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Simplifying Data
Interoperability with Geo
Addressing and Enrichment
Markum Reed, Ph.D.
SPONSOR
2
MARKUM REED
Research Director for
Data Management
TDWI
Introduction
• Geospatial data is central to scientific domains and ubiquitous in
governments and businesses
• Opportunities for collaboration using geospatial data are
constrained by the need for privacy and confidentiality
What is geospatial data?
• Geospatial data
– describe objects, events, or other features with a location
– combines location information and attribute information
– involves large sets of spatial data gleaned from a diverse sources in a
variety of formats
– is most useful when it can be discovered, shared, analyzed, and used in
combination with traditional business data.
Types of geospatial data
• Geospatial data is information recorded in conjunction with a
geographic indicator
• Two primary forms of geospatial data:
1. Vector
2. Raster
Examples of geospatial data
• Vectors and attributes
• Point clouds
• Raster and satellite imagery
• Census data
• Cell phone data
• Drawn images
• Social media data
Challenges of geospatial data
• Volume of geospatial data
• Stored across many different files
• Stored in different formats
• Calibrated by different standards
• Requires specialized knowledge
Geospatial data collection and management
• Enterprise geospatial data is large
• Organizations use services to obtain curated geospatial data
• Organizations should maintain data quality
• Poor data results in models of limited use
Benefits of using geospatial data
• Advance warnings: Gives a heads-up regarding incoming
changes
• Deeper understanding: Provides evidence of why/how analytics
solutions work
• Heightened efficiency: Use numerical precision to improve
efficiency of operations
Geospatial data: Structure and Function
• Structured Data: identity, location, shape and orientation
• Business assets: roads, buildings, property lines, infrastructure
• Unstructured Data: raster imagery can be tagged and geocoded
Geospatial Data Issues
• Challenges to Using and Sharing Confidential Geospatial Data
• Practical Solutions for working with Confidential Geospatial Data
Managing Geospatial Data
• Managing geospatial data and metadata is different
• Raw geospatial data is generally meaningless to the human eye
Add metadata to make managing your data easier
• Once you know the most common ways geospatial data is used
within your organization, start adding the metadata
• Classify them based on traits:
– Which departments use them
– Which format
– Which geographical areas they cover
– How often they’re updated
Treat geospatial data as an organization-wide asset
• Geospatial data has use in many of your organization’s
operations
• Have geospatial data technical guidance
• Every department should understand the importance of
geospatial data
Track, review and revise how geospatial data is serving your
organization
• Develop a set of performance indicators
• Review regularly to ensure geospatial data is driving progress
• Adjust your geospatial data strategy as needed
Sources of Geospatial Data
• Geospatial data can come from many sources
• Sources can have different projections and reference points
• Ease to gather in-field data
• Field devices gather positional information about assets
In-Field Gathering
Geospatial Databases
• In geospatial databases, objects are grouped into classes, and
their data would be stored in separate tables
• Data about a street system is usually stored in a separate
database from data about the same area
• These datasets need to be placed into a single representation
Metadata
• Metadata sits in an adjacent dataset
• Community has created standards for its metadata
• Standards include structured fields and unstructured metadata
– Federal Geographic Data Committee (FGDC)
– Content Standard for Digital Geospatial Metadata (CSDGM)
– ISO 19115 standard
Advantages of Digital Map Data
• Raw data can be reused in various maps
• Better ROI in the data asset
• Wide variety of analyses
Data Sharing
• Unlike most industries there is a culture of data sharing
geospatial data
• Many government agencies freely provide their datasets for a
variety of uses
• Finding the datasets or services you want is sometimes tricky
Industry Standards
• Geospatial data faces the same data management challenges as
traditional structured (or tabular) data
• Needs appropriate versioning of data and archiving
• Organizations often integrate data from multiple sources, some
have unknown reliability
• Metadata of original and derivative datasets must reflect all these
issues
Conclusion
• Geospatial data can be complex
• Raw geospatial data is useless converted to rich, graphic
expression, but this is impossible without precise metadata
• Business analytical possibilities endless
ANDY BELL
VP Global Data
Product Management
Precisely
Simplifying Data
Interoperability with
Geo Addressing and
Enrichment
Andy Bell | VP Product Management, Enrich
The elements of data integrity
Modernize your
infrastructure for the
