Data
Management
We often describe what we do for a living as "beating data into submission". Of
course this description, ironically a key feature of any good information system,
is done with tongue in cheek. The fact remains that moving data through the enterprise
- from source systems that are prone to inherent problems to cleansing and integrating
the data - is one of the most important jobs that we do for clients.
Data isn’t useful to anyone unless it is the right data.
Information has to be something needed, trusted and easily accessible.
While capable tools exist to move data from source systems to the data
warehouse/ data mart (SAS ETL Studio) and to cleanse and augment data (Dataflux),
we offer complete solutions: ThotWave knows which tools coupled with the right approach
are best for your business needs. We know data modeling and can ensure that high quality
information is delivered to end users, just in time.
Data Management Methodology
At ThotWave, we employ a source-move-target (SMT) methodology
for moving data through the warehouse. This project methodology contains five major components:
- Source System
- Move System
- Target System
- Access System
- Management System
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