Our process involves the gathering, combining, structuring and organisation of data for use in any number of post-processing such as machine learning, analytics, data investigations, e.t.c.

Many businesses struggle with pre-processing especially when data feeders are completely dirty with no logical pattern for automated clean ups. At Byte Cognetics we work with thousands of data analysts through our off-shore partners to clean up the most complex of data where human intervention is required.

How we prepare your data

Data Preparation
  • Collect Data

    We begin this process by collecting data from data sources you provide to us with the appropriate permissions at any scale

  • Clean Data

    Based on defined rules set and agreed with your data teams and stakeholders, we perform cleanup on your data using a variety of means available to us and human intervention where necessary

  • Label Data

    For raw data formats such as images, files, videos etc we add metadata information using structure labels based on predefined label rules. This can be useful for several use cases such as computer vision, natural languages process and image recognition

  • Validate

    Using a number of tools we validate your data to ensure the highest possible quality to enable a smooth post-process

  • Report Anomalies

    We generate anomalies and make available to your team on the data that has been processed using AI

  • Load for collection

    When data preparation is complete, we load into structured formats on our services or feed into a provision service you have made available to us

AI Driven Data Quality Management

We implement artificial intelligence in our data preparation processes to help us manage the quality of the data preparation workflows. And where our implementation of the AI fails, using human intervention we prepare data to the highest standards possible.

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Quality Assurance

Using artificial intelligence we walk through the data to determine anomalies which are reported back to you. Where necessary we engage human intervention from our data quality teams to ensure the highest quality of data before sending it back to you through our continuous data delivery system.

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