Features:

  • Ingest data from over 100 different sources
  • Clean and adjust dirty data
  • Present data in a readable format
  • Create reports based on the data
  • Create products for retail sale
  • Communicate with end customers
  • Integrate with 3rd party providers
  • Apply machine learning models to predict outcomes

Description:

Our team at Practical Consulting recently developed a sophisticated data processing and reporting application for a client in the retail industry. This application is designed to ingest and process large amounts of data from over 100 different sources, including sales data, customer data, and product data.

One of the key features of this application is its ability to clean and adjust dirty data, ensuring that the final product is accurate and reliable. It is also able to present the data in a clear and easy-to-understand format, making it useful for a wide range of audiences.

In addition to its data processing capabilities, this application is able to create reports based on the data, allowing our client to gain valuable insights into their business. It is also able to create products for retail sale and communicate with end customers, making it a valuable tool for the client’s operations.

This application is also able to integrate with 3rd party providers and apply machine learning models to the data to predict outcomes. Overall, this project was a success and has significantly improved the efficiency and effectiveness of our client’s data management processes.