![]() This dashboard visualizes sample climate risk data stored in BigQuery, and dynamically displays aggregate fire and water stress risk scores based on your selections and filters. Portfolio climate risk analytics Data Studio dashboard. Visit Vertex AI Workbench and walk through the exploratory data analysis provided in the included Python-based Jupyter notebookĭrop into BigQuery to directly query the sample data for this pattern Review the example Data Studio dashboard to get familiar with the dataset and portfolio risk analytics (see screenshot below)Įxplore the included R Shiny app, deployed with Cloud Run, for more in-depth analytics The README has step-by-step instructions.Īfter deploying the technical assets, we recommend performing the following steps to get more familiar with the pattern’s technical capabilities: You can use the Terraform code provided in the repository to deploy the sample datasets and application components in your selected Google Cloud Project. Please refer to the source code repository for this pattern to get started, and read through the rest of this post to dig deeper into the underlying geospatial technology and business use cases in portfolio management. ![]() Technical architecture for cloud-native portfolio climate risk analytics. The technical architecture is shown below. This pattern includes a sample dataset from RS Metrics and leverages several Google Cloud products, such as BigQuery, Data Studio, Vertex AI Workbench, and Cloud Run. To help quantify these climate risks, this design pattern includes cloud-native building blocks that financial services institutions can use to implement a portfolio climate risk analytics system in their own environment. Implementing a cloud-native portfolio climate risk analytics system Identifying, analyzing, reporting, and monitoring climate risks associated with physical hazards, such as wildfires and water scarcity, is becoming an essential element of portfolio risk management. This capital allocation responsibility balances growth opportunities with risk assessments to optimize risk-adjusted returns. As allocators of capital through their lending and investment portfolios, they direct financial resources for corporate development and operations in the wider economy. Financial services institutions are increasingly aware of the significant role they can play in addressing climate change.
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