Nowadays, data is everywhere. It is a commodity of incalculable value. Almost everything you do results in the creation of new data. For example, when you withdraw money from a bank, data is created and stored. Similarly, when you visit a website, you create data that Google and other third-party companies can store and use.
As the era of big data kicks into high gear, businesses and organizations are now more focused on how they can leverage the data to gain a competitive advantage. This has, in turn, powered the popularity of data science tools - specifically the concepts of analytics and visualization. Despite hearing these words on every street corner in major cities, some business owners are still in the dark about what they actually are and how they can use them to grow their entities. If you're among them, don't worry, this definitive guide outlining the differences between data analytics and data visualization will help shed light on how to use them to improve your company.