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Enterprise Data Automation for Real Estate Portfolio Optimization
  1. case
  2. Enterprise Data Automation for Real Estate Portfolio Optimization

Enterprise Data Automation for Real Estate Portfolio Optimization

trigent.com
Real estate

Addressing Manual Data Processing Challenges in Real Estate Portfolio Management

The client faces inefficiencies due to manual extraction, processing, and reporting of extensive lease and property data across over 500 properties, resulting in errors, delayed insights, and hindered strategic decision-making. Their legacy systems and disconnected workflows impede responsiveness and accuracy in managing lease details, financial reporting, and stakeholder communication.

About the Client

A large, publicly-traded real estate investment and management organization managing extensive leasing, property, and investment portfolios across multiple markets, aiming to enhance operational efficiency and data accuracy.

Goals for Streamlining Data Operations and Enhancing Decision-Making Capabilities

  • Achieve 100% accuracy in lease and financial report processing.
  • Reduce report generation and analysis time from approximately 7 hours to under 2 hours, boosting productivity.
  • Eliminate manual errors through automation, ensuring high reliability in data outputs.
  • Automate the generation, extraction, and processing of thousands of reports and documents periodically.
  • Enhance data centralization to support informed, data-driven strategic decisions.
  • Improve responsiveness and engagement with stakeholders through automated notifications and communication workflows.
  • Increase operational agility to adapt swiftly to market trends and portfolio growth objectives.

Core Functional Capabilities for Automated Data Management System

  • Automated extraction and processing of lease, property, and financial data from multiple document sources.
  • Integration with existing property management and accounting systems to update records automatically.
  • Scheduled and trigger-based execution of automation bots to handle report generation and data updates.
  • Parallel processing of large volumes of reports and files across multiple bots to ensure scalability and efficiency.
  • Automated email and alert triggers for notifications, approvals, and record processing statuses.
  • Generation of structured reports and data files (e.g., Excel) based on predefined templates.
  • Automated journal entries and record updates within core real estate software platforms.

Technical Frameworks and Platforms for Automation Infrastructure

Robotic Process Automation (RPA) tools, preferably leveraging cloud-enabled workflows.
Digital Process Automation (DPA) components for creating flexible, responsive automation processes.
Microsoft Power Automate or equivalent workflow automation platforms.
Programming using Visual Basic Analysis (VBA) or comparable scripting for process enhancement.
Secure scheduling and execution infrastructure for unattended automation.

Essential External System Integrations for Seamless Data Flow

  • Property management system for lease and tenant data updates.
  • Financial and accounting software for journal entries and reporting.
  • Email and communication platforms for automated notifications.
  • Document management systems for accessing and processing lease and property documents.

Non-Functional Requirements Ensuring System Reliability and Performance

  • High scalability to process thousands of reports and files concurrently.
  • Process uptime and scheduled execution reliability to ensure timely report generation.
  • 100% accuracy in data processing and reporting, eliminating manual errors.
  • Security standards compliant with industry best practices, ensuring data confidentiality.
  • Performance optimization to reduce processing time from 7 hours to under 2 hours.

Projected Business Benefits from Automation Implementation

Implementing an integrated automation solution is expected to significantly improve operational efficiency, reducing report processing times by approximately 70%, attaining 100% data accuracy, and increasing overall process productivity by up to 90%. This will enable the client to make faster, more informed decisions, respond more effectively to market changes, and enhance stakeholder engagement across their extensive property portfolio.

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