Product Spotlight: Spotfire for Manufacturing

Nov. 28, 2024

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.