"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