data-centralization

By:
Aimee Pagano
May 17th, 2023
You buy a mystery jigsaw puzzle with 1000 pieces. About 200 are hidden in the couch. 500 are "somewhere" in the basement. And 300 have been chewed to annihilation by your puppy.
This is pretty much how it goes when associations run off of disparate data and martech stacks. All clues remain a mystery. All insights into their members, their prospects, and their futures are lost. They have disjointed pictures and unintelligible stories about their audiences.
Consolidating data and finding that single source of truth can be tricky. Luckily Spark has a solid and evolving solution to mapping your data across your entire stack.