About us
We help CRE leaders turn scattered data into decision-grade intelligence by aligning definitions, grain, and a Common Data Model that can power analytics and AI.
A Note from Our Founders
After nearly two decades at the heart of global corporate real estate, we realized a fundamental truth: the industry isn't suffering from a lack of data, it is suffering from a lack of direction. Most organizations have spent years building massive systems of record that capture every payment, lease, and work order. But these systems are looking in the rearview mirror. They record the past, but they struggle to navigate the future. They tell you what happened, but they cannot tell you how to unlock the capital trapped within your portfolio or how to align your space with the evolving needs of your people.
We founded C&D Consulting to solve the "last mile" of the data journey. Having spent decades in the industry, we saw firsthand how even the most sophisticated portfolios struggle to connect daily operations to boardroom goals. We built this firm to provide the expertise and the architecture required to bridge that gap.
We are not here to give you another dashboard; we are here to build your decision engine. By combining high-grain data foundations with deep domain expertise, we help you turn raw information into a competitive advantage - reducing costs, mitigating risks, and ultimately, future-proofing your most valuable assets.
Our Solution Framework is more than just a map; it is our commitment to helping you navigate what is next.
Cofounders
Charles leads CRE strategy and client delivery with a focus on converting portfolio complexity into clear decisions and operating rhythm. He brings experience building global portfolio programs, aligning stakeholders, and translating executive questions into measurable outcomes. His work connects strategy, governance, and execution so data foundations map to how enterprises actually run.
LinkedInDiego builds the semantic layer that turns fragmented CRE data into a consistent model of reality. He focuses on definitions, grain, and common entities so analytics remain trustworthy across teams and systems. His work bridges CRE strategy with data engineering to produce an AI-ready foundation that supports repeatable, decision-grade insights.
LinkedIn