A visual data science platform, Spotfire® for Manufacturing, combines visual analytics, data
science, and data wrangling to help manufacturers identify production bottlenecks, detect
quality issues, and predict machine failures to reduce costs, improve operations, and
increase profitability.
With the Spotfire platform’s point-and-click interface, engineers and data scientists can
build interactive visual data science applications for use by manufacturers to improve
business-critical operations and daily decision-making. The anywhere deployable software,
on-premises or in any cloud, private or public, hybrid or multi-cloud, also helps users
rapidly identify and adjust to market trends and share insights across the organization to
foster cross-functional collaboration.
Key features of Spotfire for Manufacturing include:
- Statistical Process Control monitoring—use statistical methods to monitor
process control and alert operations to reduce the variability of measured
processes. - Predictive analytics—forecast future outcomes using advanced statistical models
and machine learning techniques. - Anomaly detection—identify unusual patterns and data points that deviate from
expected behavior to enable the early detection of issues. - Propensity modeling—predict the likelihood of specific outcomes or behaviors
based on historical data and trends in different environments. - Demand forecasting—advanced analytics accurately predict demand whether it
stems from customer behavior or resource management. - Risk management—analyze potential hazards with historical data from past
incidents to prevent future issues as well as to mitigate data breaches and security
concerns.
Industrial companies using Spotfire include:
- Hemlock Semiconductor found $300,000 in electricity consumption savings per
month using the software’s analytic-driven asset utilization. - Brembo, a manufacturer of braking systems, uses Spotfire analytics for clustering
cooling curves in its aluminum foundry and for predictive maintenance and machine
tools lifespan prediction. The company’s R&D department also used the platform to
develop KPIs for noise analysis and testing. Brembo has seen a 25% increase in
revenues due to insights from Spotfire. - Bayer Crop Sciences uses the software to cultivate precision agriculture with
artificial intelligence and digital farming with more than 14,000 users. - Keysight Technologies, a supplier of electronic test and measurement equipment,
uses Spotfire analytics to analyze customer-reported issues and identify root causes
and contributing factors in its production operations. Spotfire is critical to Keysight
Technologies analytics because it can replicate data into Keysight’s Snowflake data
warehouse and run SQL queries to create reports for all users. The ability for
Spotfire data columns to link back to Snowflake means that users can correct data in
real time. These analytic data connections have reduced Keysight Technologies data
loading time to seconds rather than hours.
