Better Property Data Is Becoming a Competitive Advantage
For years, property insurance teams have relied on a familiar renewal process: collecting spreadsheets, reconciling conflicting information, filling in missing property details, and preparing a Statement of Values before taking an account to market.
That process is becoming more difficult to sustain.
As underwriters seek greater precision in catastrophe modeling, risk selection, and pricing, the quality of property data has become a more visible factor in how submissions are evaluated. Complete, accurate, and well-organized property data can help brokers and risk managers reduce back-and-forth with underwriters, support stronger modeling inputs, and create more confidence during renewal discussions.
WTW: Data Quality Is Becoming a Market Differentiator
Few organizations have articulated this shift more clearly than Willis Towers Watson.
In the WTW Insurance Marketplace Realities 2026 Spring Update, Scott Pizzi, Head of Property at WTW, discussed how data quality is increasingly influencing risk differentiation and underwriting outcomes:
"Data quality: High quality submission data is increasingly key to risk differentiation and securing optimal terms. WTW has partnered with Archipelago to materially enhance the quality and depth of property data, including both primary and secondary COPE attributes. On recent accounts, these improvements resulted in double-digit reductions in modeled losses (AALs), delivering significant premium savings for our clients. Archipelago enables us to efficiently extract critical information from multiple sources and seamlessly integrate it into our clients' SOVs, which we then incorporate into accurate, high-quality submissions. This disciplined, data-driven approach consistently produces stronger underwriting outcomes for insureds and is likely to become an even more essential differentiator as the property market evolves."
— Scott Pizzi, Head of Property, WTW
WTW’s perspective reflects a broader shift across the property insurance market. Brokers, risk managers, and CAT modelers are increasingly focused on data quality not only as an operational improvement, but as a foundation for better underwriting conversations.
The following success stories highlight how five industry leaders are approaching property data quality across different roles in the insurance ecosystem.
Read the WTW Insurance Marketplace Realities 2026 Spring Update ->
Prologis: Managing Property Data Across $136 Billion in Assets
For large global portfolios, property data management is a year-round discipline. Each building can have dozens of relevant attributes, supporting documents, valuations, and risk characteristics. When that information is spread across disconnected spreadsheets, emails, and legacy systems, preparing a complete submission becomes more difficult with every renewal cycle.
Prologis, one of the world’s largest logistics real estate companies, worked with Archipelago to centralize and improve property data across its global portfolio.
Prologis by the Numbers:
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4,665 buildings
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$136B in assets
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20+ connected data sources
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100% stewardship enrichment
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40 insurers receiving data directly
By connecting data across more than 20 sources, Prologis created a more complete and consistent view of its portfolio. Instead of relying on static spreadsheets that are recreated or repaired each renewal, the team could continuously improve property information and make it easier for insurers to access submission-ready data.
This matters at scale. A portfolio with thousands of buildings requires more than a clean spreadsheet at renewal. It requires a repeatable process for maintaining accurate property information, tracking changes, and providing insurers with confidence in the data behind the submission.
Jeffrey Bray, Senior Vice President and Head of Global Risk Management at Prologis, discussed the impact during his appearance on the RIMScast podcast after being named the 2026 RIMS Risk Manager of the Year. In that conversation, he described Archipelago as:
"a game-changer in a way that insurance companies couldn't believe."
— Jeffrey Bray, SVP and Head of Global Risk Management at Prologis & RIMS 2026 Risk Manager of the Year
For Prologis, better property data helped create a more efficient and transparent process for sharing submission information with insurers. The result was not simply cleaner data, but a more scalable way to manage risk information across one of the world’s largest real estate portfolios.
Read the Prologis Case Study ->
Listen to Jeffrey Bray in his RIMScast interview ->
Extra Space Storage: Turning Better Data Into Better Placements
Large property portfolios change constantly. Locations are acquired, renovated, revalued, and reclassified. Construction details, occupancy information, valuations, and supporting documents can become difficult to maintain over time, especially when teams are preparing for renewal across thousands of properties.
Extra Space Storage used Archipelago to improve the completeness and accuracy of its property data across more than 3,800 insured properties.
Extra Space Storage by the Numbers:
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3,800+ properties
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99% complete submission
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106 underwriters
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55 markets
Those results changed how the submission was brought to market. With a 99% complete SOV, brokers and underwriters were able to work from a more consistent and comprehensive data set. At renewal, 106 underwriters across 55 markets accessed the submission directly.
