Patrick Jacolenne's Linkedin Analytics

We're building a new category of data governance that is distinct from traditional cataloging and management solutions and solving a 100-year-old problem in the data space. I really couldn't be more excited for what the next few years bring. Let's talk about a problem that's been plaguing businesses for far too long: Inefficient data organizations and outdated governance programs With the rapid evolution of the business landscape, traditional organizational structures and data governance models are outdated and hinder businesses from achieving their full potential. It’s time to rethink your approach to data: Too much time is spent on non-value-added data assets draining productivity and impacting the bottom line. Instead, businesses must adopt a strategic framework that focuses on value-driven data governance. Every company not only needs to have a data strategy but also a data value assessment model across differing dimensions, such as: 1. Financial: Does the data drive existing product / service revenue growth or create direct cost savings? 2. Competitiveness: Will the data improve our ability to deliver quality, differentiated and relevant service(s)? At the helm of CoComply.ai, my passion for data and AI governance has led to the creation of transformative solutions leveraging Generative AI. The journey during my time in industry and as the founder of DataLogIQ 360 has honed our expertise in data regulation and monetization, and the advancement of data certification standards. This strategic vision is propelling us toward creating marketing defining data and AI governance solutions that empower organizations to maximize their data's potential.