"Point in Time" can refer to a specific issue or email deployment, as at now, or where will we be at a future point in time.

 

Data hygiene is critical in facilitating a Point in Time analysis. This includes getting your data into a clean, useful and standardized condition, and then keeping it that way.

Clean data  has had duplication addressed and removed, and is accurately defined by a custom set of rules.

Useful data  contains fields with sufficient detail to support analyses geared to your business opportunities. 

Standardized data  meets email and snail-mail structures, has standardized demographic coding and overall consistency in updating.

 

 TAMi takes care of data hygiene as part of our day to day data maintenance, and also offers one-off project services