Improving Data Accuracy with Automated Age Calculation
I've often found myself questioning the accuracy of demographic data, especially when it comes to age calculation. Manual methods can introduce errors that not only skew results but also impact decision-making in critical sectors. By exploring automated age calculation, I believe we can greatly enhance data integrity. However, there are notable challenges and considerations involved in this shift. What might those be, and how could they shape the future of data management?
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