Certified KPI Professional and Practitioner

Practitioners consider selection and data gathering worldwide to be the most challenging aspects of working with Key Performance Indicators (KPIs). A way to address these challenges is to build a sound framework to measure KPIs, starting from the moment they are selected, until results are collected to be centralized in performance reports.

 

  • Understand KPI measurement challenges and how to address them;
  • Select KPIs for scorecards and dashboards from the organizational to the departmental and individual levels;
  • Develop a KPI implementation project plan;
  • Optimize the KPI activation and data gathering process.
  • Differentiate between objectives, KPIs, and initiatives;
  • Understand KPI selection in different contexts;

 

  • Professionals interested in measuring performance
  • Top/middle/lower management professionals
  • Performance measurement experts

 

  • Challenges in performance measurement;
  • The value added by KPIs;
  • KPIs concept map;
  • Governance;
  • Organizational levels.
  • Understanding KPIs
  • KPI related terminology;
  • SMART objectives are decomposed by specific criteria;
  • KPI lifecycle.

  • Leading vs. lagging KPIs;
  • Qualitative vs. quantitative KPIs;
  • Efficiency vs. effectiveness KPIs.
  • KPI Taxonomy
  • Interdisciplinary systemic worldview;
  • KPI use case scenarios;
  • KPI DNA map.

 

  • KPI selection for organizational scorecard;
  • KPI selection sources;
  • KPI selection techniques.
  • KPI Alignment
  • KPI alignment approaches
  • KPI selection for corporate scorecard;
  • KPIs cascaded to the functional area.

 

  • KPI documentation form functions;
  • KPI documentation form design;
  • KPI documentation process;
  • Organizational KPI libraries.
  • Working with targets
  • Target setting process;
  • Targets in practice;
  • Challenges in working with targets;
  • Negative behaviors when setting targets.

 

  • Data quality dimensions;
  • KPI reporting data sources;
  • KPI activation tools;
  • KPI activation techniques;
  • Working with data custodians;
  • Data collection methods.
  • Data visualization
  • Guidelines for designing efficient templates;
  • Usability in terms of visual design.
  • Guidelines for designing efficient templates;
  • Usability in terms of visual design;
  • Scorecard and dashboard design.

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