In today’s world, data is being generated at a rapid pace, especially as enterprises across virtually every industry undergo digital transformation. We’re also seeing unprecedented demand to equip every business decision maker with access to real-time data so that they can make the best-informed decisions for the business. More than ever, global companies are dispersing virtual teams across the world, empowering them with the ability and tooling to make informed business decisions using all available data. For instance, retailers seek to make purchasing recommendations not just on past purchases and browsing history, but by using all publicly available information about the customer, such as their profession and employer, their viewing and listening interests, sports and hobbies, travel patterns and restaurants frequented. But providing this holistic view of the customer requires bringing a variety of data from a multitude of sources together, and managing and analyzing that data at scale can be challenging.
In order to make data actionable and useful for business, companies need a way to store, label, and analyze it in an efficient and cost-effective way. Enter the data warehouse.