Like any pipeline process, analytics development is subject to bottlenecks, which lengthen the cycle time of developing new analytics and prevent the team from responding quickly to requests.
This white paper applies the Theory of Constraints (ToC) to data analytics development to explore common bottlenecks. It also proposes approaches to identifying the bottleneck that most adversely impacts business colleagues who rely on analytics.