Companies that apply data science developments save time and money, recruit and retain better employees, reduce costs and increase the productivity of their business. As for now, it is reasonable to presume that the importance of data science will only increase. 

In this article, we presented several practical applications of data science in HR. Hopefully, these use cases will prove to you or at least stress the importance of BIg Data. Since it can improve the company's HR organization, recruiting and hiring process, employee retention, productivity, and success of the business as a whole.

https://www.datasciencecentral.com/profiles/blogs/top-data-science-use-cases-in-hr

I think this article can give you an idea about your question: https://www.gartner.com/smarterwithgartner/5-ways-data-science-and-machine-learning-impact-business/#:~:text=With%20their%20ability%20to%20frame,approaches%20that%20were%20previously%20unknown.

Example is that of a multinational package delivery company, UPS. Its On-Road Integrated Optimization and Navigation (ORION) system used data science to figure out how to significantly change the routing of its delivery trucks using many new data sources. The impact was hundreds of millions of dollars of savings and an improved customer experience.

Here is the source for the following answer

https://www.gartner.com/smarterwithgartner/5-ways-data-science-and-machine-learning-impact-business/#:~:text=With%20their%20ability%20to%20frame,approaches%20that%20were%20previously%20unknown.

With their ability to frame complex business problems as machine learning or operations research problems, data scientists hold the key to unveiling better solutions to old problems. They may even reveal new problems and approaches that were previously unknown.

Data Science aid firms in the market analytics

Companies that apply data science developments save time and money, recruit and retain better employees, reduce costs and increase the productivity of their business. As for now, it is reasonable to presume that the importance of data science will only increase. 

In this article, we presented several practical applications of data science in HR. Hopefully, these use cases will prove to you or at least stress the importance of BIg Data. Since it can improve the company's HR organization, recruiting and hiring process, employee retention, productivity, and success of the business as a whole.

https://www.datasciencecentral.com/profiles/blogs/top-data-science-use-cases-in-hr

Dear Colleague;

I will try to reply to your question in a strategic view. Innovation is the most effective strategy in business nowadays. In order to innovate products, manufacturing capability, technique, distribution channel, or customer, you should use transactional data. For instance profiles of your customers are very important defining what, where, how, and in which conditions they want to buy. Thus you should use their shopping data. On the other hand, if you want to improve your production capability, you should use the manufacturing data; when, why, where you have stopped.

In fact, the usage of data is limitless. For example, you want to learn why customers do not prefer your product in the gross market. You can locate cameras on the shelter, and monitor their attitudes. With the help of artificial intelligence, you can understand if they compare the prices or the ingredients.

Sincerelly,

Provost, F., & Fawcett, T. (2013). Data science and its relationship to big data and data-driven decision making. Big data, 1(1), 51-59.

Data science methodologies can explore historical, make comparisons to competition, analyze the market, and ultimately, make recommendations of when and where your product or services will sell best. This can help a company understand how their product helps others and, as needed, question existing business processes.

This constant analysis and reflection using data science provides a deep understanding of the market’s response to your company’s products and services. By taking a hard look at how your product is being used the most, you can rethink your model to ensure you’re offering the solutions that your customers need.

Data science is a field of growing importance for all aspects of business. My special interest is on Natural Language Processing because more than 90% of our knowledge exists in unstructured text like websites, patents and papers. The amount of text is exponentially growing, so without intelligent methods and tools we have no chance to take advantage from the knowledge hidden in the text.

Dear, Bayo Olushola Omoyiola

Very interesting question