Data Analytics

GeekMindz can help you build products that addresses significant gaps in decision making in existing enterprise and consumer processes.

We engage with enterprises, consulting firms and start-ups driving the product design and management process.

Why Data Analysis?

Data analysis helps enterprises maximize the output, and unleash the hidden potential. It helps create new and relevant opportunities for the enterprises in their go-to-market, thus offering them better growth and accelerating their scalability. High-performance, flexibility, and better decision making is a result of proper data analysis.

Offering better value helps improve customer experience, and it is possible with better utilization of data analysis. Let us take you through three reasons why data analysis is important for enterprises.

Data Analytics Procedure

Data Collection & Preparation

This is where data (structured and unstructured) is collected, stored, cleaned and prepared for analysis. The steps involved include:

  • Data Collection
  • Preparing the codebook
  • Setup the structure for the data
  • Enter the data
  • Screen the data

Benefits of Data
Analysis

  • Improved yields
  • Better monitoring facility
  • Reduction in process failures
  • Accelerating time-to-market
  • Decreased variability
  • Cost-effective product development