Big Data Consulting

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The success of your data science project primarily depends on the quality and amount of data it uses.

This is because the accuracy of ML models is mainly correlated with the amount of data and with how well it was labelled (in case of supervised machine learning models).

We work with you to identify the right tools and then collect, clean, integrate and prepare relevant data sets to feed directly into your machine learning model(s). Our services include the following steps: preparing the data, pre-processing and standardization, development of model, and implementation of the final algorithm into a production environment.

We help organizations to collect their data from various internal and external sources, both with internal scripts and using ETL platforms.

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