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Find customer names, addresses and e.g. filter for specific dates or periods in a dataset. The functions could be used for databases in sales, marketing, recruiting, etc.

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Finder

This notebook is about typical challenges when you have a large dataset and need to find the name of a specific customer, an address or want to filter for a defined date or period.

So one typical business case could be a client in your address list and you are not sure if this person or company is one or several times in your dataset, which will result in e.g.

  • extra costs when you send out Marketing material, catalogues or presents,
  • look unprofessional and you could risk to lose this contact,
  • more unused space in your datasets or "file corpses"
  • multiple invoices, different customer numbers and also multiple employees responsible for the same customer

office


Files

Notebook: ipynb

Dataset: The used file is from Kaggle


Technical preparation

Requirements

pyenv python==3.9.4 Setup

For this purpose you use following commands:

python -m venv .venv
source .venv/bin/activate
pip install --upgrade pip
pip install -r requirements.txt

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Find customer names, addresses and e.g. filter for specific dates or periods in a dataset. The functions could be used for databases in sales, marketing, recruiting, etc.

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