So you’ve adopted a modern data stack. But is your data stack truly automated? Or is it complex and fragmented?
You may have all the components of your stack in place, but that doesn’t mean it works well together. And in a time when it’s more important than ever to demonstrate ROI and get value out of your data, you need a data analytics stack that solves problems instead of creating new ones. Here are a few of the challenges you might be facing in your data stack today:
Automation can overcome these challenges. Yet automation is often missing from the data stack. In this Ventana Research perspective, see how you can better leverage automation in your analytics architecture for a data stack that works the way it should: seamlessly.