BDNA

In our previous post of this series we talked about the general issue of data variability and the challenges it presents to ITAM practitioners.  You’re likely familiar with the truism “Garbage in, garbage out” – and it is the Achilles’ heel of any ITAM initiative.  There’s a plethora of data available, but because of the [...]

According to a 2012 study conducted by Arizona State University, it is estimated that the volume of business data worldwide doubles every 1.2 years.  From an ITAM perspective this has multiple impacts; as business data volume increases, so must the infrastructure to store and manage that data increase.  As a result, the datasets that ITAM [...]