Data today is spread everywhere in organization, the rate at which data is incoming into an organization is increasing at a very rapid rate, with various touch points to collect data. Technology is also evolving at a rapid pace, so it has/is becoming very important for organizations to streamline data ingestion and catalog them appropriately. With Data strategy being closely tied with Business strategy, it has become very critical to deliver Business value effectively and quickly. In the past years there was a traditional approach being followed for data management. In this approach there were long lead times and the end product delivered was either late or did not meet the requirements. Fast Forward we are now in the age of agile delivery, devops, Continuous deployment and Integration. In the agile world the focus is to deliver incremental business value incrementally. How do we tackle data projects in the agile world, it is not cut and dry in the data world, there are lot of dependencies both on source systems, also there are provisioning systems that need data within SLA's. In order to address some of these challenges, there some key points that can be incorporated plus make use of tools that incorporate AI techniques.
2. Leaders/Business partners should provide framework, remove roadblocks, runways that would help an organization adopt Agile. There should be a mindset to tear down methods that wouldn't work in a modern enterprise, both business/technology should come closer together to deliver solutions.