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Lead your Industry

Lead your Industry and make an Impact with Data

  • Get Data In Real-Time To Make Faster Decisions
  • Becoming A Real-Time Business And Grow With Data
  • Grow Your Business With Analytical Insights
  • Become “The New Agile” As Your DataOps Meets Self-Service

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No Risk, No Obligation

Make crucial business decisions based on analytical insights on your customers, sales, and accounting

  • Gather Data To Know Your Customers Better
  • Conclusively Find Out Your Best Marketing Channels And Sales Tactics
  • Increase Existing Customer Loyalty And Sales, While Decreasing Customer Churn And Acquisition Cost

The Traditional Way of Accessing Data Accessing data via Data Marts is challenging and cumbersome

Accessing

The Modern Way of Accessing Data Improve your data efficiency and productivity with a SQL engine.

Accessing Data

Data Analytics and Visualization Strategy

As companies increasingly gather data, they need innovative and actionable methods to uncover intelligent insights from their newfound collection of information. Many want to heavily invest in their data visualizations strategy, but don’t know where to begin.

Data visualization essentially comprises three components.

Data Science

This is the raw data that gets recorded, collected, and perhaps aggregated, before being sent over for analysis – also known as the technology-driven “back end” of a big data solution.

Business Analytics

This is the statistical, insights-driven side of the data. You can analyze, consume, and act on the implications of the data as you see fit.

User Experience (UX)

UX focuses on the practicality and design of the end product. Researching user experience ensures that all product users can comfortably visualize the data they are interested in.This is the statistical, insights-driven side of the data. You can analyze, consume, and act on the implications of the data as you see fit.

Data Analytics
SQL Engines

What They Have To Say

Frequently Asked Questions

What is big data analytics?

Big data analytics is a strategy involving the process of collecting, organizing, and analyzing large amounts of data to assist businesses to make informed decisions.

A great big data analytics strategy will uncover previously unknown patterns, correlations, preferences, and/or other vital information for your business.

A data analytics strategy can be applied across all functions of a business to great effect.

Data mining is the process of extracting useful patterns from a large amount of data. Data mining techniques are generally applied over a data warehouse system before business intelligence platforms further present or visualize the relevant data.

After collecting all necessary information, data analysis is done to discover key trends. After that, business intelligence platforms are used to demonstrate these trends and forecast future impact.

Data monetization is the process of using data to increase revenue. Top data analytics companies have integrated a data monetization plan into their overall strategy as a means to streamline current operations and identify new opportunities.

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    Raj Sanghvi

    CEO BitCot

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      Dave S

      Co-Founder- StompSessions

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      I have Known BitCot for 4 years and have been impressed with the diversity and quality of BitCot work. With that solid foundation it was really easy to select BitCot as our development partner.

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