Data can pave the way to successful business transformation, but only when the data strategy is focused on end-user adoption. Data accessibility, enterprise data literacy and data trust are all essential elements in developing a thriving data culture. Hear how one company is experiencing success in this inspiring Q&A webinar.
You’ll see how VOSKER aligned data investments with business strategy, implemented practical and innovative approaches such as the development of a data supermarket and leveraged erwin® Data Intelligence by Quest® to move their organization forward with data.
In their firsthand account, VOSKER will share their journey of delivering internal data marketplace capabilities to their employees to:
- Ease data discovery and accessibility
- Raise data understanding and overall data literacy
- Build data trust and encourage data usage
Don’t miss this opportunity to learn from the real-world experience of an erwin by Quest customer.
About your speakers:
Stephane Giovannoni leads governance and data architecture at VOSKER, a leading provider of innovative remote monitoring solutions that was honored as part of the Canada-based 2023 Technology Fast 50. Prior to VOSKER, Stephane led AI and other data initiatives for the National Bank of Canada for nearly 15 years. Stephane is a graduate of Polytech Marseille and based in Montreal, Quebec.
Susan Laine is a data thought leader and chief field technologist for the erwin Data Intelligence product line. She has more than 20 years of experience working with metadata on the buy side as a customer and the sell side as a vendor, including implementation, showcasing and program support. She has worked to structure and drive enterprise data management programs. Additionally, Sue has extensive support experience in sustaining these initiatives within organizations across all industries. Sue is responsible for launching and guiding the superior data modeling and data intelligence technology erwin by Quest provides to deliver excellent value for today's challenging business demands.