Quickly ingest historical process parameters and quality metrics for all production activities with the Dataiku App. Turn historical performance into trusted analytics and ensure production quality.
Define targets and select relevant quality metrics from your manufacturing process to review in the Dataiku App. Dig deeper and filter by analysis period and acceptable range for given quality indicators and processes.
Choose specific process parameters and reveal how each might be impacting quality targets. Make adjustments through a visual interface to guide decision-making and collaboration between process engineers and technicians.
Find critical process parameters and ideal parameter ranges to improve manufacturing. Then easily scale across quality indicators, production lines, and sites to balance consistency and capacity.
Supplement expertise with robust data analytics to enhance decision accuracy and process outcomes. Find patterns through deep analysis, then use new findings to empower engineering and operations teams with data-driven approaches.
The Dataiku Solution for Parameters Analyzer helps answer a broad range of questions like:
Build a repeatable, scalable and automated process for understanding critical control parameters and their ranges. Use machine learning and AI to mine data, understand parameter adjustment, and enhance data-driven work in manufacturing operations. Put data to work to improve yield and optimize quality.
A composite organization in the commissioned study conducted by Forrester Consulting on behalf of Dataiku saw the following benefits:
reduction in time spent on data analysis, extraction, and preparation.
reduction in time spent on model lifecycle activities (training, deployment, and monitoring).
return on investment
net present value over three years.