cloud, eliminate data
siloes, and automate
business processes
Build data governance
and quality into your
data-centric processes
to ensure accuracy
and consistency
Leverage the location
information inherent in
your data for more
sophisticated analytics
and actionable insights
Complement your core
business data with
expertly curated datasets
to add critical context and
increase value
Create seamless,
personalized
and omnichannel
communications on
any medium, anytime
Integrat
e
Verify Locate Enrich Engage
26 Simplifying data interoperability with geo addressing and enrichment
Location
intelligence &
data enrichment
provide context –
an essential
element of data
integrity
27 Simplifying data interoperability with geo addressing and enrichment
Context supports better, faster
decision-making
Better risk
assessment
Pre-scoring of addresses for
underwriting for insurance and
financial services
Single view of customer across
the organization
Improved
customer
engagement Accuracy in location and
identity
Better decision
making
28
28 Simplifying data interoperability with geo addressing and enrichment
Track record of success solving real-world
challenges
in a complex, digital economy
29
• Underwriting
• Risk Accumulation
• Catastrophe Modelling
• Claims Processing
• Fraud analysis
• Customer Insights
• Network and coverage
planning
• Opportunity analysis
• Location-based
marketing & advertising
• Asset management
INSURANCE TELECOMMUNICATIONS
• Citizen communications
• Service optimization
• Election operations
• Census operations
• Emergency response
and management
• Home search
• Data cleaning
• Data preparation
• Automated valuations
• Geotargeting
• Audience profile creation
• Mobile marketing &
advertising
• Geofence campaigns
GOVERNMENT REAL ESTATE AD TECH
• Retail location analysis
• Location-based
marketing & advertising
• Store finder
• Service area analysis
RETAIL
• Address data capture
• Customer insight
• Reduce abandonments
• Logistics and delivery
• Location-based
marketing & advertising
ECOMMERCE
• Mortgage processing
• Customer Insight
• Master Data Management
• Financial crimes
and compliance
• Branch location analytics
FINANCIAL SERVICES
Simplifying data interoperability with geo addressing and enrichment
Providing context to
business data powers
faster, more confident
decisions
Simplifying data interoperability with geo addressing and enrichment
30
Enriching business data makes sense, but geospatial
data is complex
• Leverage addresses as a common factor to bring
data together
• Verify, standardize, and manage the address
• Enrich addresses with more attributes providing
context
31
Customer benefits:
• Data is easily consumed and
trusted for use in their business
• Resources can focus on
business processes rather than
on prepping data
• Consistent use of data across
business processes
Different mailing standards, for example:
• Common U.S. addresses can have 13 attributes
• 300+ address attributes to consider around the world
Different purposes require a unique approach
to standardization and verification
Working with
addresses is
hard!
Geocoding
Mailability Deliverability Serviceability
Simplifying data interoperability with geo addressing and enrichment
We address this through the
PreciselyID
• Data Enrichment
Unlock pre-processed reference data with a simple lookup, no
address matching or spatial calculations required.
• Data Management
Keep addresses up to date by storing the PreciselyID, then
performing a reverse lookup to obtain the latest address.
• Data Exchange
Pass PreciselyID to business partners, customers, and suppliers
rather than addresses.
• Analytics
Use multiple pre-process reference datasets to pre-score the entire
US, analyze trends, predict, and target new opportunities.
A unique identifier for every address – that doesn’t change
Simplifying data interoperability with geo addressing and enrichment
32
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
33
Expertly curated datasets containing thousands of attributes for faster, confident
decisions
Simplifying data interoperability with geo addressing and enrichment
Enrichment is customized to the
business problem
Purchases &
Shopping
Building &
Parcel
Boundaries
Lifestyles
Precisely
ID
School Rankings
Points of
Interest
Addresses Population
Property
Attributes
Weather
Natural &
Manmade Hazards
Travel Time
Administrative
Boundaries
Land & Property Consumer Environment
34 Simplifying data interoperability with geo addressing and enrichment
Uniquely positioned to address data
enrichment needs
35
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
Simplifying data interoperability with geo addressing and enrichment
Leveraging Location Data for
Residential Real Estate
Success
SUCCESS STORY
CHALLENGES
• Needed to develop and launch
advanced internet applications and
services rapidly
• Required extensive expansion of
location and property data beyond
in-house sources
• Data quality and currency were
paramount
“It was clear from the onset
that relying only upon in-
house generated, proprietary
data would severely limit what
could be delivered.”
