Learn how dbt adds data modeling and transformation to the modern data stack.

As a modern data leader, you know that real-time access to data-driven insights is key to driving higher levels of business growth and innovation, and better customer experiences. You also know that when frontline employees have easier access to data they’re able to make better decisions that ultimately boost your bottom line. But what happens when employees don’t trust the data in front of them?

In 2020, the pandemic tested supply chains in a manner few have seen in our lifetimes, with businesses like Apple struggling to predict demand and keep factory lines moving. The weaknesses exposed by this crisis are not brand new, but they should be a wake-up call that current strategies are not sustainable. The limitations of modern supply chains were becoming apparent last year when companies struggled to react to new tariffs and restrictions caused by Brexit and the U.S.-China trade war.

The connected reality of gadgets presented by the Internet of Things (IoT) can no longer be considered as just a buzz as it has already transformed our living to a great extent. The connected things made our homes, workplaces, and transportation smarter. No wonder IoT apps are now one of the most popular app categories. As the latest statistics reveal, the global market share of IoT apps is expected to touch a whopping 520 billion USD by the end of 2021.