Managing projects
AA: When it comes to project management, how different is managing data analytics projects from managing traditional IT projects?
AD: That’s a good one.
Data is a totally different beast. It’s got a very long life cycle, so you should never handle data like a technology asset. They simply don’t have the same life cycle. Technology assets are really short-lived. Data life cycles are really long. They’ll be here longer than you and I! That’s the first thing.
The second thing is that data requirements should be considered from the start. Traditionally, they're not. People forget it, and then at the end, they say, “Oh. We forgot to scope the data and get the requirements. The application/platform is sitting there, and there’s no data in it.” When you’re anchoring data into your organization as a data leader, one of the areas you need to anchor into is the software development life cycle (SDLC...