Spanning across campuses, schools, colleges, and programs globally, New York University (NYU) wanted to ensure that all data users access data through a single data hub in a self-service manner while also equipping the Central IT, Enterprise Data Management (EDM) department with tools to enable data security, role-based access controls, oversight, and governance. 

Self-service was a pivotal theme from the beginning. Satya Kunta, Chief Data Architect & Senior Director at NYU, along with his team set the goal to empower both business & technical users to independently access the data without needing direct assistance from data/IT expert staff thereby promoting data exploration and discovery.

Moreover, the team aimed to simplify the process of information exchange across schools & departments, while maintaining data governance standards.

In this webinar, Satya will offer a business-centric view of this journey toward self-service data by implementing a data virtualization solution.

Key aspects that will be covered in this webinar:

• Traditional Data Access vs. Data Virtualization: An exploration of what data virtualization is and the value it provides, especially when compared to traditional data access approaches
• CRM Use Case: Satya will delve into a specific use case where structured data management & delivery were enabled through data virtualization
• Lessons Learned: Satya will share the specific challenges encountered on this journey and how he and his team overcame them
• The meaning of enabling self-service: Beyond independent data access, fostering a culture that values data literacy is essential for effectively supporting self-service
• Future of NYU’s Data Virtualization Expedition: Insights into upcoming projects that Satya and his team are exploring within their new data landscape, including cloud-based virtualization and advanced analytics integration