Dan Cummings

Founded a consulting firm to help companies with incomplete analytics data, aiming for real-time insights to improve decision-making and agility. Initial client focus on paid media optimization, marketing attribution, customer insights, anomaly detection, and reducing speed to insight.

Saved over $10MM annually via cost reduction in technologies and focus on replicability and automation. Transformed data collection strategies to reduce complexity by over 90%, making schema vendor-agnostic and scalable within the organization. Owned and governed Digital Product Customer Analytics on mobile app, web, and in-store kiosks for over 30K locations globally.

Managed tech enablement tools for automotive, healthcare, government, non-profit sectors totaling $25MM+ in software contracts. Led implementation and enhancement of digital analytics and multi-channel marketing technologies for 5+ vendors across multiple business sectors.

Launched the digital data integration to proprietary marketing mix optimization model used by 20+ clients across entertainment, media, sports, automotive, and CPG sectors including multiple Fortune 100 companies. Streamlined and transitioned digital marketing inputs to Ignite models, reducing cost of ownership and improving reporting efficacy.

Owned and evolved performance reporting for Top 5 educational content publishing and services company. Optimized digital products and online student content engagement for over five student-facing brands globally.

Reduced labor costs by 75% via digitization and automation of federally mandated reporting practices for the 8th-largest urban area in the US. Lead predictive analytics projects to improve response times for police, improve accuracy for investigation and demand projection.

Master of Science in Justice and Public Policy from American University.

Bachelor of Science in Sociology and Bachelor of Science in Crime, Law, and Justice from Penn State University.