What is?
It is a multidisciplinary approach that combines principles and practices from mathematics, statistics, artificial intelligence and computer engineering to analyze large amounts of data.
This analysis allows data scientists to pose and answer questions such as "what happened," "why happened," "what will happen," and "what can be done with the results."
Why is data science important?
Data science is important because it combines tools, methods, and technology to generate meaning from data. Modern organizations are flooded with data; There is a proliferation of devices that can collect and store information automatically.
Online systems and payment gateways capture more data in e-commerce, medicine, finance, and every other aspect of human life. We have large amounts of text, audio, video and image data.
What are the benefits of data science for businesses?
Data science revolutionizes the way businesses operate. Many companies, regardless of size, need a robust data science strategy to drive growth and maintain a competitive advantage. Some key benefits are:
Uncover unknown patterns of transformation.
Data science enables companies to discover new patterns and relationships with the potential to transform the organization. It can reveal low-cost changes in resource management for maximum impact on profit margins.
Innovate with new products and solutions.
Data science can reveal gaps and problems that would otherwise go unnoticed. Better insight into purchasing decisions, customer feedback, and business processes can drive innovation in internal operations and external solutions.
Real-time optimization
It is a tremendous challenge for large companies to respond in real-time to changing conditions, which can cause significant business losses or disruptions. Data science can help companies predict changes and react optimally to different circumstances.
