Urban Analytics
Exploring the relationship between Data Analytics and Real Estate, Economic Development and Urban Planning.
Quality Data Matters
The quality of your data affects your results. If your data is a mess, your results will be as well.
I have helped improve the quality of data in a wide range of situations.
Data Products
I mix four disciplines which are Data Analysis, Software Engineering, Data Engineering and Data Science to help people build custom data products that delivers the right data at the right time to the right destination in the right format.
Business Intelligence
Powered by a data warehouse and data engineering business intelligence provided both automated and self-service visualizations to make better decisions and understand what is going on your your properties.
Machine Learning
Machine Learning blends math and statistics to build models that provide predictive analytics, classification, clustering and recommendations and text analytics. Useful for portfolio valuation, property management, tenant screening and pre-purchase analysis.
Automation Programs
Automate tasks that streamline operations, run reports, process data and get notified when aberrations are detected. Run on a schedule or event driven.
GIS
GIS (Geographic Information Systems) enables high end mapping and spatial analytics to provide location-based analytics. Useful for property mapping and site selection.
Latest Articles
Strategy Is Greater Than Technology
Oct. 11, 2025
This article explains why Data Strategy is more important than implementing technology.
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Data In Real Estate
Sept. 13, 2025
This article is about how data engineering is valuable to the real estate business.
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Quality Data
July 29, 2025
This article is about the Mount Rushmore of Quality Data. Intentional, Accurate, Accessible, Valuable.
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Data Engineering
July 21, 2025
This article is an overview of the data engineering role. What it is, why it matters, what they do and how they fit.
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The Value of Data Engineering
July 21, 2025
This article describes the value a data engineer brings to an organization.
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