Malcolm Hawker

Malcolm Hawker, Chief Data Officer at Profisee, shares insights from his diverse background in product management and data governance. He emphasizes the need for communication and education in data management. The chat dives into the impact of generative AI on data governance, highlighting actionable strategies for integration. They also critique data mesh architecture, questioning its decentralized approach. Ultimately, they explore how CDOs can quantify data value and foster a strong data culture within organizations.

Malcolm Hawker, Head of Data Strategy for Profisee and a Forbes contributor, dives deep into Master Data Management (MDM) and Data Governance. He discusses the future of MDM and its crucial role in optimizing supply chains and enhancing customer experiences in a post-pandemic world. Malcolm reflects on his decade at AOL during its rise and fall, sharing personal insights from that chaotic tech boom. He also defines MDM and its components, emphasizing the need for effective data governance amidst the AI revolution.

Malcolm Hawker, the leading authority on MDM, shares insights on successful MDM implementation, including the importance of operational vs analytical MDM styles, agile MDM solutions, and the role of MDM as the connective tissue for modern organizations. The podcast also covers upcoming data events and conferences, emphasizing the need for clear business cases and breaking data silos for successful MDM outcomes.

Malcolm Hawker, CDO of Profisee, dives deep into the sustainability challenges linked to data management. He delves into the growing issue of dark data and its environmental impact. The discussion highlights the significant greenhouse gas emissions from data centers and urges data leaders to rethink data hoarding. By integrating ESG factors and improving governance practices, organizations can enhance sustainability. Malcolm provides practical steps for making data management more eco-friendly, emphasizing the vital role of data leaders in reducing their carbon footprint.

Sanjeev Mohan, a leading data expert, joins Malcolm Hawker and Lulit Tesfaye, a specialist in data and business applications, to discuss the significance of the semantic layer. They explore how this layer enhances data accuracy, particularly in AI and ML contexts. The conversation highlights its role as a bridge between technical data and business applications, emphasizing the need for organizations to adopt it. Real-world applications from companies like Deutsche Telecom showcase its practical benefits, paving the way for improved data management strategies.