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Tips for client project week

This post was originally published on The Data School blog between 2018 and July 2025, before our program was renamed to MIP’s Analytics Career Accelerator. References throughout this article to “The Data School” or “DS” all refer to what is now MIP’s Analytics Career Accelerator. The program, its people, and its commitment to launching outstanding analytics careers remain the same – just under a new name.

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  1. Do the data pre exploration before the client week.Get unique ID and scheme of the datasets.It will help you to manage the datasets well and help team members quickly access the data. Using powerBI to get the scheme and tableau prep to go though the relationship in dataset.
  2. Write down as many questions you can. Ask the client if they have a dictionary to explain the data and to clarify some important business rules I. Other Questions include but not limited: which versions of tools are you using. Who to connect with if we have questions along the way.
  3. Time manage is a key. Plan your project time table and control the topic and time frame of each meeting. Check the progress with them with every day scrum meeting and make sure everyone is on the right track and doing OK.

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