Title: Why Perfect Data Quality is Critical For Real Estate Marketplaces
1Why data quality is so important for real estate
2- 90 of decisions in real estate industry are data
driven
Source www.mckinsey.com
3Data unlocks new potential for real estate
marketplaces
- Risk mitigation
- Improved customer engagement
- Accurate appraisals
- Enhanced marketing strategy
- AI-enabled decision-making process
- Quick actionable insights
42 Types of Data Useful to Real Estate Marketplaces
Traditional
- Location intelligence
- Mortgage
- Loan
- Valuation
- Rentals
- Consumer behavior
- Appraisals
- Market pricing
- Insurance
- Cost of living
- Neighborhood
- Mobile signal
- Noise pollution
- Crime rate
- Coffee shops
- Schools
- Medical facilities
- Traffic
5Challenges in keeping property listings accurate
updated in real time
Constantly changing status of ownership
Incomplete property records
Constantly changing status of mortgage,
appraisals etc.
Duplicate property information
Inauthentic data sources
Inconsistent data formats
Incorrect property information
Outdated data (data decay)
6What constitutes good real estate data?
Accuracy
Relevance
Factors that Affect data quality
Timeliness
Validity
Consistency
Completeness
7How automation technology is navigating
property data management
- Technology driven omni-channel data capture
- Smart tools to validate property information
- Scheduled crawlers to capture data across time
zones - Robust process to keep database updated all the
time - Data wrangling tools to transform data's format
- Custom tools for automated cleansing and
enrichment - Automation to track and monitor frequent changes
in data - Price scraping tools
8Key ingredients for high quality property data
Technology-enabled solutions
A skilled and scalable workforce
Elevating higher than essential tools
Investment in infrastructure
Technology up gradation
Investment in skills and technology
9Manual processes are replaced by intelligent
automated tools for
Data Validation
Data Cleansing
Real-time Data Update
Data Enrichment
Data Standardization
Data Capture
10Outsourcing real estate data management to
qualified data specialists proves cost-effective
and a prudent decision.
11HabileData processed 6,50,000 property records
monthly for a real estate listing site
Solution
- Macros, scheduled bots and rule-based scripts
scraped and aggregated property data - Data validated and mapped against GIS info,
location tracking details, and data from other
MLS sites. - Programmable bots added new property information
Business Impact
- Updated and comprehensive property data pool
- Enhanced customer experience and engagement
- Improved operational efficiency
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12If you are looking for
Increased operational efficiencies
Optimised costs
24/7 support
Seamless workflow
Customized solutions
- Reach out to HabileData for industry proven real
estate data management solutions - www.habiledata.com info_at_habiledata.com