Big data is one of the most powerful modern technology trends in business today and is revolutionizing how businesses worldwide operate. The term describes working with extremely large volumes of data that is generated at high speeds and come in various forms. Data is growing at such a fast rate that currently, 2.5 quintillion bytes of data are created each day.
The growth of big data is still relatively new, and as a business practice, most still struggle to gain insights or value from the data they access. In order to stay competitive, businesses will have to take advantage of this technology by hiring experts in this field. According to the U.S. Bureau of Labor Statistics, the number of jobs requiring Data Science skills are expected to rise by 27.9% by 2026. This makes it one of the most promising careers to begin. Learn more about how to study for a Master of Data Science online.
In this article, we will look at how big data is changing how we do business.
Marketing
Understanding customer behavior is crucial to any business’s success. Businesses can use big data analytics to help predict consumer habits and behavior with greater accuracy, enabling them to better meet customer needs and wants through customized marketing campaigns.
Organizations can glean data-driven insights by interpreting data about their customer base, such as spending patterns, age and income level, to predict the total worth to a business of a customer or the ‘customer lifetime value.’
Better Content
For any business, getting its message to the right person at the right time can be the key to more customers and higher profits.
Big data analytics is an invaluable tool when it comes to delivering timely content that the customer consumes. Data-driven insights can help businesses create a more efficient content strategy by using metrics such as engagement rates, time-on-page and social shares to improve their conversion rates.
Cybersecurity
Big data can help businesses to reduce operational risk and the potential for data breaches and cyber-attacks.
In combination with big data analytics, machine learning can be used to examine past data to identify irregularities and potential risks. Big data can help create cybercrime detection techniques by flagging issues outside certain parameters allowing any deviations to be detected and resolved quickly.
Businesses successfully use big data biometrics to identify and counter fraud risks by collecting data such as fingerprints, facial patterns, voice and typing cadence. Its ability to protect your business data is clearly impressive.
Customer Service
Artificial intelligence, in combination with big data, is helping to change the way businesses interact with their customers.
Customer queries and concerns can be addressed around the clock by virtual assistants through chatbots. By learning the main issues customers require help with, businesses can improve their service by training their customer service staff to resolve such queries and more readily providing the information their customers need.
The growth of big data will undoubtedly continue to transform how we do business.
