Monitor Overall Equipment Efficiency levels of your machinery, production line and plant as a whole with the help of Infoveave Analytics Studio. Infoveave is a data driven decision making tool that helps in reducing manual intervention in reporting OEE metrics.
Cut downtime, Improve quality, reduce waste, optimize maintenance and enhance the equipment efficiency. Make quick decisions for line stoppage or under performing problems.
For a plant manager, this tool will be very feasible to access, understand and interpret by using it in a smart phone or a tablet. Utilize your valuable time and resources in an effective way to solve the business problems rather than going around them.
With Infoveave, you can analyse simple to complex scenarios, correlate data from multiple data source types, allows users to access disparate datasets and create harmonized visualizations. Business data can be easily tapped into for deep dive analysis, multi dimensional analysis, statistical analysis and machine learning
Embed visualisations on your website, Share information on social media or simply through email. Annotate and add comments and send to specific audiences. Collaborate in near real time to take actionable business decisions.
Enable automation by connecting to real-time data
Infoveave can be configured to sync with connected assets and sensors and IOT devices capable of measuring, recording and transmitting data in real time. This allows for real time monitoring and assessment.
Ready in a few clicks
Smart combination of short setup times, quick connect to multiple structured and unstuctured datasources, and a easy to use user interface allows for to decipher complex data and convert them into actionable insights just a few clicks.
Harness the power of Infoveave on the cloud or on premise. Wherever your information may reside, Infoveave processes and presents business insights on demand, securely.
OEE score monitoring
Output per employee
Product wise quality
Selling and distribution expenses
Product wise efficiency
Root cause analysis