In this situation, straight answer is NO. I know at times, it can be very tricky & not everyone likes to listen this answer without proper justifying reason. In this case, I would try to arrive at some trends and patterns with incomplete data if possible, by clearly stating assumptions. The most important last step is, to build & present a story line on what complete data set can bring to the table, instead of a half-cooked meal..

When faced with incomplete data, I first analyze the available information to identify key patterns and gaps. If more data isn’t accessible, I make informed assumptions based on past trends or expert input, while developing different scenarios to evaluate potential outcomes. I prioritize critical factors and assess the risks of each option. Consulting team members also helps to validate assumptions and gain diverse perspectives. This approach allows me to make a balanced, data-driven decision despite incomplete information.

If shortage of data, Discuss with domain or Area experts who are masters in those areas, Collaboration them and analysis all suggesting scenarios and take appropriate decisions. In construction terms Execution easy, quality work, Less Time , Less Cost and minimum Risk scenarios will implement or submission.

In this scenario, it would depend on what type crucial data is missing, so I can find the right people to consult. Of course, if this is truly an important component to my decision, then the decision may be postponed until the answer is revealed.

When faced with a critical decision you must ensure you have accurate and complete data. As complete as possible. Make sure you have a good overview with key details that back up your analysis and decision-making process. If your data is incomplete, sometimes it is better to potentially delay the decision in order to buy time for extra research to complete your dataset. Don't forget to ask colleagues and experts from other departments as well. The best ideas come from interdisciplinary teams!