#69 - CDO's, Data Governance & Master Data Management with Malcolm Hawker
Thomas Bustos
AI Engineer | Data&AI Consultant at EY | "Let's Talk AI" Podcast Host
Are you curious about C-level vision on data & AI strategy? About Data Governance and MDM? Measuring value of MDM solutions? If the answer of all this questions are YES, then go to the episode right now.
I had an amazing time learning from Malcolm Hawker , thanks again for coming on the show.
??? Who is Malcolm Hawker?
Malcolm Hawker is the Head of Data Strategy at Profisee | Data Management. With over 25 years of experience in data and analytics, Malcolm is a recognized thought leader and advisor in the field of Master Data Management (MDM) and Data Governance. He has helped some of the world's largest businesses to improve their enterprise information management strategies and is passionate about sharing practical and actionable insights on how to leverage data as a strategic asset. Malcolm hosts the CDO Matters podcast where he interviews senior data leaders from various industries and domains and aims to raise the awareness and value of MDM and Data Governance globally, empowering companies with the best practices and solutions to overcome their data quality challenges and achieve their business goals.
?? In this episode...
... we discuss the challenges and strategies for Chief Data Officers in building valuable data-driven products, quantifying the value of data and analytics, and improving data quality. We also explores the relationship between CIOs and CDOs, challenges in implementing Master Data Management (MDM), and the importance of data governance policies. Malcom emphasizes the role of governance in driving business success and measuring the effectiveness of data-driven decisions, as well as the limitations of marketing attribution models and effective use of MDM in AI implementation.
Our conversation include the following topics
1. The value of data is one of the first things to measure to demonstrate credibility and success of CDO and Data department in organizations.
2. Improving data quality and processes can lead to better results and a more efficient sales organization.
3. Companies need a single version of the truth to serve both functional and executive needs when it comes to managing customer data.
4. Educating and speaking with leadership about the benefits of implementing an MDM is important to get everyone on board.
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5. Governance programs can ensure that everyone is on the same page regarding data handling and control.
6. Wearable technology can track the influence of personal interactions on sales, making it a powerful tool for marketing and sales.
7. MDM can be used in two ways: analytically and operationally, where one version of the truth is created and used to optimize business processes and fuel AI-driven processes.
8. Structured data is crucial for competitive analysis and other complex AI tasks, and converting unstructured data into structured data is a short-term opportunity for "Gen AI".
?? Listen to this episode now!
??? Podcast ?? https://smartlink.ausha.co/let-s-talk-ai/
?? Youtube ?? https://www.youtube.com/@lets-talk-ai
Keep learning, keep creating, keep building, and let's have a positive impact!
Warm regards,
Thomas
AI Engineer | Data&AI Consultant at EY | "Let's Talk AI" Podcast Host
5 个月??? Podcast ?? https://smartlink.ausha.co/let-s-talk-ai/ ?? Youtube ?? https://www.youtube.com/@lets-talk-ai
CDO | CDO Matters Podcast Host | Conference Speaker | Thought Leader
5 个月Thank you so much for having me as a guest! Profisee