Kit Edwards, Director of Data Analytics
Keller Williams
SOLUTION
• Integration of spatial analytics
capabilities with property and
demographic data
ABOUT THE COMPANY
• Keller Williams (KW) is a global
leader in residential real estate
• Technology-focused developer of
Internet-enabled real estate
solutions
• KW’s future depends upon access
to trusted, hyper-accurate location
data
BENEFIT
• New internet-native real estate
platform developed and deployed in
just months
• Agents and customers benefit from
extensive and accurate property
search and profiling
• Data quality and consistency across
data categories ensures accurate,
useful results that support agent
success and customer trust while
building brand reputation
36
CHALLENGE
Current model was underperforming and
created risk for expansion plans
Improving Site Selection Spatial
Analytics, Enrich data, &
Consulting Services
SUCCESS STORY
SOLUTIONS
• Spatial Analytics:
Spectrum Spatial Insights,
TrueView, LI APIs (Routing)
• Geo Addressing: LI APIs
(Geocoding)
• Enrich: Base Demographics,
CAMEO Segmentation, and
StreetPro Traffic
• Precisely consulting
services: Site selection
expertise and solution-specific
mobility data
Needed to reduce risk and
maximize the potential when
opening new stores
BUSINESS VALUE
• Reduced time for site selection
sign off process
• Single “Source of Truth” across a
wide stakeholder group with all
information in a single repository,
Spectrum Spatial Insights
• Avoid bad decisions and inform
better ones – each site costs
+$1m-$10m
Major UK Food
& Beverage
Retailer
37
Key takeaways
SUCCESS
Provide context and
visibility into
previously hidden
insights using
streamlined, scalable
data enrichment
solutions to solve
complex business
problems.
CHALLENGE
Operationally efficient
processes using
international addresses
are often challenging
to achieve. Precisely’s
domain expertise
ensures accuracy and
consistency.
PARTNER
Prepping and
integrating data takes
time and expertise. The
most demanding clients
rely on Precisely to
engineer, source, and
maintain address and
enrichment solutions.
38 Simplifying data interoperability with geo addressing and enrichment
Thank you
QUESTIONS?
tdwi.org
CONTACT INFORMATION
If you have further questions or comments:
Markum Reed, TDWI
mreed@tdwi.org
Andy Bell, Precisely
andy.bell@precisely.com
tdwi.org
Thanks to Our Sponsor
4

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Simplifying Data Interoperability with Geo Addressing and Enrichment

  • 1. Simplifying Data Interoperability with Geo Addressing and Enrichment Markum Reed, Ph.D.
  • 3. MARKUM REED Research Director for Data Management TDWI
  • 4. Introduction • Geospatial data is central to scientific domains and ubiquitous in governments and businesses • Opportunities for collaboration using geospatial data are constrained by the need for privacy and confidentiality
  • 5. What is geospatial data? • Geospatial data – describe objects, events, or other features with a location – combines location information and attribute information – involves large sets of spatial data gleaned from a diverse sources in a variety of formats – is most useful when it can be discovered, shared, analyzed, and used in combination with traditional business data.
