Data powers all analytics today – driving industry workflows from customer and market intelligence to understand property features, risk management, and resource allocation. Internal structured data alone is not sufficient – an incomplete database is ineffective.
Data enrichment with contextual information, helps leaders make intelligent decisions to help extract deeper business insights and better utilize existing tools and resources to gain a competitive advantage through confident decision-making.
Understanding your data in the context of location opens the door to accurate business decisions and processes. Precisely’s Property Graph helps expose and leverage the relationships between property features and addresses, plus the rest of our rich portfolio of expertly curated datasets quickly adds business value by linking business data records to real-life locations.
In this on-demand webinar, discover the value of incorporating data enrichment into current business processes for better informed, data-driven decisions.
Join us to hear how to:
- Utilize data enrichment to make better decisions in the fast-growing PropTech industry
- Make better business decisions by leveraging over 9000 trusted attributes to inform machine learning (ML) and other analytical models
- Easily incorporate accurate, complete, and current data into business processes
2. Housekeeping
• Today’s webcast audio is streamed through your
computer speakers
• If you need technical assistance with the web interface
or audio, please reach out to us using the Q&A box
• Submit your questions at any time during the
presentation using the Q&A box. If we don't get to your
question, we will follow-up via email
• This webinar is being recorded. You will receive an email
following the webinar with a link to the recording and
slides
5. Our software, data enrichment products and
strategic services deliver accuracy, consistency, and
context in your data, powering confident decisions.
of the Fortune 100
99
countries
100 2,500
employees
customers
12,000
Brands you trust, trust us
Data leaders partner with us
5
7. 7
Trusted business decisions
a challenge without context
• Unrealized business growth due to poor visibility into risk, opportunity,
and customer behavior
• Missed opportunities due to lack of awareness of customer needs
and market trends
• High cost of internally sourcing, prepping and maintaining contextual
datasets
• Compliance issues with privacy regulations
Businesses want
data that is curated,
prepared, maintained,
and easily incorporated
into business processes
8. State of the business: PropTech
Mortgage
Underwriting a mortgage
Context needed:
• Property attributes
• Tax history
• Parcel lot boundaries
• Building boundaries
8
Home search portal
Facilitating the home buying process
Context needed:
• Environmental risks
• Parcel lot boundaries
• Neighborhood information
• School information
Retail site selection
Choosing the best location
Context needed:
• Foot traffic
• Street information
• Property features
• Multi-dwelling units
9. Uninformed decision-making
9
Mortgage
• Underwriting a loan that ends up defaulting
• Lost time and money
Home search portal
• Failure to capture home buyer and seller leads
• Losing the business to competition
Retail site selection
• Building or renting in the wrong area
• Lack of revenue and growth
10. How to address these issues
10
• Build the main data lake that acts as a central repository for
all address data
• Find a data partner to help cleanse, standardize,
and connect in-house property data with third-party data
• Utilize meta-data to provide additional context and insight
• Power websites, reports, mobile applications with the data
through APIs
• Analyze connected data using ML and AI processing to solve
business challenges
11. Outcomes
• Reduced operational costs and
accelerated time to value
• Optimized business decisions that
increase revenue, lower costs, and
reduce risk
• Increased customer satisfaction,
reduced churn, greater loyalty, and
future opportunity
11
13. Unique identifier
360° Property Insights
• Business name
• SIC codes
• Trade division
• Brand hierarchy
:
• Square footage
• Elevation
• High
• Low
• Building type
• Name
• ID
• Boundary
• Neighborhoods
• Postal
• County
• Congressional districts
• MCD
• Drive – Time & Distances
• Walk – Time & Distances
• Shopping Centers
• Hospitals
• School Boundaries
• Homeowner
• Last Sale Date/Amount
• Year built
• Number of stories
• Vacancy
• Elevation
• Complete and standardized address
• Property type
• Primary or secondary address
• Estimates and projections
• Population
• Household
• Socio-economic
• Consumer vitality
13
14. Largest real
estate broker
Problem Solution
• Lots of messy data and the lack
of third-party enrichment data
• Partnered with Precisely to
cleanse, connect, and enrich
data
Results
• Pristine data lake that powers the
website, mobile apps, and
generates opportunities by bringing
in home buyer and home seller
leads
14
No geospatial tools needed, quickly access new data
Risk of wrong placement for new site – foot traffic, competition, crime - investing in risky mortgage loan
Quick
•Data integration and processes automation across transactional systems and organizational silos •National and global coverage of datasets
Flexible usage restrictions and data display
Options for real-time, batch or bulk file data delivery
Continuous delivery of dynamic data for analytics
Data quality solutions that improve, correct, and allow data to be understood
Data enrichment with trusted attributes and third-party sources to articulate the deeper context•Spatial analytics that uncover new context in data
Ability to understand the business context of an organization’s data and how teams use it•Context around physical locations to support your business expansion•Rapid identification and resolution of the root cause of data issues