Domino for Chief Data & Analytics ExecutivesDrive Innovation and Competitive Advantage with Data Science
If you're like most CDOs, CDAOs, and other senior executives, you are increasingly challenged to foster a data culture that creates innovation and competitive advantage. Over 90% of CDOs point to ‘culture’ as the greatest impediment to data and analytics success. Retaining top talent, building customer trust, and accelerating revenue are harder with outdated technology, decisions based solely on intuition, and poorly governed data science.
Domino scales data science and its value with a centralized, modern platform that data scientists love and IT administrators trust. The result? Data science is unleashed to deliver transformative value across your organization and to your customers.
Modern Platform for Top Talent
Engage your data science experts with the cutting-edge tools and infrastructure they need to do their best work.
Less Risk from Better Compliance
Ensure customer trust and regulatory compliance with consistent processes, centralized infrastructure, and limited access to sensitive data.
Greater Impact from Data Science
Increase the volume and quality of data science models that inform new offerings, improve customer experiences, and increase profit.
“The Domino platform is at the core of our modern data science environment, which has helped maximize the efficiency, productivity, and output of our data science teams, helping us drive innovation in support of our customers’ mission.”
Chief Data & Analytics Officer for Enterprise Operations
Building a Winning AI Offense
Learn what CDOs/CDAOs say about:
- Shifting from defensive to offensive roles
- Leadership’s expectations vs. resources
- Overcoming data science talent gaps
Janssen Boosting Health Outcomes with Data Science
Dr. Najat Khan, Chief Data Science Officer at Janssen, talks about the impact of data science on improving outcomes for patients.
Accelerating Machine Learning Model Velocity
Learn what you can do to maximize the ROI of machine learning, optimize your data science infrastructure, reduce risk, and become a model-driven business.