, helping to optimize inventory and reduce waste.
- Identify cost-savings opportunities with automated cost analysis and scenario modeling.