Data Architectures Are Changing
Operations are continuous in most organizations today and so too is the data these operations generate. For example, shopping happens all the time, during the hours a store is open and 24 hours a day at online retail sites. Goods are out for delivery around the clock until they arrive at their destination. Insurance coverage typically is continuous, not just at particular times of the day, week or month. And whether online, over the phone or in person, customer service happens at any hour of the day.
However, data architectures typically are designed around batch processes, an approach that can lead to issues. Only half (49%) of organizations participating in our Internet of Things benchmark research said they can track events and trends well. The data management market has evolved, but much of the focus has been on the volume of data rather than its frequency.