Food & Beverage CFOs Need More Data Scientists, Not More Analysts. Here’s Why.
F&B CFOs are finding that Excel cannot meet their needs for advanced analytics at scale. There are many no-code tools available today (many of them free and open source) that empower financial analysts with skills that are on par with a Data Scientists’.
Why Using Power Automate & KNIME for Process & Data Automation Can Help Food & Beverage Manufacturers Address the Current Labor Shortage
NoCode tools like KNIME and Power Automate are the perfect solution to address the dual challenges facing food manufacturers: automation to fill the labor gap, while simultaneously expanding the digital workforce they need to succeed.
Introduction to Demand Forecasting for Food Manufacturing – Install KNIME
In this post we will walk through the steps you need to install and configure the free KNIME no-code analytics platform to prepare your data for time series analysis.
Introduction to Demand Forecasting for Food Manufacturing – The Basics
Commercial bakeries offer the perfect use case for accurate demand forecasting in food manufacturing because of the perishable nature of baked goods.
See How Easily You Can Build Accurate Demand Forecasts for Your Food Products.
Every food manufacturer can accurately predict product demand by designing and developing their own forecasting models using free, open-source no-code analytic tools.
Introduction to No-Code Analytics with KNIME
Many organizations still struggle to get value from their data. There is a path forward and it starts with a solid data strategy that integrates code-free self-service analytics platforms to empower everyone with data.
Announcing the launch of The HayWire Food Intelligence Newsletter!
The HayWire is our way of sharing the latest trends in AI, Automation, and Analytics for the Food & Ag industry. Subscribe Today!
How No-Code AI Helps Food Manufacturers Manage Supply-Chain Disruptions
Food manufacturers can leverage No-Code AI solutions to minimize supply-chain disruptions. Here’s how.
