In this webinar in partnership with Safegraph, you learn how to use spatial analysis and leading POI data to drive superior market analysis workflows. Watch the recorded webinar at: https://go.carto.com/webinars/safegraph-market-analysis-recorded

1. Market Analysis through
Consumer Behavior Pattern
Insights
Follow @CARTO or @SafeGraph on
Twitter!

2. CARTO — Turn Location Data into Business Outcomes
Introductions
Ryan Fox Squire
Product Data Scientist at
SafeGraph
Andy Eschbacher
Senior Data Scientist at
CARTO

3. CARTO — Turn Location Data into Business Outcomes
CARTO turns
location data
into business
outcomes

4. CARTO — Turn Location Data into Business Outcomes
CARTO turns location data into
business outcomes in 5 key steps:
Data Ingestion
&
Management
Data
Enrichment
Analysis Solutions &
Visualization
Integration

5. CARTO — Turn Location Data into Business Outcomes
1. Data Ingestion & Management
● Spatial database with multiple ways to connect
and manipulate your data
● Dynamic data in the cloud
● Fully managed database with automatic
backups and regular upgrades
● Enterprise data sharing and access across
CARTO
Wide support for geospatial formats (inc. Shapefiles, KML, KMZ, GeoJSON,
GPX, OSM, GeoPackage, GDB, CSV, Excel or OpenDocument).
Plug ready database connectors (ArcGIS Server, DB Connectors via APIs
(MySQL, PostgreSQL, Microsoft SQL Server, Hive on request)).
PostGIS by
CARTO
SQL
API
Python
SDK
Import
API
Connectors Copy
Data
Management
Auth
API
Sync

6. CARTO — Turn Location Data into Business Outcomes
2. Data Enrichment
● Save time in gathering spatial data, augmenting
your existing data with demographics from
across the globe
● Create locations from addresses and
understand travel time all from within CARTO
● Develop robust ETL processes and update
mechanisms so your data is always enriched
● Premium data to understand and analyze
deeper trends and behavior
Data
Observatory
ETL
Processing
CARTO
Grid
Data Services
API
Routing &
Traffic
Geocoding

7. CARTO — Turn Location Data into Business Outcomes
3. Analysis
● Bring maps and data into your Data Science
workflows and the Python data science
ecosystem with CARTOframes
● Machine learning embedded in CARTO as
simple SQL calls for clustering, outliers analysis,
time series predictions, and geospatial
weighted regression
● Use the power of PostGIS and our APIs to
productionalize analysis workflows in your
CARTO platform
CARTO Frames Analysis
API
SQL
API
Python
SDK

8. CARTO — Turn Location Data into Business Outcomes
4. Solutions & Visualization
● Develop and build custom applications with a
full suite of frontend libraries, using Airship and
CARTO VL.
● Work with CARTO’s Professional Services and
Support team as and when you need it.
● Create lightweight, intuitive dashboards for
simple sharing of insights across your
organization.
Builder Engine Dashboard
CARTO.js Airship CARTO VL
Traffico SalesQuest Reveal

9. CARTO — Turn Location Data into Business Outcomes
5. Integration
● Using CARTO’s APIs and SDKs, connect your
analysis into the places that matter most for
you and your team.
● Work with our Professional Services team for
custom configurations or developments.

10. SafeGraph is just a data company
That’s it – that's all we do.

11. Our Mission: power innovation through open access to geospatial data.
● We believe data should be an open platform, not a trade secret. Data
today is controlled by a select few big companies– our goal is to
reverse this trend.
SafeGraph is just a data company
That’s it – that's all we do.

12. Our Mission: power innovation through open access to geospatial data.
● We believe data should be an open platform, not a trade secret. Data
today is controlled by a select few big companies– our goal is to
reverse this trend.
Our Team: deeply technical machine learning team based in San Francisco
● Founded 2016
● CEO previously CEO of LiveRamp (NYSE:RAMP)
● Raised $20M Series A
SafeGraph is just a data company
That’s it – that's all we do.

13. Industry-Leading location intelligence runs on SafeGraph

14. SafeGraph Products:
Just Data. The Source of Truth For Physical Places

15. SafeGraph Products:
Just Data. The Source of Truth For Physical Places
Core Places
Base information about a
point of interest (POI) such
as location name, address
and open hours. Brand
association for top ~5,000
national brands.
Available for ~6MM POI.

16. SafeGraph Products:
Just Data. The Source of Truth For Physical Places
Geometry
Building footprint polygons
and spatial hierarchy metadata
defining whether the polygon
is contained within another
(e.g. store in strip mall).
Available for ~6MM POI.
Core Places
Base information about a
point of interest (POI) such
as location name, address
and open hours. Brand
association for top ~5,000
national brands.
Available for ~6MM POI.

17. Patterns
Place foot-traffic and demographic
aggregations that answer: how
often people visit, where they came
from, where else they go, and
more.
Available for ~3.6MM POI.
SafeGraph Products:
Just Data. The Source of Truth For Physical Places
Geometry
Building footprint polygons
and spatial hierarchy metadata
defining whether the polygon
is contained within another
(e.g. store in strip mall).
Available for ~6MM POI.
Core Places
Base information about a
point of interest (POI) such
as location name, address
and open hours. Brand
association for top ~5,000
national brands.
Available for ~6MM POI.

