Food & Beverage Data Analytics
Food & Beverage manufacturing relies on maximizing asset utilization and quality of production. dataPARC's data analytics software delivers through the ability to contextualize data (product being produced, associated limits, etc.), easy to use filtering and integrated applications (like OEE & Downtime) to improve availability. In addition, legacy data sources can be leveraged to reduce investment and time to ROI.
Data Analytics for the Food & Beverage Industry
Trending & Analysis
Improve your decision-making and troubleshooting capabilities.
Exploratory Analytics ToolsProduction Monitoring
Monitor manufacturing production KPIs & downtime events for enterprise-wide visibility.
Real-Time Production MonitoringQuality Control
Real-time quality control tools for food & beverage manufacturing processes.
SQC / SPC SoftwareOEE Tracking
Analyze, calculate, & report production loss from downtime, lost opportunities, & process slowdowns.
OEE Tracking ToolsAmalgamated Sugar: A Clear View of Plant Operations
Amalgamated Sugar, a farmer-owned cooperative, knew that in order to optimize production and reduce costs, they needed to be making better, more efficient data-driven decisions. The problem was that they didn’t have easy access to plant data at the desktop level. Their control system had very limited graphic capabilities, and it was difficult to retrieve data from the network to create trends. Also, because there was a separate home-grown system for the lab, their lab data and process data could not be overlaid or easily compared. dataPARC was contacted to help provide a clearer picture of Amalgamated’s plant data.
Powering Food & Beverage Analytics Solutions for 25+ Years
Applied Solutions
Our plant visualization tools will give you the insights needed to quickly optimize food & beverage manufacturing processes.
Amalgamated Sugar Case Study
Click the link below to see how dataPARC's data visualization and historian tools helped reduce Amalgamated Sugar's production cost by enabling them to make comprehensive data-driven decisions.