Data powers all analytics today—driving industry workflows from customer and market intelligence to property underwriting, risk management, and resource allocation. Internal structured data alone is not sufficient—it is imperative to enrich your data. Data enrichment helps leaders make intelligent decisions with contextual information to help extract deeper business insights. Most importantly, data enrichment can help better utilize existing tools and resources to gain competitive advantages through confident decision-making. Understanding your data in the context of location opens the door to more intelligent business decisions. Organizations can gain powerful new insights from curated data sets, adding value by linking business data records to real-life locations. Join this TDWI Webinar for presentations and a roundtable discussion about how to realize the value of incorporating data enrichment into current business processes for better-informed, data-driven decisions. Join this on-demand webinar to learn: - Data enrichment practices for driving better decisions in telco, property technology (proptech), and insurance - Leveraging trusted attributes to inform machine learning and other analytics models - How to easily incorporate accurate, complete, and current data into business processes

1. WEBINAR
Accelerate Confident
Decision-Making with Data
Enrichment

2. Sponsor
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3. DAVID STODDER
Senior Research Director
Business Intelligence
TDWI
dstodder@tdwi.org
@dbstodder

4. WEBINAR
Accelerating Confident Decision-
Making with Data Enrichment:
TDWI Trends and Directions

5. Analytics: Powering Confident Decisions
• Data-rich analytics: Critical to moving beyond descriptive reporting
and dashboards to answering “why,” “what will happen,” and “how to
achieve the best outcome” questions
– Toward prescriptive analytics and recommendations
Image credit: Mindtree
• Key areas of focus today:
– Operations: Process optimization;
monitoring trends to be proactive
– Risk awareness: Improving
detection, protection, and recovery
– Agility: flexibility and resilience
– Innovation: Developing products,
services; competitive advantages

6. Improving Insights into Data Relationships
• Analytics: Drawing attention to understanding
of data relationships across diverse data
– Confident decision-making depends on
complete, quality views of data relationships
• For customer 360, supply chains, manufacturing,
retail, property, and other business decisions
– 34% in TDWI research say that making it easier
to discover data relationships is a key part of
their current data strategy; 42% for the future
– 21% are currently satisfied with their ability to
visualize and analyze data relationships; 50%
seek some improvement; 23% major upgrade
Research source: 2021 TDWI Best Practices Report

7. Data Enrichment: Key to Informed Decisions
• Data enrichment: Combining internal data with
related interesting data from other internal
sources or third-party curated data
– E.g., contextual information such as addresses,
demographics, public records, customer trends
• Enriching raw data: Critical to gaining value
from high volumes being collected in cloud data
lakes (43% in TDWI research have one)
• Analytics: Enrichment to shorten the path to
value and user productivity
– 35% in TDWI research spend at least 60% of their
time on data preparation, which includes manual
enrichment. Less time for delivering value
Image credit: Shutterstock

8. Enriching Data for Location Intelligence
• Location intelligence is an important data
enrichment: Increases understanding of all data
– Complex relationships between people, things,
addresses, property characteristics, points of interest
– Property, to be discussed in our roundtable
• Requires accurate geocoding: Standardized,
cleansed, and validated addresses to develop
location coordinates
– Basis for analyzing data and guiding further enrichment
– Examining data relationships for understanding
attribution (what affects what) regarding customer
behavior, property issues, etc.
– Value of curated data sets for enrichment

9. Location Intelligence for Confident Decisions
• Location provides data relationship insights:
Adding value by linking business data records to
locations
– Using geocoding to understand connections
between places and what exists or occurs there
– Goal of making it easier to answer business
questions through location data relationships
• Customer journeys, healthcare, supply chains
• In digital transformation to improve processes
• Beyond BI limits: Traditional BI focused on
temporal data with occasional maps
– LI is location-first and aimed at powerful analytics
about why something is happening in a location
Image credit: Getty

10. Data Enrichment’s Value for Decisions
• Customer intelligence: Enrichment to increase
value of raw data from transactions, online behavior,
site traffic, and interactions via multiple channels
– Using location data and/or third-party demographics
and marketing data to deepen understanding of
campaign effectiveness
– Data enrichment for customer 360 for more
meaningful engagement and higher loyalty
– More intelligent and effective daily decisions and
overall strategies for resources, property, and more
• Enabling data collaboration with partners:
Potential for more complete views through shared
data enrichment

11. In Conclusion: Accelerating Confidence
• Analytics driving trend toward inclusion of
more data sources: Data integration is becoming
faster and easier, including through APIs
– Enrichment technologies and practices can bring
added value to raw data and increase confidence in
operational and strategic decisions
• Geocoding and location intelligence: Data
enrichment to, or through geocoding offers
important ways to complete the data picture
• Apply to pilot projects for business advantage
– Customer intelligence is often first, but supply chain,
property management, resource management, and
fraud and abuse detection are also candidates
Image credit: AdobeStock

