Data Architecture & Engineering for Real Estate

Design and build reliable, scalable data infrastructure that supports reporting, analytics, automation, and AI. Gallagher & Mohan combines data architecture and engineering expertise with deep commercial real estate knowledge to help organizations connect, structure, manage, and unlock the value of their data.

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Dedicated Technology Professionals

Real Estate Industry Expertise

AI, Data, Automation & BI Capabilities

Overview

Real estate organizations manage data across property management platforms, accounting systems, leasing applications, CRM platforms, spreadsheets, databases, and other operational systems. When this information remains fragmented, organizations can face inconsistent reporting, manual processes, limited visibility, and challenges scaling analytics and AI initiatives. Gallagher & Mohan’s Data Architecture & Engineering team helps organizations build the infrastructure required to bring these data environments together. Our data professionals work across data architecture, data engineering, ETL/ELT, data warehousing, data pipelines, APIs, database development, data modeling, data integration, and data governance to create structured and reliable data environments. Backed by Gallagher & Mohan’s commercial real estate expertise, our team understands the relationships between property, tenant, lease, accounting, asset, fund, investment, and operational data. This enables us to build data solutions around real estate business requirements rather than treating data as a purely technical challenge.

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Our Solutions

Design scalable and sustainable data architectures aligned with your organization's systems, reporting requirements, analytics initiatives, and long-term technology roadmap. Our data architects evaluate existing data environments, identify gaps and integration requirements, and develop architectures that support reliable data management across the organization. We help establish the structure required to connect data sources, support business intelligence, enable automation, and create a strong foundation for future AI initiatives. Architecture can be designed around existing technology environments while allowing organizations to scale as data volumes and business requirements grow.

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Develop and maintain the pipelines, databases, integrations, and infrastructure required to collect, transform, and deliver reliable data. Our data engineers work across structured and unstructured data environments to create efficient processes for moving and preparing information. We help organizations improve the availability and reliability of their data by building engineering solutions that support reporting, analytics, automation, and operational applications. Our team can also maintain and optimize existing data infrastructure as systems and requirements evolve.

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Centralize information from multiple systems into structured data warehouses that provide a reliable foundation for reporting, analytics, automation, and AI. We design data warehouse environments that bring together financial, property, leasing, operational, and other business information. A centralized data environment can help organizations establish consistent reporting, reduce fragmented data sources, improve accessibility, and provide users with a more complete view of business performance. Our solutions can be designed around current reporting requirements while supporting future analytical and AI applications.

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Build automated processes to extract, transform, load, and organize information from multiple real estate data sources. Our ETL and ELT solutions help move information from source systems into databases, warehouses, and analytics environments while applying the transformations required for consistent use. We can automate recurring data preparation activities, standardize information across systems, and establish repeatable processes for delivering clean and structured data to downstream applications and reporting environments.

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Develop scalable data pipelines that move information efficiently between source systems, databases, warehouses, applications, and analytics environments. Our pipelines are designed to support reliable and repeatable movement of information across complex technology environments. We help organizations automate data flows, reduce manual data handling, improve processing efficiency, and make information available to the teams and applications that need it. Pipelines can support both recurring operational processes and larger analytics and AI initiatives.

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Connect property management, accounting, leasing, CRM, financial, operational, and other business systems to create a more connected data environment. Our integration solutions help organizations bring information together from systems that may otherwise operate independently. By connecting critical data sources, we help reduce duplicate data handling, improve information accessibility, and create more consistent flows of information across business processes. Integrations can be designed around existing applications, databases, APIs, and technology infrastructure.

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Design structured data models that establish consistent relationships between properties, assets, tenants, leases, transactions, funds, and other critical real estate information. Effective data modeling creates a common structure for how information is stored, connected, and accessed across the organization. Our team develops models that support reporting, analytics, business intelligence, automation, and AI applications. We help translate complex real estate business relationships into structured data environments that are easier to manage and analyze.

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Use APIs to connect applications and enable reliable, automated exchange of information across your technology environment. Our team can develop and integrate APIs that allow systems, databases, applications, and external data sources to communicate more efficiently. API-based integration can help automate data transfers, reduce manual processes, support real-time or scheduled information exchange, and connect existing technology environments without requiring organizations to replace their core systems.

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Establish processes and controls that improve data accuracy, consistency, accessibility, security, and accountability across the organization. Our data governance and quality solutions help organizations establish greater confidence in the information used for reporting, analytics, automation, and decision-making. We can support data validation, standardization, quality monitoring, ownership, and governance processes that help identify inconsistencies and improve the reliability of critical real estate data.

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Design, develop, optimize, and maintain databases that support operational applications, reporting, analytics, and business intelligence. Our database professionals work with organizations to create data structures that are reliable, efficient, scalable, and aligned with business requirements. We can support new database development as well as the optimization and maintenance of existing environments, helping organizations improve performance, manage growing data volumes, and provide applications and users with reliable access to critical information.

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Data Solutions Across Real Estate

Our Data Architecture & Engineering team brings together data architects, data engineers, database developers, integration specialists, ETL/ELT professionals, data analysts, and technology specialists with experience across modern data environments. What differentiates our team is the combination of technical data expertise and commercial real estate knowledge. Our professionals work within Gallagher & Mohan’s broader real estate ecosystem, giving them an understanding of the data structures, systems, workflows, and business requirements that define the industry. Whether you need to build a data warehouse, integrate multiple systems, develop data pipelines, improve data quality, or prepare your environment for AI and advanced analytics, our professionals work as an extension of your team to help design and execute the solution.