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features
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support

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Description

PRODA is a cloud-based Software as a Service (SaaS) solution tailored to automate the extraction, standardization, verification, and analysis of rent roll data within the commercial real estate sector. It accommodates a variety of formats, such as Excel, PDF, and data sourced from property management systems like Yardi, MRI, Argus, Voyanta, RealPage, and SAP, and it operates in multiple languages and currencies. Featuring advanced machine learning capabilities, PRODA is able to adapt to diverse data formats, which enhances processing efficiency and minimizes manual errors. The platform includes functionalities for automated data extraction, standardization, error detection, and analytics, enabling users to quickly derive insights and generate comprehensive reports. Furthermore, PRODA offers tools for assessing tenant risk, managing data governance, and integrating seamlessly with other software through APIs. With a user base exceeding 150 companies, including prominent industry players, it significantly improves the management of rent roll data and supports informed decision-making. As a result, organizations leveraging PRODA can enhance their operational efficiency and gain a competitive edge in the commercial real estate market.

Description

Yardi Matrix conducts in-depth research and provides comprehensive reports on various property types, including multifamily, student housing, office, industrial, and self-storage assets throughout the United States, catering to the diverse needs of industry professionals. Stay informed about the latest trends and forecasts in the commercial real estate market, all supported by the robust analytics provided by Yardi Matrix. Access our complimentary national and market-specific reports, as well as specialized research bulletins and webinars, to gain valuable business insights that can guide you in making well-informed investment choices. The utilization of high-yield debt has seen a notable rise in recent years, despite the scarcity of historical data and the significant rate of defaults on mezzanine loans following the global financial crisis. Furthermore, a pioneering study focusing on high-yield debt sheds light on the sector’s performance and offers insights that may influence the future of the real estate market. This research may also indicate emerging trends that investors should consider when navigating the complexities of financing options in real estate.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

ARGUS EstateMaster
ARGUS Voyanta
Fyxt
MRI Affordable Housing
Microsoft Excel
RealPage
SAP Cloud Platform
Yardi Breeze

Integrations

ARGUS EstateMaster
ARGUS Voyanta
Fyxt
MRI Affordable Housing
Microsoft Excel
RealPage
SAP Cloud Platform
Yardi Breeze

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

PRODA

Founded

2017

Country

United Kingdom

Website

proda.ai/

Vendor Details

Company Name

Yardi

Founded

1982

Country

United States

Website

www.yardimatrix.com

Product Features

Commercial Real Estate

Brand Management
CRM
Cash Flow Analysis
Critical Date Alerts
Deal Management
For Appraisers
For Brokers
For Investors
For Property Managers
Portfolio Management
Strategic Planning

Product Features

Commercial Real Estate

Brand Management
CRM
Cash Flow Analysis
Critical Date Alerts
Deal Management
For Appraisers
For Brokers
For Investors
For Property Managers
Portfolio Management
Strategic Planning

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