Location intelligence can add critical context to your data science projects and lead to better business decisions. Organizations in numerous industries including retail, real estate, insurance, construction, telecommunications, and government can reduce risks and speed responses to situations with superior location intelligence. Unfortunately, many organizations are unable to leverage precise, location-aware information because data is too hard to access, process, and interpret. As organizations expand globally and confront complex addresses and related data, they struggle even more. Join this TDWI webinar to learn how you can simplify and accelerate location-aware data science processes. Speakers will discuss how trends such as cloud-native technologies and use of prebuilt location data sets can power data science and give decision makers important perspectives on risk, property decisions, situation response, and more. Topics to be covered include: TDWI perspectives on location intelligence and address-based spatial data science The value of big data and cloud-native technologies for adding valuable context to business addresses How to use high-precision location data to estimate risk Guidance for leveraging location to extract actionable insights in data science projects and sharing results visually throughout your organization

1. Enabling Spatial
Data Science
Precisely Perspective
Tim McKenzie | Director, Solution Architecture

2. Location data challenges
• Location is Messy- Addresses, Lat/Long,
Shapes, Lines, Formats
• Complexity of Joining Location Based Data
Sources (3rd Party and Internal)
• Data Sourcing Challenges- Many Providers,
Many Formats, Many Pricing and Licensing
Differences
• Global Extensibility- Data Sources Tend to
Be Regional Yet Use Cases are Often
Global
• Need to Identify and Process Multi-Family
and Condo Properties
• De-centralized repositories of data
• Complex properties can often have multiple
valid addresses, parcels and buildings.
• Legal descriptions in variety of format
leading to discrepancy, inefficiencies, errors
and non-compliance
2
“For every minute spent in
organizing, an hour is earned.”
Benjamin Franklin
Inventor, Statesman, Insurer
Enabling Spatial Data Science

3. Data prep slows data science
3%
19%
9%
4%
5%
What data
scientists spend
the most time
doing
Building data sets
Cleaning and organizing data
Collecting datasets
Mining data for patterns
Refining algorithms
Other
accounts for about 80%
of the work of data
scientists
3 Enabling Spatial Data Science

4. Location enabling strategies for data analytics
03.
Analyze
Apply data science at
scale to gain a
competitive advantage
02.
Enrich
Leverage trusted ID to
join massive amounts of
your own and 3rd party
data sources
01.
Organize
Assign a trusted ID that is
unique and persistent to
each address
4 Enabling Spatial Data Science

5. Fast, easy, and consistent data enrichment
5
Precisely’s Geo Addressing with hyper-accurate Master Location Data (MLD) reference data
• Belgium & Luxembourg
• Canada
• Finland
• France
• Germany
• Great Britain
• Ireland
• Netherlands
• Sweden
• Singapore
• United States
• More coming soon!
International
Coverage
Data
Sources
• Postal Authorities
• Government
datasets: local city,
county, and state
• Global Vendors
• Local Players
• Open Sources
• Proprietary
Sources
• Largest & Best available
• Unparalleled &
• Parent-child relationship,
• Unique and Persistent Identifier,
• Multi-sourced,
• Simplify data enrichment process,
MLD Attributes
Enabling Spatial Data Science

6. Cloud-based location analytics technology
6
Spatial
Functions
30+ Common
Spatial Processes
Global
Geocoding
Forward & Reverse
Global Geocoding
and Trusted ID
Global
Addressing
Validate,
standardize and
parse global
addresses
Global Tax
Jurisdiction
How do extreme
weather events
affect the
“creditworthiness”
of my portfolio?
Map
Visualization
What alternative
data helps me
better understand
investment
opportunities?
Global Street
Routing
Where are my
customers and
how do they want
to interact with
me?

7. Data Enrichment – A global product portfolio
Addresses & Property
Verified and validated address and
property data for map display and
analytics
Boundaries
Administrative, community, and
industry-specific boundaries for data
enrichment and territory analysis
Demographics
Demographic and consumer context
data for better understanding people
and behavior
Points of Interest
Detailed business, leisure, and
geographic features for location
and competitive intelligence
Streets
Robust street-level data for mapping,
analysis, routing, and geocoding
Risk
Natural hazard boundaries related to
flood, fire, earthquakes, and weather
Expertly curated datasets containing thousands of attributes for faster, confident decisions
7 Enabling Spatial Data Science

8. Uniquely positioned to address data enrichment needs
Global coverage location enrichment data. Our portfolio includes:
• 400+ datasets
• 250+ countries and territories
• 100s of millions of data points
Datasets that are interoperable and are managed to quality standard, with consistent documentation, and
support e.g.
• Property Graph
• Market and Community Link
Ability to enrich with dynamic data (Dynamic Weather and Dynamic Demographics)
• Data that includes time as a dimension
• Creating insights from data that is updated at regular and short time intervals (e.g. 5 min)
Data experience through deep-domain expertise
• Adding data through, development, partnerships, and acquisitions
Best-in-class addressing and property datasets with a unique and persistent ID
• Link Precisely and customer address, buildings, demographics, risk, and more data using the PreciselyID,
a unique and persistent location identifier
8 Enabling Spatial Data Science

9. Location-enabled analytics
Bank Branch & ATM
Call Center/ Web
Customers by Product
Commercial & Mortgage
Active Mortgages
Historical Defaults
Geocoding and location
intelligence capabilities to
organize and enrich your data
Financial Transactions
All of your sources
Any structure
or frequency
Analytics capabilities for
any use case or persona
Ad Hoc Data Science
Low-cost, rapid experimentation with
new data and models.
Explainable Machine Learning
High volume, fine-grained analysis at scale
served in the tightest of service windows.
BI Reporting & Dashboarding
Power real-time dashboarding directly,
or feed data to a data warehouse for
high-concurrency reporting.
Real-time Applications
Provide real-time data to downstream
applications or power applications via APIs..
PreciselyID
ADMIN
BOUNDARIES
BANK DEPOSITS
MOBILE
MOVEMENT
WEATHER
EVENTS
HAZARD &
RISK DATA
AMENITIES &
COMPETITION
EVERY US/CAN
ADDRESS
BUSINESS
LOCATIONS
PROPERTY
ATTRIBUTES
SCHOOLS &
NEIGHBORHOODS
POPULATION
DEMOGRAPHICS
PARCELS &
BUILDINGS
Analytics Platform

10. Thank you
Tim McKenzie
Tim.McKenzie@Precisely.com
Phone- 678-428-1770