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Analytical Techniques

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English Terms PMBOK Tools and Techniques

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Analytical Techniques
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Due to environmental factors, a project execution may vary from the plan. It is the project manager’s responsibility to identify the amount of variance in comparison to the original plan, determine the root cause, and forecast potential outcomes considering the amount of variance and environmental variables. This work is called “Analytical Techniques”. In PMBOK this is defined as tool and technique. Below is a list of examples of Analytical Techniques.

  1. Regression Analysis
  2. Grouping Methods
  3. Causal Analysis
  4. Root Cause Analysis
  5. Forecasting Methods (time series, scenario building, simulation etc)
  6. Failure Mode and Effect Analysis (FMEA)
  7. Fault Tree Analysis
  8. Reserve Analysis
  9. Trend Analysis
  10. Earned Value Management
  11. Variance Analysis

Variance Analysis is Tool & Techniques in following PMBOK Processes

  1. Monitor and Control Project Work
  2. Close Project or Phase
  3. Plan Schedule Management
  4. Plan Cost Management
  5. Plan Risk Management
  6. Conduct Procurements
  7. Plan Stakeholder Management
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Dr. Hari Thapliyaal

Dr. Hari Thapliyal is a seasoned professional and prolific blogger with a multifaceted background that spans the realms of Data Science, Project Management, and Advait-Vedanta Philosophy. Holding a Doctorate in AI/NLP from SSBM (Geneva, Switzerland), Hari has earned Master's degrees in Computers, Business Management, Data Science, and Economics, reflecting his dedication to continuous learning and a diverse skill set. With over three decades of experience in management and leadership, Hari has proven expertise in training, consulting, and coaching within the technology sector. His extensive 16+ years in all phases of software product development are complemented by a decade-long focus on course design, training, coaching, and consulting in Project Management. In the dynamic field of Data Science, Hari stands out with more than three years of hands-on experience in software development, training course development, training, and mentoring professionals. His areas of specialization include Data Science, AI, Computer Vision, NLP, complex machine learning algorithms, statistical modeling, pattern identification, and extraction of valuable insights. Hari's professional journey showcases his diverse experience in planning and executing multiple types of projects. He excels in driving stakeholders to identify and resolve business problems, consistently delivering excellent results. Beyond the professional sphere, Hari finds solace in long meditation, often seeking secluded places or immersing himself in the embrace of nature.

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