User Friendly
Database Architecture

Using relational database architecture, the DataTree™ application automatically handles tasks associated with database design.
Built into the application is the intelligence to auto-generate tables, fields, and indexes. Adding custom fields and capturing variable data is as simple as typing in the field name. Worrying about primary keys, indexes, relationships, and datatypes are a thing of the past. Database administrators and programmers are no longer needed.

Product Demo Begin Database Setup

Cloud computing meets marketing database

Offering database automation usually reserved only for Fortune 500 companies, the DataTree™ application boasts a fully featured data warehouse at an affordable price. This is done using the latest in cloud computing and web application development.

A typical DataTree database may contain each of the following fields:

Contact Data
first name
last name
gender
email address
secondary street
primary street
city
state
zip
home phone
cell phone
business phone (optional)
business name (optional)
business job title (optional)
Consumer Demographic Data
age
income
home value
home owner/renter
length of residence
marital status
children present
education level
credit card type
proxy credit score
ethnicity
occupation
mail order responder
purchasing/interest categories
phone number
User Defined Data
The DataTree database supports an unlimited number of
custom, user defined fields. Available datatypes include:
character
free form text
numeric, integer (int2, int4, int8)
dollar
date/datetime
lookup values
System Generated Data
last activity date
source ip address
source datetime stamp
email subscription status (CAN SPAM compliance)
email validity flag (system generated, valid: Y/N)
phone subscription status (Do not call compliance)
phone validity flag (system generated, valid: Y/N)
postal subscription status
postal validity flag (system generated, valid: Y/N)
Purchase Data
product id
transaction date
quantity
purchase amount
Business Firmographic Data (Optional)
sales volume
employee size
standard industrial classification (SIC)
years in business
business phone