That "quick question" over Slack? Yeah, that's probably not the highest value your analytics team can deliver.
In this episode I talk with Elizabeth Press (Head of Business Intelligence at Gymondo) about using DataOps to make analytics work more efficient, reliable and valuable.
Key takeaways:
- With DataOps, we want to move away from "quick questions" over Slack and piles of ad-hoc requests or self-inflicted "emergencies". It all starts with gaining an overview of our tasks and projects (for example with a Kanban board) and establishing healthy communication patterns.
- We can use product thinking or design thinking to understand customer needs and context. The task of the data or analytics team is then to design good solutions.
- It's important to measure the quality of our work as data or analytics team. How much value are we delivering, how much are we held back by fixing broken systems?
- Analysts are the face of the data organization. Their strength is in understanding the data, the customer needs and context, and then telling effective stories to drive better decisions.
Find Elizabeth and Valentin on LinkedIn.
