Keeping data comprehensive
Omni-channel data capture is the foremost challenge for real estate data aggregators. With privacy law compliance on third-party cookies and consumers rightly conscious about their personal data the gathering of zero, first-party, second-party, and third-party data has become extremely difficult.
Maintaining data accuracy
Inaccurate and incomplete data poses a typical challenge for data aggregators. Often, scrutiny of public records or upating of data lacks diligence. And credibility suffers when clients receive data that is outdated or lacks authenticity. To overcome this, aggregators need to constantly check dynamic public records, including:
Keeping dirty data at bay
Data aggregators use real-time property information as a force multiplier to arm their clients with deep property and customer intelligence. But it has an Achilles heel: dirty data. Dirty data manifests in various forms like duplicate data, inaccuracies, and other errors. Inaccurate and stagnant data are not reliable enough to show if a property title is free of any claims, liens, or other issues, and the workload inevitably increases.
Preventing data decay
Keeping dynamic data attributes updated, refreshed and comprehensive poses a challenge for real estate data aggregators. These include vital information like property titles, mortgage, tax, appraisals, etc. Selling inaccurate, outdated, or incomplete property information to clients can jeopardize a real estate data company's brand credibility and revenue streams.