Team 2                  Tecnologico de Monterrey   Field Project II
Juan Manuel Cardenas              A01307732
Maria Lucia Peraza                A00787386
Amilcar Alfredo Umaña             A01307731
Gabriel Gomez Silva               A00740464
Victor Gutiérrez                  A00665507
   Definition
   Why IT metrics?
   Defining IT metrics
   Categorizing IT metrics
   Validating IT metrics
   Examples
   Common mistakes
“IT metrics represent the IT desirable behaviors in
    the Governance framework; they reflect the
      impact of IT capabilities on the business”


            You cannot manage what you cannot control
            You cannot control what you cannot measure
            You cannot measure what you cannot define
   IT metrics help to achieve the organization’s
    objectives, such as:
     Ensure the availability of existing processing
        capabilities
       Utilize available staff resources efficiently
       Timely response to business requests for new features
        or services
       Ensure the successful implementation of system
        changes
       Manage the cost of delivering IT services and optimize
        value
   Metrics definition are part of process improvement
    performed during Service Management Phase.

                                     Where do we want to be?         Vision and Business
      Process Improvement Cycle




                                                                          Objectives


                                       Where are we now?                  Assesment



                                                                   Process Improvement or
                                  How do we get where we want to
                                              be?                      Re-engineering


                                                                   Metrics and Measurements
                                     How do we know we have
                                            arrived?
Focused on measuring quality,            Focused on measuring performance
capacity and service availability.       and achievement of objectives.




        Focused on measuring trends in
        service and work performance.
   Relate the metric to the goal you intend to support.
   Evaluate each compound metric's components for
    correctness and applicability.
   Examine the quality and applicability of all input data
    for the metric.
   Examine the metric result's
    applicability to relevant
    components to which the
    result may contribute.
   Perform sensitivity analyses
    on the metric.
                   * Image: http://ericmartinson.net/wp-content/uploads/2011/07/Network-Marketing-Validation.jpg
   Service measures
        Volume of closed tickets   • Shows the volume of closed tickets.


        On Time Delivery (OTD)     • Percentage of tickets resolved in time.


                                   • Shows the percentage of tickets that are resolved
         First Time Right (FTR)      correctly.

                                   • Shows the percentage of closed tickets that are fully
            Documentation            documented.


        On time response (OTR)     • Shows the average time to take the ticket.


                                   • Shows the average time that the ticket is assigned to the
         Cycle time team (CTT)       team.

         Time validation of the    • Shows the average time is that the solution is validated
            solution (TVS)           ticket.
Service measures   Graphs

Volume of closed
    tickets




      SLA




      FTR
   Measure the right things badly.
   Measure the wrong things, either well or
    badly.
   Neglect to measure something important.
   Extend measures to individual employees.




           * Image: http://www.lizlockard.com/wp-content/uploads/2012/06/Proper-Measurement-with-Google-Analytics.jpg
Weill, Peter & Ross, Jeanne (2004). IT Governance: How Top Performers Manage IT
Decision Rights for Superior Results. First Edition. Harvard Business Press.

Smith, Gary T. (2004). A Primer on Metrics, Part Two. Retrieved on October 16,
2012 from http://www.informationweek.com/software/business-intelligence/a-
primer-on-metrics-part-two/18300123.

Lewis, Bob (2011). The four fallacies of IT metrics . Retrieved on October 16, 2012
from http://www.infoworld.com/t/it-strategy/the-four-fallacies-it-metrics-181517

Spanos, Nicholas (2011). 101 IT Performance Metrics. Retrieved on October 16,
2012 from http://www.compaid.com/caiinternet/ezine/Spanos-Metrics.pdf

IT Metrics Presentation

  • 1.
    Team 2 Tecnologico de Monterrey Field Project II Juan Manuel Cardenas A01307732 Maria Lucia Peraza A00787386 Amilcar Alfredo Umaña A01307731 Gabriel Gomez Silva A00740464 Victor Gutiérrez A00665507
  • 2.
    Definition  Why IT metrics?  Defining IT metrics  Categorizing IT metrics  Validating IT metrics  Examples  Common mistakes
  • 3.
    “IT metrics representthe IT desirable behaviors in the Governance framework; they reflect the impact of IT capabilities on the business” You cannot manage what you cannot control You cannot control what you cannot measure You cannot measure what you cannot define
  • 4.
    IT metrics help to achieve the organization’s objectives, such as:  Ensure the availability of existing processing capabilities  Utilize available staff resources efficiently  Timely response to business requests for new features or services  Ensure the successful implementation of system changes  Manage the cost of delivering IT services and optimize value
  • 5.
    Metrics definition are part of process improvement performed during Service Management Phase. Where do we want to be? Vision and Business Process Improvement Cycle Objectives Where are we now? Assesment Process Improvement or How do we get where we want to be? Re-engineering Metrics and Measurements How do we know we have arrived?
  • 6.
    Focused on measuringquality, Focused on measuring performance capacity and service availability. and achievement of objectives. Focused on measuring trends in service and work performance.
  • 7.
    Relate the metric to the goal you intend to support.  Evaluate each compound metric's components for correctness and applicability.  Examine the quality and applicability of all input data for the metric.  Examine the metric result's applicability to relevant components to which the result may contribute.  Perform sensitivity analyses on the metric. * Image: http://ericmartinson.net/wp-content/uploads/2011/07/Network-Marketing-Validation.jpg
  • 8.
    Service measures Volume of closed tickets • Shows the volume of closed tickets. On Time Delivery (OTD) • Percentage of tickets resolved in time. • Shows the percentage of tickets that are resolved First Time Right (FTR) correctly. • Shows the percentage of closed tickets that are fully Documentation documented. On time response (OTR) • Shows the average time to take the ticket. • Shows the average time that the ticket is assigned to the Cycle time team (CTT) team. Time validation of the • Shows the average time is that the solution is validated solution (TVS) ticket.
  • 9.
    Service measures Graphs Volume of closed tickets SLA FTR
  • 10.
    Measure the right things badly.  Measure the wrong things, either well or badly.  Neglect to measure something important.  Extend measures to individual employees. * Image: http://www.lizlockard.com/wp-content/uploads/2012/06/Proper-Measurement-with-Google-Analytics.jpg
  • 11.
    Weill, Peter &Ross, Jeanne (2004). IT Governance: How Top Performers Manage IT Decision Rights for Superior Results. First Edition. Harvard Business Press. Smith, Gary T. (2004). A Primer on Metrics, Part Two. Retrieved on October 16, 2012 from http://www.informationweek.com/software/business-intelligence/a- primer-on-metrics-part-two/18300123. Lewis, Bob (2011). The four fallacies of IT metrics . Retrieved on October 16, 2012 from http://www.infoworld.com/t/it-strategy/the-four-fallacies-it-metrics-181517 Spanos, Nicholas (2011). 101 IT Performance Metrics. Retrieved on October 16, 2012 from http://www.compaid.com/caiinternet/ezine/Spanos-Metrics.pdf