  • 6. Types of geospatial data • Geospatial data is information recorded in conjunction with a geographic indicator • Two primary forms of geospatial data: 1. Vector 2. Raster
  • 7. Examples of geospatial data • Vectors and attributes • Point clouds • Raster and satellite imagery • Census data • Cell phone data • Drawn images • Social media data
  • 8. Challenges of geospatial data • Volume of geospatial data • Stored across many different files • Stored in different formats • Calibrated by different standards • Requires specialized knowledge
  • 9. Geospatial data collection and management • Enterprise geospatial data is large • Organizations use services to obtain curated geospatial data • Organizations should maintain data quality • Poor data results in models of limited use
  • 10. Benefits of using geospatial data • Advance warnings: Gives a heads-up regarding incoming changes • Deeper understanding: Provides evidence of why/how analytics solutions work • Heightened efficiency: Use numerical precision to improve efficiency of operations
  • 11. Geospatial data: Structure and Function • Structured Data: identity, location, shape and orientation • Business assets: roads, buildings, property lines, infrastructure • Unstructured Data: raster imagery can be tagged and geocoded
  • 12. Geospatial Data Issues • Challenges to Using and Sharing Confidential Geospatial Data • Practical Solutions for working with Confidential Geospatial Data
  • 13. Managing Geospatial Data • Managing geospatial data and metadata is different • Raw geospatial data is generally meaningless to the human eye
  • 14. Add metadata to make managing your data easier • Once you know the most common ways geospatial data is used within your organization, start adding the metadata • Classify them based on traits: – Which departments use them – Which format – Which geographical areas they cover – How often they’re updated
  • 15. Treat geospatial data as an organization-wide asset • Geospatial data has use in many of your organization’s operations • Have geospatial data technical guidance • Every department should understand the importance of geospatial data
  • 16. Track, review and revise how geospatial data is serving your organization • Develop a set of performance indicators • Review regularly to ensure geospatial data is driving progress • Adjust your geospatial data strategy as needed
  • 17. Sources of Geospatial Data • Geospatial data can come from many sources • Sources can have different projections and reference points • Ease to gather in-field data • Field devices gather positional information about assets In-Field Gathering
  • 18. Geospatial Databases • In geospatial databases, objects are grouped into classes, and their data would be stored in separate tables • Data about a street system is usually stored in a separate database from data about the same area • These datasets need to be placed into a single representation
  • 19. Metadata • Metadata sits in an adjacent dataset • Community has created standards for its metadata • Standards include structured fields and unstructured metadata – Federal Geographic Data Committee (FGDC) – Content Standard for Digital Geospatial Metadata (CSDGM) – ISO 19115 standard
  • 20. Advantages of Digital Map Data • Raw data can be reused in various maps • Better ROI in the data asset • Wide variety of analyses
  • 21. Data Sharing • Unlike most industries there is a culture of data sharing geospatial data • Many government agencies freely provide their datasets for a variety of uses • Finding the datasets or services you want is sometimes tricky
  • 22. Industry Standards • Geospatial data faces the same data management challenges as traditional structured (or tabular) data • Needs appropriate versioning of data and archiving • Organizations often integrate data from multiple sources, some have unknown reliability • Metadata of original and derivative datasets must reflect all these issues
  • 23. Conclusion • Geospatial data can be complex • Raw geospatial data is useless converted to rich, graphic expression, but this is impossible without precise metadata • Business analytical possibilities endless
  • 24. ANDY BELL VP Global Data Product Management Precisely
  • 25. Simplifying Data Interoperability with Geo Addressing and Enrichment Andy Bell | VP Product Management, Enrich
  • 26. The elements of data integrity Modernize your infrastructure for the cloud, eliminate data siloes, and automate business processes Build data governance and quality into your data-centric processes to ensure accuracy and consistency Leverage the location information inherent in your data for more sophisticated analytics and actionable insights Complement your core business data with expertly curated datasets to add critical context and increase value Create seamless, personalized and omnichannel communications on any medium, anytime Integrat e Verify Locate Enrich Engage 26 Simplifying data interoperability with geo addressing and enrichment
  • 27. Location intelligence & data enrichment provide context – an essential element of data integrity 27 Simplifying data interoperability with geo addressing and enrichment
  • 28. Context supports better, faster decision-making Better risk assessment Pre-scoring of addresses for underwriting for insurance and financial services Single view of customer across the organization Improved customer engagement Accuracy in location and identity Better decision making 28 28 Simplifying data interoperability with geo addressing and enrichment
