Getting Started with Food Quality Data
QC Dashboard includes analysis scenarios designed for food and beverage quality teams. Whether you track fill weights, pH, Brix, temperature, or incoming material quality, you can upload your data and get instant dashboards with control charts, capability analysis, and actionable insights.
What Data Do You Need?
Food quality data typically involves one or more of these measurement types. Each can be analyzed with the right scenario.
Fill Weight / Net Weight
Product weight measurements from filling lines, packaging, or portioning. Track per batch, shift, or production line.
pH / Brix
Acidity and sugar content measurements for beverages, dairy, sauces, and fermented products.
Temperature / Humidity
Cold chain monitoring, storage conditions, pasteurization temperatures, and environmental readings.
Moisture / Water Activity
Incoming raw material moisture content, flour, grains, powders, and dried product quality control.
Download a CSV Template
Download a template with the correct column format, paste your data, and upload. Each template includes example rows to show the expected format.
Columns: Date, Line, Operator, Weight_g, LSL, USL
Columns: Date, Batch, pH, Brix, Temperature
Columns: Date, Zone, Temperature_C, Humidity_pct
Columns: Date, Supplier, Material, Moisture_pct, LSL, USL
Recommended Scenarios
These scenarios are designed for common food industry quality analysis needs.
Try It Now
Explore food industry sample datasets to see real dashboards with control charts, capability analysis, and insights -- no upload needed.
View Food Samples