Urban Analytics
Exploring the relationship between Data Analytics and Real Estate, Economic Development and Urban Planning.
Better ROI
Data is the fuel of modern business. The better your data the better your ROI. This is because with High Quality Data you can spot better deals, connect with the right customers, lower expenses and streamline operations through automation. Obtaining data that is valuable involves 3 distinct areas: Data Management, Data Engineering and Data Product development.
Data Management
Data Management is concerned with the business side of data and being strategic to ensure high quality.
Data Engineering
Data Engineering is concerned with the technical side and builds out the infrastructure and storage systems for your data.
Data Products
Data Products put easy to use technology into the hands of your team to they have accurate and reliable information when they need it.
Data Management
Data Management affects the business side of the organization and its use of data. It is concerned with activities such as Governance, Strategy, Standards, Quality and Change Management. Doing good Data Management doesn't happen by accident. It is a highly intentional act and produces great results downstream. It is what enables the implement of technology and data products that add value to the organization.
Data Engineering
Data Engineering and operations involves the data and infrastructure that runs "Under the Hood" that makes data valuable and powers data products. It involves data modeling, architecture, storage, security, privacy, integration, quality, processing and movement.
Planning
Data engineering involves the planning of data infrastructure using data modeling and data architecture as well as determining requirement for security, privacy, access, etc.
Implementing
You then implement the plan and designs to build out the data infrastructure and systems to capture and process data.
Integration
Data integration utilizes data pipelines which move data between a myriad of sources and into a destination database using a process called Extract Transform Load or ETL.
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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