In this webinar you learn the role of spatial data and analysis in Real Estate decision-making, as well as seeing some use cases and how to put it into practice with CARTOframes. You can watch the recorded webinar at: https://go.carto.com/en/webinars/cartoframes-real-estate-recorded
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Applying Spatial Analysis to Real Estate Decision-Making
1. Applying Spatial Analysis to
Real Estate Decision-Making
Follow @CARTO on Twitter
CARTOframes Webinar Series
2. CARTO — Unlock the power of spatial analysis
Introductions
Virginia Diego
Senior Product Marketing Manager
César Monteserín
Product Manager
3. Multi-billion dollar industries are being
built on location data
80%Of all data collected has a
location element on it
10%Is actually used to Power
Business Decisions
4. CARTO — Unlock the power of spatial analysis
Everything happens somewhere
5. CARTO — Unlock the power of spatial analysis
A fundamental shift
Location, context,
people
Location, location,
location
6. CARTO — Unlock the power of spatial analysis
...and new opportunities & challenges
New home
buyers
New ways of
working
Big Data
Retail
transformation
Proptech Climate risks
7. CARTO — Unlock the power of spatial analysis
New analysis, new data, new end
users
New End Users
● Business Analysts
● Product Managers
● Data Scientists
● Decision Makers
New Data Streams
● Human Mobility
● Transactions
● IoT Hardware
● Connected Devices
● Census or Open Data
● CRM or Loyalty Data
New Analysis
● Optimization
● Spatial Prediction
● Visual Inference
● Spatial Data Science
8. CARTO — Unlock the power of spatial analysis
The spatial analytics community
is growing beyond traditional
GIS
9. CARTO — Unlock the power of spatial analysis
Why?
Can we predict where we should invest
and the factors that contribute to
performance?
Where?
Where are the most profitable
properties in my portfolio?
10. CARTO — Unlock the power of spatial analysis
Spatial Data Science and Real
Estate are a natural fit
11. CARTO — Unlock the power of spatial analysis
Spatial Data Science is growing
rapidly, but there are challenges
1 in 3 68% 53%
Data Scientists have
expertise in spatial
techniques
of organizations are likely to
increase their investment in
Spatial Data Science in the
next 2 years
of organizations find it
challenging to identify the
right software & data to
support Spatial Data Science
projects
12. CARTO — Unlock the power of spatial analysis
Discovering data useful
for their analysis
Evaluating and
purchasing data
ETLing the data
into common
structures
Analyzing, doing
feature extraction and
modeling
30% 30% 20% 20%
Where do Data Scientists spend
time?
13. CARTO — Unlock the power of spatial analysis
Capture the power of Spatial Data
Science techniques in your projects
14. CARTO — Unlock the power of spatial analysis
CARTOframes: Powering end-to-end
Data Science workflows
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 the
results—no API keys
needed.
15. CARTO — Unlock the power of spatial analysis
New data streams can unlock competitive advantages
Human mobility
Road traffic
Demographics
Environmental
Points of interest
Global boundaries
Financial
Housing
16. CARTO — Unlock the power of spatial analysis
Top use cases in Real Estate
Investment
Analysis
Site Planning
Trade Area
Analysis
Pricing
Optimization
Real Estate firms across the
globe are using Location
Intelligence in both residential
and commercial real estate.
Techniques include:
● Exploratory spatial
analysis
● Data enrichment
● Spatial feature
engineering
● Predictive modeling
● Revenue prediction
17. CARTO — Unlock the power of spatial analysis
It’s time to see this in a notebook!
18. CARTO — Unlock the power of spatial analysis
In this demo we’ll see how to...
● Visualize stores by revenue
● Create areas of influence
● Enrich with spatial data that may influence the revenue
● Discard correlated data before predicting
● Predict revenue
● Next steps: site selection
19. CARTO — Unlock the power of spatial analysis
Learn more at
carto.com/cartoframes
20. Thanks for listening!
Any questions?
Request a demo at CARTO.COM
César Monteserín
Product Manager // cmonteserin@carto.com
Virginia Diego
Senior Product Marketing Manager // vdiego@carto.com