For Kacey Kalian, Vice President of Risk Management at Extra Space Storage, the value was both operational and strategic:
“Archipelago has transformed the completeness and accuracy of our SOV data and streamlined our data management and reporting capabilities. Among many other benefits, this has also empowered our brokers to further differentiate our placements with key insurance markets worldwide.”
— Kacey Kalian, VP of Risk Management, Extra Space Storage
The broker perspective reinforces the importance of data quality in challenging market conditions. Nick Taylor, Vice President, Team Lead, Account Executive at Lockton, described how Extra Space’s improved SOV data supported the placement process:
“Since Extra Space began using the Archipelago platform 3 years ago, the data quality of their SOV has improved by leaps and bounds. The quality SOV data has been crucial to our marketing efforts in recent hard markets and feedback from underwriters has been positive.”
— Nick Taylor, Vice President, Team Lead, Account Executive, Lockton
Extra Space’s experience shows how better property data can influence more than internal reporting. It can help brokers differentiate placements, provide underwriters with more reliable information, and support stronger engagement across insurance markets.
Read the Extra Space Storage Case Study ->
Watch Kacey Kalian’s Customer Story ->
Alliant: Building a Living, Breathing Statement of Values
For brokers, property data quality is not limited to one renewal cycle. The most valuable SOV is one that improves over time.
Scott McNea, Property & Casualty Broker at Alliant Insurance Services, describes Archipelago as a way to help clients maintain a more accurate, continuously improving property data set:
“I would say that it is a way to create, for your client, a living, breathing statement of values that we can consistently work on year after year that makes sure that we have the most accurate data for modeling, which in turn saves money and protects your operation.”
— Scott McNea, Property & Casualty Broker, Alliant Insurance Services
That perspective is important because many brokers still inherit SOVs that are incomplete, outdated, or difficult to validate. When property data only gets reviewed during renewal season, teams are often left trying to fix years of data issues under tight timelines.
A living SOV changes that process. It gives brokers and clients a way to continuously improve property information, identify gaps earlier, and prepare for renewals with better modeling inputs. For clients, that can support more informed decision-making. For brokers, it creates a stronger foundation for placement strategy and market conversations.
Watch Scott McNea’s Customer Story ->
Gallagher: Giving CAT Modelers Their Time Back
Property data quality also has a direct impact on catastrophe modeling. Before a CAT modeler can produce useful analysis, the underlying SOV needs to be standardized, complete, and reliable.
Lauren Carrubba, a CAT Modeler at Gallagher, described the manual cleanup work that often happens before modeling can begin:
“I've seen my fair share of really, really bad SOVs. I would spend weeks at a time just cleaning up SOVs. My whole process, as soon as I get a request, it goes straight to Archipelago.”
— Lauren Carrubba, CAT Modeler, Gallagher
For CAT modelers, time spent cleaning spreadsheets is time that cannot be spent analyzing risk, interpreting model outputs, or advising broker teams and clients. Standardizing SOV data earlier in the workflow helps move accounts into modeling faster and allows analytical teams to focus on higher-value work.
Gallagher’s experience highlights a practical benefit of better property data: it reduces the manual work required to make data usable. That creates more time for analysis and improves the quality of the inputs behind risk conversations.
Watch Lauren Carrubba’s Customer Story ->
Five Perspectives, One Common Theme
WTW, Prologis, Extra Space Storage, Alliant, and Gallagher represent different roles across the property insurance ecosystem: global broker, enterprise risk manager, broker, and CAT modeler.
Their perspectives point to a consistent theme. Better property data helps teams prepare more complete submissions, improve modeling inputs, reduce manual cleanup, and support stronger conversations with underwriters.
For brokers and risk managers, the opportunity is not simply to collect more data. It is to make property information more accurate, accessible, and actionable throughout the insurance lifecycle.
As the property market continues to evolve, the organizations that invest in better data quality will be better positioned to differentiate risk, strengthen renewal strategy, and improve underwriting outcomes.
Explore the Success Stories
WTW Insurance Marketplace Realities 2026 Spring Update
Prologis Case Study
Jeffrey Bray RIMScast Episode
Extra Space Storage Case Study
Kacey Kalian Customer Story
Scott McNea Customer Story
Lauren Carrubba Customer Story
