Three classic mistakes
- An overreached business team that tries to cut out IT from all or the majority of data management practices. In other words, data scientists on business teams trying to to turn "self service" to "complete control"
- An overgoverning IT team that tries to provide technologies and identify structured business practices on every step from data gathering, to processing to delivery.
- An overzealous PMO that tries to identify and label every part of the process and formally assign responsibility and decision making before the practice is in place and business value determined.
What's the Solution To Getting A Balanced Business and IT Data Organization?
Want to get started? See my related post on agile leadership practices to help data scientists.
But that's the start. There are some fundamental differences between software and data analytics that also contribute to the organizational discord. More to come!