Great digital solutions fail
before they ever scale
The constraint isn't the platform. It's unresolved Data Trust.
Great Lakes Analytics works with enterprise solution providers to surface structural data risk that undermines adoption, delivery confidence, and client outcomes.
Most deployment issues don't begin in deployment.
The real constraint usually lives much earlier
Unresolved data trust issues upstream show up later as missed timelines, stakeholder tension, and adoption friction.
We examine those constraints before they compound.
What Actually Causes Digital Solutions to Stall
Most digital solutions don’t fail because the technology is wrong. They stall because the environment isn’t ready.
Data lives in too many places. Ownership is unclear. Business definitions are misaligned. Trust breaks between systems.
The Data Trust Index™ surfaces where those structural breakdowns exist, before delivery momentum is lost.
It does not replace your tools. It evaluates whether the surrounding environment can support real-world use.
Even strong solutions struggle in unprepared environments.
The Data Trust Index™ was shaped inside complex operating environments where digital solutions were expected to perform, not just launch.
That experience is documented in The Data Culture Handbook, written for leaders responsible for delivering capability into messy, real-world conditions.
The focus isn’t the tool.
It’s the structural conditions around it.
Because adoption depends on more than technology.
Our Sequence
Understand the environment
We examine how data actually moves across systems, where ownership is unclear, and where trust quietly breaks down in day-to-day use.Identify what blocks adoption
Digital solutions assume clean, aligned data. We surface where those assumptions collide with production reality, and where adoption stalls as a result.Reduce delivery risk
Earlier visibility into structural risk increases the probability that delivery holds, timelines stabilize, escalations decrease, and value reaches the end client.
Where This Typically Emerges
Strong digital solutions begin to slow once real client data enters the system.
Gaps appear that weren’t visible during design.
Ownership questions surface mid-implementation.
Multiple “sources of truth” compete.
Hand-offs become friction points.
Sometimes teams have seen this before and want to prevent a repeat.
Other times it only becomes visible once delivery is underway.
The objective is simple:
Surface structural risk early enough that delivery remains intact and value reaches the end client.