Artificial intelligence, predictive analytics and other futuristic-sounding initiatives will go nowhere fast if you don't have reliable data. How do you stitch it all together to make your data future-proof? We will walk through best practices for laying a solid foundation with your data, including data architecture and change management that will let you find the right resources, establish and apply procedures that work, and get the support of your management. Hear about what works and what doesn't from those who have fought these battles.
- Understand the best ways to establish a successful data architecture
- Identify how to avoid common pitfalls
- Gain a better understanding of how data quality drives successful projects