Data modernization is quickly becoming a buzzworthy topic for experts focused on bridging the gap between modern needs and legacy systems, while also trying to wrangle exponentially more data with only a fraction more budget… but what does modernization actually mean to you, your team, and your organization? Is it something you should be exploring, and how do you determine where you’re at or should be, in your journey to modernization?
From collection, routing, and parsing, to integration, storage, and retrieval, modernization will require you to assess where you're at in the journey, determine the value of your data, and build a model for your organization. You'll also need to tie your initiatives to broader business goals so you can fund your modernization project.
In our session, we’ll show you:
- Models to measure the maturity of your architecture and engineering at each step in the data journey
- Strategies to determine which areas to address first
- Tools and techniques to de-risk the upgrade process