Data Science

Ask these questions to yourself:

  1. Do I know which of the customer segment is about to churn?
  2. Do I know which segments to target to improve marketing ROI?
  3. What will be my sales forecast for next three months?
  4. How much inventory do I need to meet my demands?
  5. Is my customer happy or sad?
  6. What can I promote to my customers based on their past purchases?

We use machine learning and deep learning techniques running on GPUs on the cloud to help you reduce anxiety and make better business decisions.

Does any of the above questions sound familiar to you?


Advanced data analytics starts with a methodical approach. We follow 5 steps approach for data analytics problems.

  1. Data Profiling – or simply data discovery.
  2. Find systematic patterns using Regression
  3. Correlation analysis – Looking to see if there are unique relationships between variables that are not immediately obvious
  4. Outlier analysis – are the outliers showing us new emerging trends or are they just outliers? We need to check this in our data to capture trends early.
  5. Cohort/cluster analysis – data segmentation.

All in all combined you can see a full picture of your data with results and outcomes expressed as visuals for a better understanding of your data. Read more to find out how do we do it.