---
title: "Guidewire’s Approach to Predictive Analytics, Part Five: Monitoring"
url: "https://www.guidewire.com/ja/resources/blog/technology/guidewires-approach-predictive-analytics-part-five-monitoring.md"
language: "ja"
locale: "ja"
---

# Guidewire’s Approach to Predictive Analytics, Part Five: Monitoring

By Chris Cooksey, Senior Director of Advanced Analytics · Published 2020-10-23

Predictive analytics involves just that: prediction of the future. It is an inherently uncertain activity. While there are any number of metrics that can convince that a predictive model will indeed provide useful information, nothing proves the value to an organization as much as a verified success story. In addition, even good predictive models can begin to deteriorate over time as the data on which it is based gets older and older. A need exists to track this to know when to update a model.

![](https://edge.sitecorecloud.io/guidewiresodb06-guidewire0f2e-productioncd91-5186/media/project/guidewire/guidewire/blog/thumbnails/blog-20201023-analytics-vision-560x320.jpeg?h=320&iar=0&w=560)

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### Technology

[Technology](/ja/resources/blog/technology)

Platforms, pipelines, and the stack underneath

## About the author

As the Senior Director of Advanced Analytics, Chris Cooksey is Guidewire’s predictive analytics actuarial expert for the Global Client Solutions group.

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