Data Strategy & Architecture Principles

When we think about data strategy and architecture, we live by these principles:

What does that mean? 

• That the strategy is platform agnostic and not married to any one vendor or tool. 

• It’s democratized, meaning it serves everyone (not just one business unit) 

• It positions CX as central! Otherwise, why do it? 

• It is extensible and global 

• It establishes foundational tools and systems as ready for additional business intelligence initiatives (that is, AI, Machine Learning, and Data Science) 

• It drives toward getting to customer 360 (a 360-degree view of the customer), and toward “one view” of the customer (no separate siloes of data with varying information). 

Need help designing your data architecture? Reach out to us today for a quick chat!