What is Data Science? Transforming Data into Business Value

Data science uses the power of artificial intelligence (AI), machine learning (ML), and business intelligence (BI) to find unseen patterns, derive meaningful information, and make better-informed business decisions.

Application of data science solutions helps generate additional value for products, speed up operations, increase efficiency, and highlight data insights that bring game-changing advantages.

• Accelerated Internal Operations
• Making Generated Data Work for You
• Powerful Analytics
• Measuring and Keeping Track of Everything
• Intelligent Data-driven Decisions
• Business Insight Mining
• Competitive Advantage for Clients
• Trend Capturing and Forecasting

Today, more and more industries use data science to transform large amounts of data into valuable insights — healthcare, finance and banking, marketing, education, and more. For example, the application of data science in marketing teams helps determine which product or service is more popular and more likely to be sold.

The use of data science in the financial industry helps to detect any type of fraudulent transaction faster and use customer data to deliver personalized experiences. Today’s healthcare industry simply cannot do without the introduction of data science models, as they help in drug development, image analysis, etc.

So you are ready to improve your data — where should you start? In this part of the whitepaper, our data scientists thoroughly describe the steps you need to take before launching your data science project to ensure its success.

This tutorial will help you prepare before the application of data science in your business and simplify the kick-off for your engineering team.