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It's Time the Data Center Gets the "Moneyball" Treatment

It's Time the Data Center Gets the "Moneyball" Treatment



Hear a new approach to predicting IT and business performance. Join TeamQuest Director of Market Development Dave Wagner as he explains why old, traditional methods are failing. ...

Hear a new approach to predicting IT and business performance. Join TeamQuest Director of Market Development Dave Wagner as he explains why old, traditional methods are failing.

Wagner will present what he calls the "Moneyball treatment" (loosely based on sabremetrics - an approach to measuring and analyzing complex, previously unappreciated data relationships, famously first applied to sports performance and played out in the movie, "Moneyball").

Learn ways to better identify relationships across widely disparate data sets. Predict IT and business performance based on these relationships combined with historical and current performance. Real predictions cannot be based on simple trending approaches because they don’t factor the ugly realities associated with resource contention.



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  • Demands on underlying IT infrastrucdture are changing dramatically due to the continued push for “Smart Grid” and Analytics systems, applications and programs
  • Making it much more complex to plan, manage, budget to true (and ensurable) performanceams…
  • Our way is better, faster, and more cost effective than the alternatives to Build a huge “data mart” (i.e. PMDB)Complexity = (data ETL) x (# sources) x (maint. effort) x (SDDC variability/dynamism) x … + Compliance: Data duplication, privacy, audit, etc… + Lock in”= Very costly and time-consumingOr Apply general purpose BI analytics to IT challenges they aren’t designed to handleAnswers Business questions, but…Not focused on IT Resource optimization, performance, capacityAgility? Core competence?
  • Bullet OneProactively manage true performancePredictively optimize performance and capacityContinuously cost-optimize IT resource decisionsBullet TwoBusiness KPI and Financials into IT decisionsIT Performance and Capacity in Business contextBullet ThreeRepeatable, standardized, flexible, scalableGartner calls this rapidly growing arena: IT Operations Analytics – the ability for IT Operations to Automate Analytic insight into data; transforming operational disciplines like Capacity Planning, Configuration management, Financial optimization, Performance Management and more.We do this with a unique approach that brings Business Analytics and perspectives into the IT performance and capacity decision process by via three key technological differentiators:1. Continuous measurement, analysis and reporting on the real and true performance of IT resources in terms of their ability to sustain acceptable business service level performance (instead of simplistic, commodity-metric, resource utilization approaches) – after all, nobody in business or the market CARES what your IT resource utilization rates are! It’s all about the customer experience! And…2. Continuous Prediction of what business service response times and transactional throughput will be, giving IT and the Business distant early warning to not only potential disruptions, but detailed insight into precisely which resources will be the problem, when and why – from Servers, Virtual Servers and applications down to the storage they depend upon, And finally…3. Marrying these IT analytics with: a) financial costs (CapEx and OpEx) associated with the IT resources needed to sustain the business, b) Business KPIs and other insights obtained through the use of Business Intelligence Analytics tools and initiatives.Our solution ensures bi-directional alignment: so that IT analysis and decisions can be both made – and communicated – in proper business contextFinally our solution’s comprehensive automation ensures adaptability to the needs of IT and the business, while proven scalable to the largest of IT environments (we have customers with 10’s of thousands of physical/virtual servers, many hundreds of applications, huge amounts of storage….), yet not requiring massive investments in staff/expertiseAdditional Talking points if/when needed that go “down another level”:1) Managing based on metrics that matterUnlike all other IT Performance or Capacity Management solutions, we uniquely optimize and manage based on application latency (“response time”) and throughput (how much business work is getting done, or not). This is the only thing business, customers and the market really care about. (if needed can go into further details like how leading Virtualization analysts like Bernd Harzog state how critical this will be to managing the complexity of “virtualized everything” (aka: SDDC), etc…)2) Based on flexible, scalable, open and agile IT Analytics that adapt across the enterpriseOur analytics are fully automated, exception-based, and flexible; with proven scalability to the largest of environments without requiring massive investments in staff/expertiseWe unify IT Performance management with a true enterprise-wide perspective, ending the cross domain “finger pointing” and costly, time-wasting “tiger team” diagnosis meetings when trying to optimize, diagnose, or manage complex virtual/cloud server/storage environmentsBecause our analytics are open and agile, and integrate with customers existing tools, data, and processes, there is not only no “rip and replace” required, there is extremely rapid realization of value and ROI as well as the comfort of investment protection (again if needed could cite WF example here)
  • First, discuss these two examples. Then…These and our other successful customers achieve these types of results by (seque to next slide)