How does your company handle data science and AI portfolio responsibility / P&L impact and ROI

Summary

Effectively organizing data science within companies is crucial for maximizing the impact and ROI of AI portfolios.

Organization of data science

The article advocates for a "Hub and Spoke" model, where a central team (the hub) is responsible for technical standards and support, while data scientists (the spokes) are embedded across various departments. This model enhances collaboration and ensures consistency in data projects.

Importance for the BI market

This organizational structure addresses the growing need for data-driven decision-making within companies. It enables BI professionals to better meet the demand for faster and more efficient data analysis. Competitors adopting a similar approach may gain a competitive advantage, making this model increasingly relevant in the BI market.

Concrete advice

A BI professional should consider exploring the implementation of the "Hub and Spoke" model within their organization. This can help increase the ROI of data science efforts and improve collaboration among different teams.