Data Science is a multi-disciplinary field that convert the data (various format) acquired from various sources into a common structure and focuses to achieve suitable insights from large amounts of data.
Big Data refers to a very large amount of data that cannot be effectively processed by existing traditional applications. The processing of Big Data starts with the collection of raw data that is impossible to store in the memory of a single computer.
When the world entered the age of big data, how and where such data would be stored was a major concern for businesses until 2010. Later, when Hadoop and similar systems successfully solved the storage problem, the new focus was on how to handle this big data. At this stage, the science of data has come into play.
Most of the data you process as a standard is structured and small; It is possible to analyze with simple BI tools. However, nowadays, most of the data is in unstructured or semi-structured form.
It is possible to identify your customers need in a timely manner as a result of the accurate analysis of the data (e.g. past purchase trends, age, income, periodic demands) obtained from your customers. With data science and analytical analysis, you can create more effective models using your structured or unstructured data and present your products to your customers more precisely.
Data science is the future of Artificial Intelligence. Understanding how data science adds value to your business will affect your company's future.