The Army’s need for Data Mining
During
this critical time in US history, with the financial crisis, the Debt Ceiling
and potential Government Sequestration, the theme around the Pentagon and
around the nation is “Do More With Less”.
With budget cuts looming and the obvious downsizing of the DoD, the task
at hand for our military leaders is to determine how to maximize our
investments. Obviously with less money to spend, fewer men and women to perform
the task, minimizing inefficiencies is the key. Just within the Army, they have
identified many opportunities for savings in application modernization. Within the IT operations realm, the Army can
eliminate many program and data duplication. Col. Chris Miller (the Army’s data
center consolidation program director) believes that they can remove this
duplication and prepare applications for movement into other operations
environments. With the focus of two wars for ten plus years, there hasn't been
an emphasis on long term planning. The priority was to supply the war-fighter
with what they needed as soon as possible at the cost of managing and
maintaining these quick fix databases. The Army has found at least 16,000
applications throughout their station’s networks and post camps that need to be
modernized and synced together.
These
data sets need to be mined for common file types and names, duplicate files,
lessons learned from how the data got duplicated, and other useful information.
The lessons learned can be significant for future use of the networks and
servers. The effective planning of how data is stored on these servers is very
important, because the Army is planning a reduction from 500 data centers down
to 185. The Army is still doing a discovery and inventory of all data centers.
Miller stated “It is important for us to get the figure right on the number of
data centers we have so we can attack, virtualize, close and modernize our
inventory to get it into an environment that is manageable”. The Army realizes
that there are technical solutions to aid with their duplicate data problems
and consolidation efforts as they move to cloud computing. Data Mining tools
and techniques from this class could be used to help consolidate these data
centers. Miller stated that “Technology, we know it is out there. That is the
easy part. The bigger challenge is the culture and politics.”
GCN reports that the Army may not have the “BIG” data sets of some commercial IT
organizations, but the data it does have is complex. These complex data sets
have useful and viable information linked in, but it requires a set of skills
and techniques to mine this data to retrieve its useful characteristics. After
this enriched data is found, the Data Analyst would be tasked to enrich and
expand it for quick real time analysis for the decision maker’s specific
missions. This data could be placed in an easy modified visualization for
inference into various scenarios. There is a saying of “The answer is right in
front of us” but the decision makers need someone to find it for them.
Jason,
ReplyDeleteVery interesting. Additional references:
http://www.wired.co.uk/news/archive/2013-01/21/equivital-black-ghost
http://www.forbes.com/sites/ciocentral/2012/12/26/big-data-in-the-enterprise-a-lesson-or-two-from-big-brother/
http://www.agc.army.mil/Newsrelease/OTFL_CMB_FEB12.pdf
http://www.armedforcesjournal.com/2012/10/11458170/
Fadel