Work Performance Data
#Work Performance Data is input or output in PMBOK processes. It is a raw observation while the process is being performed. There is no meaning of this data. To bring the meaning you need to bring the entire context and analyze the data in that context. Some examples of this can be as follows.
- In a banking software application development: 4 change requests related to data entry system in an application, 5 change requests related to UI, 6 changes related to the workflow change. The test server was down for 2 hours, cost of the X component is $100.
- In a physical security system: 6 vehicles went out of the factory, 10 people came into the factory at 11 AM, etc.
- On the project site: 10 people were working at 10 PM on the construction of boundary wall, 3 KM road is constructed in 1 week.
Without context, we cannot interpret any of the above data. We cannot say it is good or bad. In the absence of such analysis, we cannot make any decision or take any action.
Work performance data is output of Direct and Manage Project Work
Work performance data is input in following processes.
- Validate Scope
- Control Scope
- Control Schedule
- Control Costs
- Control Quality
- Control Resources
- Monitor Communications
- Monitor Risks
- Control Procurements
- Monitor Stakeholder Engagement
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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