Having the ability to sort our data can be incredibly useful. Whether we are interested in ordering stock prices for the S&P500 from high to low or ranking chessmasters by their Elo rating in reverse order, sorting becomes a vital operation. Just like how a spreadsheet tool allows us to sort columns in ascending or descending order, we also need this facility in our data structure - a custom 'sort' function.

In python, we can implement the sort_data method within our MyDataStructure class. This method will use Python's built-in sort() method on our data list. Given its importance, the sort() method in Python is highly optimized - comparable to some of the best algorithms in the world like Quicksort and Mergesort among others.

Even though calling these methods directly is quite simple, structuring the logic within our data structure, allows us to handle more complex scenarios in the future. It also ensures that we maintain control over our data at a single source, improving code readability and maintenance.

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class MyDataStructure:

    def __init__(self):

        self.data = []

    def add_data(self, new_data):

        self.data.append(new_data)

    def sort_data(self):

        self.data.sort()

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if __name__ == '__main__':

    my_data_structure = MyDataStructure()

    my_data_structure.add_data('AAPL')

    my_data_structure.add_data('GOOG')

    my_data_structure.add_data('AMZN')

    my_data_structure.sort_data()

    print(my_data_structure.data)