Tyler4Data

Data expertise

20+ Years Across the Real Estate Data Ecosystem

From source records and licensing to multi-source strategy, identity resolution, derived signals, productization and new intelligence.

From source to strategy

The Value Is Knowing What the Data Can Become

My experience covers the complete lifecycle — understanding the original source, evaluating providers, licensing and negotiating utilization, defining processing logic, combining sources, resolving property and owner identities, creating derived insights, and turning data into commercial products.

Specialties

Deep Into the Details

These capabilities distinguish the work from generic high-level data strategy.

  • Multi-Source Data Strategy

    Combine same, similar or complementary sources using prioritization, fallback, conflict, quality and economics rules.

  • Property & Identity Resolution

    Develop business logic for property, owner and person matching, normalization, deduplication and cross-source linking.

  • Data Lineage

    Preserve original source values and maintain traceability around which value was selected, where it came from and why.

  • Motivation & Opportunity Scoring

    Design business logic that ranks relative intent or opportunity based on observable data signals, without implying time-bound prediction.

  • Scoring QC & Validation

    Review sample outputs, investigate unexpected rankings, adjust logic and validate that the implemented model reflects the intended business behavior.

  • Data Product Ideation

    Look at what a company already has and identify what else could be created from it — new insights, products, combinations, signals and use cases.

Dataset expertise

Representative Data Categories

Experience across a broad range of real estate, property, consumer, business, geospatial and market datasets, with an understanding of how they are sourced, connected, licensed and turned into useful products and insights.

Public Record Data

Assessor, deeds, mortgages, preforeclosure, assignments, releases, liens, permits, NMLS, document images and parcel maps. The focus is not only on what a record contains, but how records connect to ownership history, distress, financing and product use cases.

Modeled & Derived Property Data

AVMs, rental estimates, open mortgages, estimated balances, equity calculations and other derived insights — including where modeled information adds value and where its limitations matter.

Geospatial Data

Parcel boundaries, building footprints, flood zones, opportunity zones, school boundaries/ratings, neighborhoods, ZIPs, cities and counties used to add spatial context to property and market data.

MLS & Listing Data

Active and historical listings, status history, photos, feed utilization, brokerage relationships, permitted use and operational compliance considerations.

Consumer, Business & Additional Data

Consumer identity/contact and demographic attributes, business data, automotive ownership, point-of-interest, Census/community and other datasets that enrich property information or support new products and use cases.

Created intelligence

Turning Existing Data Into Something New

Examples are intentionally high-level. Proprietary formulas, weights, signals and source combinations remain confidential.

  • Vacant Properties
  • Flipper Activity
  • Linked Properties
  • Master Address
  • Tired Landlords
  • Zombie Properties
  • Cash Buyers
  • Motivation to Sell
  • Motivation to Refinance
  • Solar Opportunities
  • Construction / Renovation
  • Roofing Opportunities

Business expertise beyond data

My work also spans CRM, billing, pricing, product requirements, customer operations, partnerships, and cross-functional execution. I connect those disciplines with data to help solve the broader business problem.

Explore Solutions Expertise

Tools & Technologies I Work With

My work often requires moving between data, product, operations, billing, CRM, project management, and customer engagement platforms. I have hands-on experience working with a broad range of tools and technologies, allowing me to work within a client's existing technology stack rather than requiring a specific set of platforms.

Data & Analytics
Excel (formulas and Power Pivot), Google Sheets, Tableau, SQL (basic)
Product, Planning & Requirements
Jira, Azure DevOps (ADO), Monday.com, Linear, Lucidchart, Visio, Miro
CRM & Customer Operations
Salesforce, HubSpot, Keap / Infusionsoft, Pendo, Inflection.ai
Billing & Payments
Stripe, Chargebee, Authorize.net
AI & Productivity
ChatGPT, Claude, Gemini
Design & Prototyping
Figma, Adobe XD
API & Technical Collaboration
Postman
Communication & Collaboration
Slack, Microsoft Teams, Zoom, GoToWebinar, Loom, Calendly
Business Productivity
PowerPoint, Word, Snagit
Calling & Telephony
Aircall, RingCentral, plus experience with multiple outbound dialer platforms
Outbound & Data Enrichment
Direct mail platforms, SMS platforms, email platforms, contact append providers, email & phone hygiene and protection services

Additional Platform Experience

I have also worked across outbound email, SMS, dialer, direct mail, contact append, data enrichment, and customer outreach platforms. My experience includes evaluating providers, defining requirements, establishing workflows, and determining which solutions fit the business need. I define data and integration requirements and help validate implementations. A developer writes custom API and database integration code.

Have a Challenge, Idea, or Opportunity Worth Exploring?

If you are trying to solve a problem, build something new, improve what already exists, or simply need an experienced perspective, let's have a conversation.

Let's Talk

Based in Orange County, California · Serving clients nationwide · Available for onsite engagements