Use Case: Risk Management

Driving Digitalization With Cognitive Analytics

This case study provides a practical example of how automated data analytics can significantly shorten the time enterprises need to identify and respond to potential external threats. Inspirient’s Artificial Intelligence (AI) for data analytics was used to automatically analyse a dataset from the United States Environmental Protection Agency (EPA), which conducted a series of – by now hugely impactful and well known – emission measurements. The dataset consists of information collected when testing vehicles for emissions of various manufacturers. We tasked Inspirient’s AI with quickly identifying whether certain cars stood out concerning emission performance, especially in comparison to vehicles produced by competitors.

Car pollution
Key use case figures:
  • More than 4.000 test runs
  • Over 600 different models
  • Seven pollutants being measured for each model
Sample insight
Major insights derived by Inspirient's AI:
  • Models with emissions well above average discovered
  • Manufacturers with accumulation of high emitting cars found
  • Correlations between emission of different pollutants detected

Innovation and Benefits for the Customer

With Inspirient’s automated data analytics, it became possible to find patterns relevant to a manufacturer of certain vehicles rapidly, and without relying on a team of analysts or data scientists. Like in this case, Inspirient can be used as an early warning mechanism, detecting irregularities or performances below-average early on. More importantly, companies can ingest larger data volumes more quickly, thereby translating external data sources into relevant insights. This helps companies react appropriately to external events, and perform adequate damage control early on, thus reducing costs for product recall and litigation significant. Automated analysis merely requires users to point Inspirient’s system to a potentially interesting dataset, but does not technical, analytical know-how.

Usage of Automated Analytics

Inspirient automatically processed and analysed a set of raw data that was available in CSV format. The dataset consisted of more than 4000 test runs. Inspirient’s software automatically scanned the data for relevant patterns and visualized them on slides, which could directly be discussed by management and legal staff without any additional work necessary in preparing content for a meeting. The slides fuel discussions since all employees can comprehend its information.

Conclusion

The presented case gives an example of how Inspirient’s solution for automated data analytics can identify potential external threats and shorten their response time. This enables companies to better prepare for and manage potential crises.

Further reading

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