With BDNA's help, the company completed the entire analysis in two weeks with 99 percent accuracy. In doing so, IT discovered that it had purchased 6,000 Microsoft Project and Visio licenses, deployed 5,000 of those licenses, but was only using 1,000. Eliminating that waste allowed IT to immediately realize $1.2 million in savings.
Another example is a Fortune 200 financial services company that used BDNA's DaaS solution to consolidate 112 human resource systems in 12 countries and migrate to an HR cloud solution. In doing so, the company discovered that it had 300 servers deployed that weren't doing anything. Eliminating those servers saved the company $3 million.
BDNA's DaaS aggregates inventory data and normalizes it to a consistent taxonomy. It fixes inconsistencies, resolves duplicates and removes irrelevant low-level data from analyses. For example, such low-level data in a migration might include drivers, dlls, hotfixes, etc. Essentially BDNA gains new information on deployment patterns with each engagement and is able to leverage that experience on future engagements.
As Kumar puts it, IT patterns are pretty consistent in a lot of different enterprises. Often it's able to aggregate and normalize a majority of an organization's data with very little effort and is then able to focus its attention on things unique to the engagement in question.
Once the data has been aggregated and normalized, it then appends rich market intelligence to the data. In a migration, for instance, it will append information on hardware readiness, 64 bit compatibility, Windows 7 compatibility, upgrade path and so forth. Some of the market intelligence allows customers even finer control over their environments.
"We have data that shows that the oldest 20 percent of the servers in a data center consume up to 40 percent of the power in that data center," Kumar notes. "If you're trying to reduce power consumption, we can pinpoint exactly the 20 percent that will get you the biggest bang for your buck."
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