Connected property data for real-world use cases—delivered in Databricks

Across industries, leaders are under pressure to deliver faster insights, automate decisions, and operationalize AI. But without connected, AI-ready property data, progress often stalls.

It’s not about a lack of data. It’s that property data is difficult to connect, inconsistent across sources, and often lacks the context AI needs, creating delays at the very stage where AI workflows are meant to save time.

While much of the AI conversation focuses on models, agents, and automation, the real benefit starts earlier: connecting and contextualizing the data that fuels those tools.

At Cotality, that foundation has long been established with CLIP®, our integrated property identifier. Now, with the CLIP App available natively in the Databricks Data Intelligence Platform, that foundation can be integrated directly into the workflows where data is accessed, models are used, and insights are generated.

Why disconnected property data slows AI workflows

Property data sits at the center of critical business decisions, but it’s inherently messy.

A single property can appear differently across systems due to:

• Inconsistent or changing addresses
• Non-standardized parcel identifiers
• Missing or incomplete records for certain property types

As a result, teams spend significant time reconciling data before they can analyze it. What should be a straightforward input into modeling or decisioning pipelines becomes a bottleneck, limiting the speed and reliability of downstream outputs.

Without a consistent way to link and contextualize property data, advanced analytics and AI workflows are forced to operate on incomplete inputs.

CLIP: The foundation for connected data

CLIP provides a consistent way to identify and link property records across datasets, creating a reliable foundation for analysis.  

Its value, however, goes beyond data resolution. By eliminating time-consuming, manual reconciliation, CLIP allows teams to focus on higher-value activities, including building models, automating workflows, and scaling insights across the business.  

This shift, from preparing data to using it, is where the greatest gains occur.

For example, a leading national credit union used CLIP to unify a 2M-record member file with a 91% hit rate – returning 400,000 more matched records. This was a 15% increase from the credit union’s previous provider, accelerating portfolio analysis.

Bringing connected property data into Databricks workflows

Databricks has become a central platform for organizations to build data pipelines and develop models. But to fully realize that value, the underlying data needs to be ready to support those workflows.

The CLIP App for Databricks is now natively available, allowing teams to resolve and connect property data directly within their existing environment.  

With the CLIP App, teams can:

• Tie CLIP IDs directly to datasets
• Streamline disparate property data into a connected view
• Move seamlessly from data preparation to insight generation
• Maintain security and governance without moving or duplicating data

Instead of slowing down workflows, property data becomes an integrated, usable input aligned with how modern data teams operate.

Enabling real-world use cases  

The impact of connected property data can be seen across industries:

• Insurance: More accurate risk assessment and underwriting through linked property records.
• Telecommunications: Improved location intelligence and serviceability insights across complex properties.
• Financial services: Greater portfolio visibility and faster analysis through unified datasets.
• Cross-domain analytics: Deeper insights by connecting internal and third-party property data.

Across each scenario, the pattern is consistent. When data is connected, decisions become faster, more accurate, and easier to scale.

Meeting customers where work happens

Organizations don’t want to introduce new tools to solve foundational data challenges. They want the capabilities they need embedded into the platforms they already use.

CLIP’s availability in Databricks – alongside other cloud environments – reflects a broader strategy: delivering property data connectivity wherever analytics and AI development occurs.

Same CLIP ID. Same trusted foundation. Now embedded where it can be applied immediately.

From data preparation to outcomes

AI value doesn’t start with models. It starts with connected, ready-to-use data.

With the CLIP App for Databricks, organizations can move beyond fragmented property data and manual preparation, integrating a trusted foundation directly into their workflows.

The result is simple: less time preparing data, more time solving real-world problems.

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