Analyst report
A Blueprint for Modern Data Science
Data science teams have long relied on R, Python, and open-source innovation to deliver insights. But many work in silos, with disconnected workflows and limited oversight—slowing delivery and increasing risk.
This BARC Spotlight report examines why the next stage of maturity for enterprise data science requires integrating open-source flexibility with centralized security, governance, and collaboration.
What you’ll learn
• How to streamline model development and deployment while staying audit-ready
• Practical approaches to embedding governance without slowing innovation
• Ways to cut costs and reduce risk by standardizing workflows
• Lessons from a global financial services firm that built trust and speed into its credit risk modeling process
Who this report is for
Chief Data Officers, IT leaders, and analytics executives in highly regulated sectors who are balancing speed, security, and ROI in their AI and data science strategies.
What you’ll learn
• How to streamline model development and deployment while staying audit-ready
• Practical approaches to embedding governance without slowing innovation
• Ways to cut costs and reduce risk by standardizing workflows
• Lessons from a global financial services firm that built trust and speed into its credit risk modeling process
Who this report is for
Chief Data Officers, IT leaders, and analytics executives in highly regulated sectors who are balancing speed, security, and ROI in their AI and data science strategies.
