What’s Going Wrong?
Four systems hold your data. Then reporting needs it, so four connections get built. Then the agents need it, so four more. Then the notebooks, so another four.
Twelve pieces of plumbing, each maintained separately. Nobody planned this. Each connection was the fastest way to finish that particular project.
Maintained Separately
12 Integrations
4 sources · 3 consumers
What’s Going Wrong?
SAP renames a field. Nobody flagged it, because nobody could tell in advance what depended on it.
Three pipelines fail overnight. And because the same customer logic was written separately into each one, fixing it means four changes in four places across three teams.
3 Pipelines Failed
3 Downstream Pipelines
Pipeline Owner Defines Customer StatusFailed
agent feed platform ownSQLFailed
churn model data science ownSQLFailed
one change · three fixes · three teams
What’s Going Wrong?
Those three fixes exist because the logic was written three times. And it was written three times because each project rebuilt the same foundation from scratch.
Connect the sources, dedupe the records, define what a customer is, build the pipeline. Thirteen months of that, then one month delivering the use case someone actually asked for. The fourth project starts next quarter, and it will do all of it again.
14 Months
based on last 3 project timelines.
connect · dedupe · define · build
use-case
How We Close the gap
Master Data Management is the foundation the other three projects kept rebuilding. Each source connects once, records resolve at the point of write, and the definition of a customer lives in one place rather than in every pipeline that needs one.
Every accelerator runs on that same layer, natively inside your own environment. Lineage covers every field, so the blast radius of a change is known before you make it, and the next project starts from the foundation rather than rebuilding it.
6 Weeks
