Breakfast briefing - Managing capacity and expectations in the analytics pipeline
When analytics start to get adopted by an organisation, demand for product - as models, answers to queries or other outputs - can start to escalate, As a result, the analytics function can begin to struggle with capacity and meeting those demands.
So what is a sensible and acceptable approach to filtering those incoming queries? How do you maintain the momentum of transforming the enterprise towards forecasted demand, model-based processes and data-driven operations without alienating lines of business who can not get to the head of the queue? Is there a solution which ensures everybody gets a little bit of the magic sauce?
In this facilitated discussion, led by David Reed, knowledge and strategy director of DataIQ, Paul Ravenscroft will share his experience of how to parcel out the resoures of an in-demand analytics team and arbitrate between competing demands. An opportunity to learn from real-world delivery and to share challenges and solutions with a peer group.
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