In industrial commercial real estate, making informed decisions is not just beneficial—it's vital. The process of site selection, a critical step in the development and expansion of industrial properties, has been transformed by the data revolution. The following explains how industrial commercial real estate owners and operators can leverage data analytics to find the perfect location for their next project.
The Importance of Location in Industrial Commercial Real Estate
Location is a cornerstone of success in the industrial commercial real estate industry. It influences logistics, operational efficiency, cost management, and ultimately, profitability. The right site location can significantly enhance accessibility to key markets, supply chains, and talent. Alternatively, a poorly chosen location might increase transportation & drayage costs, complicate logistics, and limit growth opportunities. This is why a data-driven site selection strategy is essential it transforms intuition-based decisions into data-backed strategies.
Leveraging the Power of Data Analytics
Data analytics is used in commercial real estate site selection by analyzing vast amounts of information related to demographics, market trends, transportation logistics, environmental factors, and regulatory landscapes. Here are a few ways it can be applied:
Market Analysis and Demographics: Understanding the market demand within specific regions and the demographics of potential labor can significantly influence site selection. Data analytics tools can process census data, economic indicators, and consumer trends to identify locations with high growth potential.
Logistics and Transportation: For industrial properties, proximity to major transportation hubs such as highways, ports, and railroads is essential. Data analytics platforms can evaluate transportation networks, proximity to off-ramps and on-ramps traffic patterns, and shipping costs to determine the most accessible and cost-effective sites.
Environmental and Regulatory Compliance: Data platforms can help identify potential environmental risks as well as ensure compliance with local, state, and federal regulations. Including zoning laws, environmental protection rules, and building codes, reducing the risk of costly delays or legal issues.
Cost Analysis: Beyond the purchase price of land, there are various costs associated with developing and operating industrial commercial real estate properties. Data analytics platforms can provide a detailed cost-benefit analysis, considering factors like tax incentives, utility costs, and construction expenses, to identify locations that offer the best value.
The Competitive Edge of Data-Driven Decisions
In an industry with little margin for error, and the impact of decisions is long-lasting, a data-driven approach to site selection offers a competitive edge. It empowers industrial commercial real estate owners and operators to make informed, strategic decisions that optimize operational efficiency, manage risks, and maximize returns on investment, positioning industrial properties for success in a dynamic and competitive market.
For industrial commercial real estate owners and operators, the shift towards data-driven site selection is not just a trend—it's a strategic approach that opens up new opportunities for growth and success. By embracing the power of data analytics, industrial commercial real estate owners and operators can navigate the complexities of the market with greater confidence and precision, ensuring that their investments not only meet but exceed their goals.
NavigatorCRE is a centralized data analytics platform, built specifically for the commercial real estate industry. Contact the NavigatorCRE team today to start your data journey.