  • 29. Track record of success solving real-world challenges in a complex, digital economy 29 • Underwriting • Risk Accumulation • Catastrophe Modelling • Claims Processing • Fraud analysis • Customer Insights • Network and coverage planning • Opportunity analysis • Location-based marketing & advertising • Asset management INSURANCE TELECOMMUNICATIONS • Citizen communications • Service optimization • Election operations • Census operations • Emergency response and management • Home search • Data cleaning • Data preparation • Automated valuations • Geotargeting • Audience profile creation • Mobile marketing & advertising • Geofence campaigns GOVERNMENT REAL ESTATE AD TECH • Retail location analysis • Location-based marketing & advertising • Store finder • Service area analysis RETAIL • Address data capture • Customer insight • Reduce abandonments • Logistics and delivery • Location-based marketing & advertising ECOMMERCE • Mortgage processing • Customer Insight • Master Data Management • Financial crimes and compliance • Branch location analytics FINANCIAL SERVICES Simplifying data interoperability with geo addressing and enrichment
  • 30. Providing context to business data powers faster, more confident decisions Simplifying data interoperability with geo addressing and enrichment 30 Enriching business data makes sense, but geospatial data is complex • Leverage addresses as a common factor to bring data together • Verify, standardize, and manage the address • Enrich addresses with more attributes providing context
  • 31. 31 Customer benefits: • Data is easily consumed and trusted for use in their business • Resources can focus on business processes rather than on prepping data • Consistent use of data across business processes Different mailing standards, for example: • Common U.S. addresses can have 13 attributes • 300+ address attributes to consider around the world Different purposes require a unique approach to standardization and verification Working with addresses is hard! Geocoding Mailability Deliverability Serviceability Simplifying data interoperability with geo addressing and enrichment
  • 32. We address this through the PreciselyID • Data Enrichment Unlock pre-processed reference data with a simple lookup, no address matching or spatial calculations required. • Data Management Keep addresses up to date by storing the PreciselyID, then performing a reverse lookup to obtain the latest address. • Data Exchange Pass PreciselyID to business partners, customers, and suppliers rather than addresses. • Analytics Use multiple pre-process reference datasets to pre-score the entire US, analyze trends, predict, and target new opportunities. A unique identifier for every address – that doesn’t change Simplifying data interoperability with geo addressing and enrichment 32
  • 33. 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 33 Expertly curated datasets containing thousands of attributes for faster, confident decisions Simplifying data interoperability with geo addressing and enrichment
  • 34. Enrichment is customized to the business problem Purchases & Shopping Building & Parcel Boundaries Lifestyles Precisely ID School Rankings Points of Interest Addresses Population Property Attributes Weather Natural & Manmade Hazards Travel Time Administrative Boundaries Land & Property Consumer Environment 34 Simplifying data interoperability with geo addressing and enrichment
  • 35. Uniquely positioned to address data enrichment needs 35 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 Simplifying data interoperability with geo addressing and enrichment
  • 36. Leveraging Location Data for Residential Real Estate Success SUCCESS STORY CHALLENGES • Needed to develop and launch advanced internet applications and services rapidly • Required extensive expansion of location and property data beyond in-house sources • Data quality and currency were paramount “It was clear from the onset that relying only upon in- house generated, proprietary data would severely limit what could be delivered.” Kit Edwards, Director of Data Analytics Keller Williams SOLUTION • Integration of spatial analytics capabilities with property and demographic data ABOUT THE COMPANY • Keller Williams (KW) is a global leader in residential real estate • Technology-focused developer of Internet-enabled real estate solutions • KW’s future depends upon access to trusted, hyper-accurate location data BENEFIT • New internet-native real estate platform developed and deployed in just months • Agents and customers benefit from extensive and accurate property search and profiling • Data quality and consistency across data categories ensures accurate, useful results that support agent success and customer trust while building brand reputation 36
  • 37. CHALLENGE Current model was underperforming and created risk for expansion plans Improving Site Selection Spatial Analytics, Enrich data, & Consulting Services SUCCESS STORY SOLUTIONS • Spatial Analytics: Spectrum Spatial Insights, TrueView, LI APIs (Routing) • Geo Addressing: LI APIs (Geocoding) • Enrich: Base Demographics, CAMEO Segmentation, and StreetPro Traffic • Precisely consulting services: Site selection expertise and solution-specific mobility data Needed to reduce risk and maximize the potential when opening new stores BUSINESS VALUE • Reduced time for site selection sign off process • Single “Source of Truth” across a wide stakeholder group with all information in a single repository, Spectrum Spatial Insights • Avoid bad decisions and inform better ones – each site costs +$1m-$10m Major UK Food & Beverage Retailer 37
  • 38. Key takeaways SUCCESS Provide context and visibility into previously hidden insights using streamlined, scalable data enrichment solutions to solve complex business problems. CHALLENGE Operationally efficient processes using international addresses are often challenging to achieve. Precisely’s domain expertise ensures accuracy and consistency. PARTNER Prepping and integrating data takes time and expertise. The most demanding clients rely on Precisely to engineer, source, and maintain address and enrichment solutions. 38 Simplifying data interoperability with geo addressing and enrichment
  • 41. CONTACT INFORMATION If you have further questions or comments: Markum Reed, TDWI mreed@tdwi.org Andy Bell, Precisely andy.bell@precisely.com tdwi.org
  • 42. Thanks to Our Sponsor 4