CI 102: Market Analysis for Commercial Investment Real Estate

One of CCIM’s most innovative core courses, CI 102 is a 5 day course that shows you how to deploy “big data” and the most advanced digital tools to assess critical issues like market demand, location facility, and supply-chain strategy. CI 102 students have learned BAO mapping and data analytics to help their clients select store locations; others used Tapestry Segmentation to determine demand for apartment properties. In CI 102 you’ll work with four case studies covering each of the major property types: office, industrial, multifamily, and retail.

This course FOCUSED on how to:

• apply Market and Competitive Analysis, Political and Legal Analysis, Location and Site Analysis, and Financial Analysis to make fundamental investment decisions;
• perform state-of-the-art geospatial analyses; and
• forecast future demand and opportunities for investment

   

CL 103: User Decision Analysis for Commercial Investment Real Estate

This 5-day course is focused on linking a company’s enterprise-level goals with their real estate strategy is key to offering the right space solution. Whether an investor, operator, or a broker, it’s important to approach real estate problems from the perspective of the user/occupant. In CI 103, you’ll learn such advanced skills as how to perform a comparative lease analysis between competing assets, analyze a sale-leaseback to help a client generate capital from their owned real estate, and advise a client on a lease vs. purchase decision to facilitate an expansion.

Incorporating the CCIM Decision-Making Model and the CCIM Communications/Negotiations Model, CI 103 explores new concepts regarding user discount rate selection, such as using multiple rates for some occupancy decisions based on perception of risk related to the various occupancy cash flows.

This course FOCUSED on how to:

• apply key occupancy decision-making skills such as comparative lease analysis, lease vs. purchase analysis, lease buyout analysis, and sale-leaseback analysis to optimize user space decisions;
• determine how the financial reporting requirements for real estate influence user decisions; and integrate negotiation skills with financial analysis skills to maximize user outcomes.