Big data analytics

Knowledge Base

Big data analytics - Glossary

Big data analytics is the process of examining large and varied data sets—commonly referred to as big data—to uncover hidden patterns unknown correlations market trends and customer preferences. It's like being a detective in the digital world where every clue leads to valuable insights. Imagine a bustling city where every action from a click on a website to a purchase at a store generates data. Big data analytics sifts through all this information to provide businesses with insights they never knew they needed. For instance online streaming services utilize big data to analyze viewer preferences allowing them to recommend the next show you're likely to binge-watch. By making sense of vast amounts of data companies can refine their strategies boost efficiency and enhance customer experiences turning every bit of information into a building block for future growth.
What is big data analytics and why is it important?
How do companies use big data analytics to improve customer experiences?
Can big data analytics help businesses become more efficient?
What are some examples of industries that benefit from big data analytics?