Over the last twenty years, the analytics landscape has evolved dramatically but one fundamental truth remains: organizations still struggle to translate data into meaningful action. In today’s AI-augmented environment, the challenge isn’t accessing data-—it’s determining which insights actually matter and how to implement them effectively within your organization.

Given the time and expense associated with implementing a large-scale solution, it’s worth considering whether building small programs around specific problems and then scaling up is the right approach for your organization.