The process of ensuring that data is usable, accessible, and safe is referred to as data governance. Improved data analytics lead to better decision making and operational assistance when data governance is implemented effectively. It also aids in the elimination of data discrepancies or inaccuracies, which can result in issues of integrity, poor decision making, and a range of organizational challenges. In this episode, our guest, Bin Mu, Chief Data and Analytics Officer at Adobe, discusses what data governance will look like in the future, how the system answers the demands of businesses when making judgments, and how this system helps professionals make better decisions on a daily basis.

📌Key Takeaways
✔️Creating a design for data governance in order to make it a simple procedure that is integrated into regular tasks.
✔️Making Data Governance accommodate the needs of businesses in making decisions
✔️Analyze the data quality to aid the system's analysis, resulting in improved conclusions.
✔️Professional decision-making is being improved through the use of a modern data governance framework.

📌Quote Takeaways in this Episode

📣“We want to bring the data governance front and center and not make it an afterthought in a process, incorporating it in the daily operations” - Bin

📌The Speakers in This Episode

🎙️Rigvinath (Rigvi) Chevala | Profile
Chief Technology Officer, Evalueserve
www.evalueserve.com

🎙️Erin Pearson | Linkedin
Director GTM, Evalueserve
www.evalueserve.com

🎙️Bin Mu | Linkedin
VP, Data & Analytics at Adobe
www.adobe.com

📌Time Stamp
⌛[00:00] Introduction
⌛[00:56] Automated Data Governance
⌛[06:09] Putting it into place
⌛[11:02] Data Governance in B2B
⌛[13:02] Data Quality
⌛[21:59] Takeaways

This Episode was produced by Heartcast Media