Trusted master data without enterprise MDM theater.
The quiet failure mode
Analytics and AI projects don’t usually fail on models. They fail on conflicting customers, products, suppliers, and codes across systems.
- Customers
- Products
- Suppliers
- Codes
What “dirty master data” looks like in a mid-size company
- Duplicate accounts in CRM
- SKUs that don’t match ERP
- Vendor names that don’t match accounts payable
- Every team with its own spreadsheet of truth
Why mid-size companies skip MDM
- The problem isn’t labeled “MDM”
- There is no data steward or owner
- Hub projects feel too heavy
- Excel and CRM cleanup feel good enough
- Price is only one barrier
What MDM actually is
In thirty seconds: one governed golden record for the core entities the business runs on — customer, product, supplier, and the rest — with clear ownership, quality rules, and sync into the systems people already use.
Not another dashboard.
Why it matters more now
Every BI dashboard and AI pilot amplifies whatever master data you have.
- Bad identity in.
- Confident nonsense out.
The barrier-of-entry problem
Classic MDM was built for global enterprises: long programs, big suites, specialist teams. Mid-market needs the outcome, not the theater.
BizTech’s offer
A right-sized MDM product — self-host when you’re ready — plus BizTech for modeling, implementation, stewardship, and the data/AI work that follows.
How we lower the barrier
- Start with one high-pain domain
- Straightforward licensing priced for mid-market, not an enterprise suite tax
- A clear outcome on one domain in weeks or months, not a multi-year enterprise program
- We carry the complexity so your team doesn’t need an MDM department
Who it’s for
Growing organizations — especially those under about 1,000 people — with CRM and ERP sprawl, or something like it. An analytics or AI investment is coming. There is no appetite for a two-year enterprise program.
Built for operators who need clean data before AI
There is no logo wall on this page, and no case-study count. If you need clean master data before an analytics or AI investment, the next step is a working session or a one-domain readiness check.
Book a working session.
Or start with a one-domain readiness check.
BizTech Consulting — implementation for master data, and for the analytics and AI work that depends on it.