1. ANALYZING REAL ESTATE TRANSACTIONS
A presentation by
W H Inmon

2. There’s a lot going on in real estate today

3. And there’s a pot of gold to be made by understanding the
marketplace

4. The secret to understanding the market place is understanding
transactions
Sales
Financial transactions
Loans, loan rates
Consumers

5. Recording by county of a deed of trust

6. County recording of a loan

7. Inline contextualization
Taxonomy/ontology
resolution
Custom variable formatting
The three primary types of transformations done
In order to turn raw text into a standard data base

8. The general architecture
taxonomy
visualization
textual
ETL
unstructured
data
Standard
data base
real estate
transactions
Oracle
DB2
Hadoop
SQL Server
Teradata
Netezza
50,000,000,000 records
Tableau
SAS
Qlikview
Cognos
Excel
Many others
The general architecture

9. The output is a
data base
in a normalized
structure

10. Record id
Value of interest
Context descriptor

11. recorder
residence
lien filed
city state

12. recorder
residence
lien filed
city state

13. Query -
Find all sales in Arizona for month of May
Find all commercial sales less than $500,000 for 1st quarter
Find all loans granted in June where rate is less than 3.75%
You are only limited by your imagination

14. Once you have your data in a data base and in a relational
taxonomy
visualization
textual
ETL
unstructured
data
statistical
analysis
customer
response
Tableau
Once you have your data in a data base and in a relational
structure, you can analyze it any way you want

15. With a data base in a normalized structure, you can ask all sorts of
taxonomy
With a data base in a normalized
structure, you can ask all sorts of
questions -
textual
ETL
unstructured
data
Real estate
transactions
How many sales were made in Arizona this month?
How many sales were between $250,000 and $1,000,000?
How many commercial sales were there?
What is the loan to equity ratio?
And many, many more questions

16. taxonomy Two approaches to doing the same thing automated manual
textual
ETL
unstructured
data
manual
unstructured
data
manually

17. Cheap
Fast
Accurate
Textual
ETL
automated
Expensive
Slow
Error prone
manual

18. Now you can go from textual data to meaningful analysis
taxonomy
visualization
textual
ETL
unstructured
data
statistical
analysis
Tableau
Now you can go from textual data to
meaningful analysis

19. taxonomy visualization Now you are set for the “AHA” moment!!
textual
ETL
unstructured
data
Now you are set for the
“AHA” moment!!