Tyler4Data

20+ Years Across the Real Estate Data Ecosystem

My experience with real estate data extends across the complete lifecycle — from understanding the original public record and source, to evaluating providers, licensing and negotiating data, designing processing logic, supporting customers, creating derived insights, and turning data into commercial products.

I have worked both for data providers and as a customer of data providers. That perspective helps me evaluate more than coverage or field counts. I consider quality, currency, ownership versus resale, licensing, cost, operational friction, support, scalability, and the overall value of the partnership.

Public Record Data

The foundation of the industry. Everything recorded against a property — who owns it, what they paid, what they owe, and what has been filed against it.

Tax Assessor

Properties, parcel records, ownership, characteristics, land and building attributes, tax information.

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Deeds

Sales and ownership transfers.

Mortgages

Voluntary liens and financing activity.

Preforeclosure

  • Notice of Default
  • Lis Pendens
  • Notice of Trustee Sale
  • Notice of Foreclosure Sale / auction activity

Assignments

Lien and mortgage transfers.

Releases

Lien releases and satisfactions.

Involuntary Liens

  • Tax liens
  • Mechanics liens
  • Other involuntary lien activity

Additional public-record expertise

  • Building permits
  • Nationwide Multistate Licensing System (NMLS)
  • Document images
  • Assessor parcel maps

Modeled & Derived Property Data

Built on top of the public record, where much of the commercially interesting signal lives. Knowing which model to trust, and how far, is most of the work.

Valuation and equity

  • Automated Valuation Models (AVMs)
  • Rental Automated Valuation Models and rental estimates
  • Open mortgages
  • Estimated open balances
  • Equity calculations
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Association data

  • Homeowner Association data
  • Condominium association / COA data
  • Planned Unit Development / PUD data

Geospatial Data

The boundaries and overlays that turn a list of parcels into a map — and that decide whether a property falls inside a flood zone, a school district, or an opportunity zone.

Boundaries and overlays

  • Parcel boundaries
  • FEMA flood zones
  • Opportunity zones
  • School attendance boundaries
  • School ratings
  • Neighborhood boundaries
  • ZIP code boundaries
  • City boundaries
  • County boundaries
  • Building footprint boundaries

MLS Data

Active and historical listing activity, and the feed rules that govern what may be displayed, stored, and redistributed.

Listings and history

  • Active and on-market listings
  • Historical listing activity
  • Listing status and history
  • Photos
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Feeds and compliance

  • MLS feed utilization
  • Brokerage and MLS regulatory considerations
  • Data-feed compliance requirements

This is operational and product experience with MLS data and its feed rules. Tyler is not legal counsel and is not an MLS operator.

Community Data

The area-level context that explains why two otherwise identical properties behave differently.

Area attributes

  • Population and demographics
  • Household and income
  • Employment and labor
  • Education
  • Commute and transportation
  • Climate and hazards
  • Civic and economic indicators
  • Crime

Consumer & Business Data

Who the people behind the properties are, and how to reach them — the category where compliance mistakes become expensive fastest.

Consumer insights

Age, income, and related demographic attributes.

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Household insights

Hobbies and interests, household characteristics, children present, and other modeled household attributes.

Consumer contact

  • Names
  • Landline phones
  • Mobile phones
  • Email addresses
  • Social profiles

Business data

  • Industry
  • Company information
  • Contacts
  • Roles
  • Related business attributes

Automotive Data

Experience with datasets identifying vehicle ownership and characteristics.

Vehicle attributes

  • Year
  • Make
  • Model
  • Related vehicle attributes

Adjacent data expertise rather than a primary specialty, included because it comes up in consumer marketing and identity work.

Created & Conceptualized Data Products

Some of the most valuable data does not exist as a single raw source. Over my career, I have identified opportunities to turn existing data into new intelligence, defined the logic and intended outcomes, and created the detailed requirements developers needed to bring those concepts to life.

  • Vacant Properties

    Nationwide identification of properties likely to be vacant.

  • Flipper Activity

    Identification of property flippers and their historical activity.

  • Linked Properties

    Identification of properties associated through current ownership.

  • Master Address

    A comprehensive address intelligence concept linking addresses to the parcels on which they exist, supporting applications such as type-ahead search and improved unit and property understanding.

  • Tired Landlords

    Identification of landlord ownership patterns relevant to potential disposition opportunities.

  • Zombie Properties

    Identification of properties exhibiting characteristics associated with abandoned or distressed foreclosure situations.

  • Cash Buyers

    Identification and analysis of cash-purchase activity.

  • Motivation to Sell

    Data-driven identification of signals relevant to potential seller motivation.

  • Motivation to Refinance

    Identification of signals relevant to potential refinance opportunities.

  • Motivation for Solar

    Identification of characteristics relevant to potential solar opportunities.

  • Motivation for Construction / Renovation

    Identification of characteristics relevant to construction or renovation opportunities.

  • Motivation for Roof Repair

    Identification of characteristics relevant to potential roofing needs and opportunities.

In each case Tyler personally identified or conceptualized the business logic and created the detailed requirements that enabled development teams to bring the product or concept to life. The underlying formulas, source combinations, and implementation logic remain proprietary to the businesses that built them.

Knowing the Data Is Only Part of the Decision

Two providers may appear to offer the same dataset while delivering very different outcomes. I help companies evaluate the complete relationship: where the data originates, whether it is owned or resold, coverage, currency, accuracy, licensing flexibility, support, cost, scalability, operational ease, and the provider's ability to grow with the business.

My experience as both a data provider and a data customer gives me a practical understanding of the tradeoffs that are difficult to learn from a specification sheet alone.

What gets evaluated

  • Where the data originates
  • Owned or resold
  • Coverage
  • Currency
  • Accuracy
  • Licensing flexibility
  • Support
  • Cost
  • Scalability
  • Operational ease
  • Ability to grow with the business

Compliance operations

TCPA · Do Not Call · CCPA · State privacy & marketing rules

Tyler provides operational and industry expertise, not legal advice. Clients should consult qualified counsel for legal interpretations and formal compliance opinions.

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