Moody's Analytics REIS - Short Review

Real Estate Tools



Moody’s Analytics REIS Network Overview

The Real Estate Information Services (REIS) Network, offered by Moody’s Analytics, is a comprehensive and integrated platform designed to revolutionize how commercial real estate (CRE) professionals access, analyze, and utilize market data. This ecosystem of connected applications and data sets is tailored to streamline workflows, enhance decision-making, and provide a holistic view of the CRE market.



Key Features



1. Integrated Data Ecosystem

The REIS Network combines data from various sources, including Moody’s Analytics’ own applications and those of its partners, such as CompStak, Rockport VAL, Enriched Data, and Retail MarketPoint. This integration allows users to access a wide array of CRE data, including property-level information, market trends, lease and sale comparables, environmental data, and credit-risk models.



2. Intuitive Search Functionality

The platform is connected by an intuitive search engine that enables users to query CRE data and workflow tools efficiently. Users can search for information based on specific addresses, cities, states, zip codes, or even tenants, and view all relevant information from the app network.



3. Modular Access

Users have the flexibility to select and subscribe to the applications and data sets that best support their CRE workflows. This modular approach allows for customized access to the tools and data needed, reducing the complexity of managing multiple separate services.



4. Advanced Analytical Tools

The REIS Network includes sophisticated analytical tools for decisioning and monitoring CRE mortgage loans, such as integrated default and recovery models to assess probability of default, loss given default, and expected loss. Additionally, it features models that determine the desirability of commercial properties based on multiple economic and demographic factors.



5. Comprehensive Data Coverage

The platform offers granular, timely, and analyst-reviewed commercial lease and sales comparables, as well as detailed property information. It also includes historical property, loan, pool, and bond-level CRE data, enhanced with calculated data fields such as submarket rents, updated valuations, and tenant information.



6. Valuation and Modeling

Users have access to a robust, cloud-based valuation and discounted cash flow modeling platform provided by Rockport VAL. This tool simplifies the valuation process and enhances the accuracy of financial models.



7. Retail and Market Analytics

The addition of Retail MarketPoint’s BrandScore™ scoring system allows CRE professionals to evaluate retail locations using AI-based technology, enabling easy comparison and informed decision-making for developers, retailers, and investors.



8. API-Driven Integration

The REIS Network is API-driven, facilitating the seamless transfer of information between different applications. This eliminates the need for manual data transfer and retrofitting, significantly streamlining workflows for CRE professionals.



Functionality

  • Streamlined Workflows: The REIS Network simplifies data gathering and analysis by connecting disparate tools and data sources, allowing users to view and compare multiple sources simultaneously.
  • Customized Solutions: Users can subscribe to specific applications and data sets on an a la carte basis, ensuring they only pay for the resources they need.
  • Enhanced Decision-Making: With access to comprehensive and timely data, users can make better and faster decisions in property research, investment, and risk management.
  • Partnership Model: The network leverages a strategic partnership model to bring together innovations from across the CRE industry, ensuring users have access to the latest and most relevant data and tools.

In summary, the Moody’s Analytics REIS Network is a powerful platform that centralizes CRE data and analytics, providing CRE professionals with a comprehensive, integrated, and customizable solution to enhance their workflows and decision-making processes.

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