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How do you navigate unexpected data challenges in your projects?

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Claudia Alcelay
PMI Team Member
Learning & Innovation Research Manager| Project Management Institute (PMI) Spain
Data quality and quantity is particularly important as we think about leveraging AI on projects. Considerations include the diversity and comprehensiveness of the data that is available to us. 
 
Have you ever encountered unexpected challenges or pitfalls while using data in your projects? How did you navigate the situation and find a resolution? 
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FEDMAR HERAMIS RIYADH, 01, Saudi Arabia
How do you navigate unexpected data challenges in your projects? In my experience one of the data challenges will be the data security, using AI and Cloud based services will exposed the customer for possible data breached and as a PM I believe that is the top priority of a project. NDA's and customer acceptance for disclosure is very vital before the project kicks in.
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Chioma Opara
The major challenge I encountered in an earlier project was the improper collection of data. This made data classification and retrieval extremely difficult. To resolve this, we performed a root cause analysis and realized that we had to reengineer a couple of the business processes to ensure that the correct data was collected in the correct format.
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Asheesh Kumar Saxena Lead Network Project / Program Management| 'AT&T Communication' Bangalore, Karnataka, India
We do data validation and test the results to make sure data is accurate and usable for the project. We have pre-defined validation rules and testing matrix, which we keep on updating based on lesson learned from each project.
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Anonymous
We are still at the beginning to look at our data for quality, etc.
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Anonymous
We are still at the beginning to look at our data for quality, etc.
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Bingye Yu Branson, Mo, United States
Mar 29, 2024 4:13 PM
Replying to DIVINE KAYII
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We have been quite careful to manage available data from the field and the the lessons learn data base. i would encouraged our team of expert to conduct a thorough assessment of the data to identify any inconsistencies, errors, or missing values if any observe and unusual pattern that suggest error.
Inconsistent is really a thing, especially multiple people touch the same area with different preference methods. Cost longer time to maintain in long run.
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Sanjay Bhagat Deputy General Manager| Blupine Energy Pvt Ltd New Delhi, Dl, India
No
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Anonymous
A major challenge in using data is the presence of outliers. Once faced, we need to double check the source of information, which is always data consuming and involve additional costs.
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Anonymous
I have been in situations where the data itself was inaccurate do to errors in submission. In this case I was wary of its usage. My response was to do some personal research to confirm the validity of the data before using it.
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ISIFE JUDE CHUKWUNONSO Field Engineer (SME)| ZOOM MOBILE COMMUNICATIONS LTD. Lagos Island, Lagos, Nigeria
Challenges with data in projects stresses the need for data experts in project life. Since AI is the in thing now as regards projects, data subject matter experts tends to be a necessary companion to project managers.
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