The client collaborated with Capgemini to analyze the product failure system of a major provider of precision timing and network synchronization products and services.
The client was seeking to understand the rate and timing of end-of-life product failures for several of its key products. The historical analysis had never been performed in a manner that could be used to predict the rate and timing of future failures.
Faced with revenue challenges, the client was seeking to build a marketing campaign that would focus on replacement of equipment that was predicted for end-of-life failure in the near term.
Capgemini assessed the client’s data systems to identify the necessary customer purchase and equipment failure data required to perform detailed analysis.Â
A predictive model was built based on historical data and statistical techniques that examined patterns in the data.Â The statistical results were analyzed to develop recommendations for key products and customers that should be the focus of near-term marketing initiatives.
The Capgemini team was able to identify primary sales opportunities based on marketing equipment that needed to be replaced at key customers. The team also provided a data infrastructure and statistical methodology which could be leveraged to perform periodic analysis in support of future marketing campaigns.Â
Finally, the team identified products with high failure rate during the first few years following product launch, and developed recommendations for the New Product Introduction process to address this issue.