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RoZetta Technology
Contextual hero: residential property or market index theme

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Using behavioral property settlement data to develop market indices

MonthlyIndex updates
National to localGeographic levels
Market firstQuantitative time series
Corporates Data analytics, Data monetization, Investment signals

Industry

Corporates

Use case

Data analytics, Data monetization, Investment signals

Product deployed

DataHex and data science, automated cloud index delivery

Challenge

A market-first index, from settlement behavior

PEXA, a world-first digital property settlement platform, wanted to provide the mortgage industry greater insight through a Refinance Index, helping lenders, securitization holders, and government agencies understand trends, benchmark market share, and spot emerging risks, and to license a unique market-insight data product.

Solution

An automated cloud index, in the PEXA portal

RoZetta’s data scientists used behavioral data to build a residential refinance index by geographic market, designed, developed, and delivered through an automated cloud solution with monthly updates at all levels of geography: national, state, metro and regional, and local.

The index is integrated into the PEXA web portal, tracking refinance value and volume historically with comparison across geographies.

What DataHex delivered

  • A residential refinance index Built by RoZetta data scientists from behavioral settlement data, by geographic market.
  • Automated cloud delivery Monthly updates at national, state, metro and regional, and local level.
  • Integrated into the PEXA web portal Tracking refinance value and volume historically, with comparison across geographies.

Results

A new revenue line from data already held

  • Accelerated speed to market for the index
  • Benchmarking of mortgage portfolio changes against the market
  • Visibility of underlying portfolio risks
  • A new revenue opportunity from PEXA’s property data
  • A foundation for future indices
  • A market first in quantitative time-series trends at all levels of geography

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