12. Poll Question
• What is your biggest challenge in trying to accelerate
confident decision-making?
– Users do not have a complete view of data about subjects of interest
(e.g., customers, resources, locations)
– Users spend too much time on preparing and enriching data, leaving
too little time for building value through analytics
– Users need more trusted, curated data to enrich raw data and other
internal sources
– We need stronger management support for modernizing tools and
practices
– Other (use the Q&A format to write in answer)
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13. Thank You
David Stodder
Senior Director of Research for Business Intelligence
TDWI (www.tdwi.org)
dstodder@tdwi.org
@dbstodder

14. DYLAN CONRAD
Data Product Manager
Precisely
Team Lead – PropTech
Precisely
WALTER BAUM

15. State of the business: PropTech
Mortgage
Underwriting a mortgage
Context needed:
• Property attributes
• Tax history
• Parcel lot boundaries
• Building boundaries
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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

16. Negative consequences
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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

17. How to address these issues
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• 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

18. PropTech
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The largest real estate brokerage
Problem:
• Lots of messy data and the lack of third-party enrichment data
Solution:
• Partnered with Precisely to cleanse, connect, and enrich data
Outcome:
• Pristine data lake that powers the website, mobile apps, and
generates opportunities by bringing in home buyer and home seller
leads

19. Insurance
19
Top 50 P&C insurance providers
Problem:
• Insurance companies require data to understand factors that affect an
insured property, but the data they rely on is often stale and inaccurate,
which makes it difficult to incorporate into business processes
Solution:
• Accurate location intelligence combined with interoperable property and
risk data
Outcome:
• Companies can confidently quote and underwrite new policies through
efficient processes
• Real time data allows improved claims handling through proactive
analysis and response

20. Telecommunications
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5G wireless providers and broadband fibre installers
Problem:
• Understanding where people, live, work and recreate is more difficult
than ever before and traditional data sources are no longer sufficient for
telecommunication companies to plan the networks of the future
Solution:
• A complete list of serviceable addresses, combined with detailed
property features, business information, and demographic data
Outcome:
• Wireless service providers can accurately analyze and predict the 5G
coverage requirements to support strategic network expansion
• Broadband fibre installers can efficiently create system designs,
including building connectivity, while minimizing the requirement for field
surveys

21. Property Graph
What is it?
• Property Graph is the newest addition to its
Precisely Addresses product family that makes it
more efficient to see the relationships between
data about buildings, parcels, property attributes,
addresses, and points of interest
• With Property Graph, a connected and current
view of properties can be readily accessed and
directly integrated with business processes
• Property Graph uses the persistent, unique
identifiers that are included in each Precisely data
product to join datasets for efficient enrichment
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22. Data enrichment can help
Expand the potential of your data with powerful
data enrichment
• Streamline the process of adding location and
context to data
• Uncover consumer behavior in a way that opens
new opportunities and drives business growth
Support unique vertical use cases:
• Achieve a 360-degree view of real estate property
with property data
• Add richness and location context to existing
information to improve underwriting accuracy and
accurately assess risks
• Enrich customer data records with parcel
boundaries and buildings data to offer coverage
mapping for real-time mobile networks
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23. Roundtable Discussion
• What is most important today for organizations to accelerate
confident decision-making? Where should organizations focus?
• What are some of the main barriers to integrating enrichment
data into business processes?
Walter Baum
Team Lead, PropTech
Precisely
Dylan Conrad
Data Product Manager
Precisely
David Stodder
Sr. Director of Research, BI
TDWI

24. Roundtable Discussion
• Regarding enrichment data, how is the data delivered?
• What level of expertise is required to deploy this data?
• How can I evaluate the quality and accuracy of enrichment data
before I make a purchase?
Walter Baum
Team Lead, PropTech
Precisely
Dylan Conrad
Data Product Manager
Precisely
David Stodder
Sr. Director of Research, BI
TDWI

25. Roundtable Discussion
• How is your data sourced? How do you keep it up to date?
• What are the standard datasets that most of your clients license
in PropTech? What about in Telco and Insurance?
• In what ways can your geocoding solution be deployed?
Walter Baum
Team Lead, PropTech
Precisely
Dylan Conrad
Data Product Manager
Precisely
David Stodder
Sr. Director of Research, BI
TDWI

26. Audience Q&A with Speakers
tdwi.org
Questions?

27. CONTACT INFORMATION
If you have further questions or comments:
David Stodder, TDWI
dstodder@tdwi.org
Walter Baum, Precisely
Walter.Baum@precisely.com
tdwi.org
Dylan Conrad, Precisely
Dylan.Conrad@precisely.com

28. Thank You to Our Webinar Sponsor
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