18. CARTO — Turn Location Data into Business Outcomes
CARTO & SafeGraph Partnership
● CARTO customers can use SafeGraph data to analyze, visualize, and
connect the data with their business problems.
● Making SafeGraph data available inside CARTO’s Data Observatory via
Location Data Streams makes it super easy to leverage SafeGraph data
with the power of CARTO analytics. Look for Patterns under Human
Mobility.
● Many mutual customers of SafeGraph and CARTO

19. CARTO — Turn Location Data into Business Outcomes
Jefferies Financial Group uses
alternative data, including geospatial
data from SafeGraph, to beat the
market and make predictions about
publicly traded companies ahead of
quarterly earnings reports.
Example Use Case:
Jefferies

20. CARTO — Turn Location Data into Business Outcomes
Jefferies uses CARTO for
spatial analytics and visualization.
Jefferies Franchise Note, July 2017
Example Use Case:
Jefferies

21. CARTO — Turn Location Data into Business Outcomes
Patterns
Available for
~3.6MM
Points-Of-Interest
What is SafeGraph
Patterns data?
Accurate and aggregated foot-traffic data from a panel
of 46 MM anonymized devices visiting > 3.6 MM
points-of-interest in the USA.

22. CARTO — Turn Location Data into Business Outcomes
Patterns
Available for
~3.6MM
Points-Of-Interest
Accurate and aggregated foot-traffic data from a panel
of 46 MM anonymized devices visiting > 3.6 MM
points-of-interest in the USA.
SafeGraph Patterns answers the following questions
and more:
● How many visits from our panel did this place
receive?
What is SafeGraph
Patterns data?

23. CARTO — Turn Location Data into Business Outcomes
Patterns
Available for
~3.6MM
Points-Of-Interest
Accurate and aggregated foot-traffic data from a panel
of 46 MM anonymized devices visiting > 3.6 MM
points-of-interest in the USA.
SafeGraph Patterns answers the following questions
and more:
● How many visits from our panel did this place
receive?
● How many unique visitors from our panel went
to this place?
What is SafeGraph
Patterns data?

24. CARTO — Turn Location Data into Business Outcomes
Patterns
Available for
~3.6MM
Points-Of-Interest
Accurate and aggregated foot-traffic data from a panel
of 46 MM anonymized devices visiting > 3.6 MM
points-of-interest in the USA.
SafeGraph Patterns answers the following questions
and more:
● How many visits from our panel did this place
receive?
● How many unique visitors from our panel went
to this place?
● Where do these visitors live and work?
What is SafeGraph
Patterns data?

25. CARTO — Turn Location Data into Business Outcomes
Patterns
Available for
~3.6MM
Points-Of-Interest
Accurate and aggregated foot-traffic data from a panel
of 46 MM anonymized devices visiting > 3.6 MM
points-of-interest in the USA.
SafeGraph Patterns answers the following questions
and more:
● How many visits from our panel did this place
receive?
● How many unique visitors from our panel went
to this place?
● Where do these visitors live and work?
● Which other brands did these visitors go to in
the same day or month?
What is SafeGraph
Patterns data?

26. CARTO — Turn Location Data into Business Outcomes
Patterns
Available for
~3.6MM
Points-Of-Interest
Accurate and aggregated foot-traffic data from a panel
of 46 MM anonymized devices visiting > 3.6 MM
points-of-interest in the USA.
SafeGraph Patterns answers the following questions
and more:
● How many visits from our panel did this place
receive?
● How many unique visitors from our panel went
to this place?
● Where do these visitors live and work?
● Which other brands did these visitors go to in
the same day or month?
● What times of day do people visit this place?
What is SafeGraph
Patterns data?

27. CARTO — Turn Location Data into Business Outcomes
Patterns
Available for
~3.6MM
Points-Of-Interest
Accurate and aggregated foot-traffic data from a panel
of 46 MM anonymized devices visiting > 3.6 MM
points-of-interest in the USA.
SafeGraph Patterns answers the following questions
and more:
● How many visits from our panel did this place
receive?
● How many unique visitors from our panel went
to this place?
● Where do these visitors live and work?
● Which other brands did these visitors go to in
the same day or month?
● What times of day do people visit this place?
● How far do visitors travel and how long do they
stay?
What is SafeGraph
Patterns data?

28. CARTO — Turn Location Data into Business Outcomes
SafeGraph Patterns Dataset
Explore Enrich Analyze Share
Clean, geocode and
visualize your data
straight out of Jupyter
notebooks.
Access a wide range
of datasets—all on
standardized spatial
aggregations to
reduce your time to
insight.
Get insights from
your data using our
API and your own
libraries, functions,
and workflows.
Once your analysis
is done, add widgets
and share your
results.

29. CARTO — Turn Location Data into Business Outcomes
➔ How do different types of
POIs compare in
consumer behavior?
➔ Uncover estimates of
demographics of visitors
Demo: Time-of-day visit patterns
For more information, see our blog post:
https://carto.com/blog/visit-pattern-footfall-data-safegraph/

30. CARTO — Turn Location Data into Business Outcomes
➔ Each POI is tagged with
home and work Census
Block Groups of visitors
➔ Uncover estimates of
demographics of visitors
Demo: Home or Work locations
See the ebook Becoming a Spatial Data Scientist for more
information: https://go.carto.com/ebooks/spatial-data-science

31. Thanks for listening!
Any questions?
Request a demo at CARTO.com
Andy Eschbacher
Senior Data Scientist // andy@carto.com
Ryan Fox Squire
Product Data Scientist // ryan@safegraph.com