Database
Overview: Customer Relationship
Management (CRM) is at the core of database analysis and purpose. Our methods
include database design and management, data mining, data quality, data hygiene,
merge/purge/de-dupe, and data conversion.
Database Management
Experience with
files containing millions of records. Examples: GM sales files, GM Credit
Card customer files, and various other transactions level data.
Reorganized Prodigy
Internet's customer database under intense time pressure to produce marketing
recommendations for new acquisitions, by identifying heavy users of their
service and their characteristics.
Data Mining
Find hidden value
in the data you have. Our advanced statistical methods will uncover your
diamond in the rough.
Data
Quality/Hygiene
Is your data a
mess? Try this one on for size. GM had a direct mail program, where people
responded by hand writing in the brand they were interested in buying. Many
of these were misspelled or invalid and we wrote an algorhythm, which identified
the brands with over 98% accuracy.
Merge/Purge/De-dupe
Do you have lists
that need to be combined or reworked? Are you mailing twice to the
same address? Do you want to mail only to certain segments of your
list? Need help identifying who those people should be? No list is too
big for us to manage.
Data
Conversion
Translate files
from one file format into another, such as from ASCII fixed column to a SAS
dataset.
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