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Data Analysis

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English Terms PMBOK Tools and Techniques

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Data Analysis
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Data Analysis is a tool and technique used in 32 out of 49 processes (PMBOK 6th Edition). Based no the process name and context in which process is being applied it can mean any of the following or multiple tools simultaneously.

  1. Alternatives-analysis
  2. Assessment of other risk parameters
  3. Assumption and constraint analysis
  4. Cost of quality
  5. Cost-benefit analysis
  6. Decision tree analysis
  7. Document analysis
  8. Earned value analysis
  9. Influence diagrams
  10. Iteration burndown chart
  11. Make-or-buy analysis
  12. Performance reviews
  13. Process analysis
  14. Proposal evaluation
  15. Regression analysis
  16. Reserve analysis
  17. Risk data quality assessment
  18. Risk probability and impact assessment
  19. Root cause analysis
  20. Sensitivity analysis
  21. Simulation
  22. Stakeholder analysis
  23. SWOT analysis
  24. Technical performance analysis
  25. Trend analysis
  26. Variance analysis
  27. What-if scenario analysis

Data Analysis is Tool and Techniques of Following Processes

  1. Monitor and Control Project Work
  2. Perform Integrated Change Control
  3. Close Project or Phase
  4. Plan Scope Management
  5. Collect Requirements
  6. Define Scope
  7. Control Scope
  8. Plan Schedule Management
  9. Estimate Activity Durations
  10. Develop Schedule
  11. Control Schedule
  12. Plan Cost Management
  13. Estimate Costs
  14. Determine Budget
  15. Control Costs
  16. Plan Quality Management
  17. Manage Quality
  18. Control Quality
  19. Estimate Activity Resources
  20. Control Resources
  21. Plan Risk Management
  22. Identify Risks
  23. Perform Qualitative Risk Analysis
  24. Perform Quantitative Risk Analysis
  25. Plan Risk Responses
  26. Monitor Risks
  27. Plan Procurement Management
  28. Conduct Procurements
  29. Control Procurements
  30. Identify Stakeholders
  31. Plan Stakeholder Engagement
  32. Monitor Stakeholder Engagement
Dr. Hari Thapliyaal's avatar

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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