Share This:


I’m a big fan of low tech.  I probably shouldn’t say that, given that I work for a high tech company.  Every time I see a new device with a stylus, I think why buy a $100 pen that I am going to lose when the virtually free one in my hand does just fine?  That said I’m also a big fan of leveraging technology in  ways where it makes sense and where the benefits vastly outweigh the costs.  When I can leverage technology to make myself or my customers more efficient, effective and thereby more productive – I’m the first one in line to check into it.


For Kalyan Kumar (aka KK), Worldwide Head of IT Consulting and Cross Tower Services at HCL Technologies, ( using the predictive analytics in BMC ProactiveNet Performance Management is an advanced technology that makes sense. It enables  his team to manage a growing base 100,000 servers, deployed globally across multiple customers, and deliver a higher quality of service at a lower cost.  The ability of predictive analytics to aggregate, analyze and action massive amounts of data allows HCL to do something that is simply not humanly possible without this technology.  That is to proactively identify and repair problems before things fail.  This is simply something that cannot be done with threshold-based monitoring tools - or a with a pen.


In a BMC podcast KK discusses the reasons why HCL adopted predictive analytics as well as the business and customer value derived from it...


1.  Incident Reduction - HCL staff can proactively detect application failure, and  reduce incident volumes by 60%


2.  Integrated - with a single predictive analytics platform increases his  staff efficiency and effectiveness.  It provides a single source for  - global, integrated - performance, event and service-impact management


3.  Actionable intelligence - reduced MTTR, lower TCO and better/consistent customer performance with automated root cause analysis


You know I keep hearing from industry analysts that 2012 will be the breakout year when behavior learning and predictive analytics will go from the margins to the mainstream.  And I have to believe that they are not too far off, given the increasing complexity and continued expansion IT environments – to include both enterprise IT and cloud.


Learn more about predictive analytics with a with a podcast from an early adopter - HCL Technologies: