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    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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    Data Representation

    less than 1 minute read

    Data Representation

    Data Representation is a tool and technique used in 11 processes (PMBOK6). Based on the process name, context of the process it can mean any of the following techniques.

    1. Affinity diagrams
    2. Cause-and-effect diagrams
    3. Control charts
    4. Flowcharts
    5. Hierarchical charts
    6. Histograms
    7. Logical data model
    8. Matrix diagrams
    9. Matrix-based charts
    10. Mind mapping
    11. Probability and impact matrix
    12. Scatter diagrams
    13. Stakeholder engagement assessment matrix
    14. Stakeholder mapping/ representation
    15. Text-oriented formats

    Data Representation is tool and technique of following processes

    1. Collect Requirements
    2. Plan Quality Management
    3. Manage Quality
    4. Control Quality
    5. Plan Resource Management
    6. Plan Communications Management
    7. Monitor Communications
    8. Perform Qualitative Risk Analysis
    9. Identify Stakeholders
    10. Plan Stakeholder Engagement
    11. Monitor Stakeholder Engagement

    Updated: February 15, 2021

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