Account Level view from Transaction Level Data
<p>So my question is regarding a peculiar problem i am facing regarding one of the areas i have to work in as part of my current job. </p>

<p>The domain is credit card transactions. So it's unique at a transaction level. But one person could be performing multiple transactions. Now obviously each transaction will not be identical. </p>

<p>So i have this basic characteristic dataset which i can manage easily. From this dataset, i want to assess Customer Level performance, across segments, which should be easily accessible without having to run my code for different combination of variables. Basically, what i'm aiming at is reaching at a customer level view, that doesn't cause any loss of information in terms of account, and i can still view the performance at a customer level, across segments.</p>

<p>Have any of you done a similar analysis? Or do you have any bright ideas as to how i should do this? I dont know how lucid this explanation is, but let me know if you need further explanation. Thanks for your help!</p>