The DRIVE Index Diagnostic maps exactly where data trust, KPI ownership, and decision authority are breaking down in your operation — and what to fix first.
Book Your Diagnostic CallYou have ERP. You have MES. Maybe Power BI or a similar visualization layer. The dashboards exist. The data is flowing.
But walk out to the plant floor and watch what actually happens when a production call needs to be made.
Someone pulls up a spreadsheet they maintain themselves. A supervisor says "I don't trust that number" and reaches for the phone. A cross-functional meeting gets scheduled because the MES and the ERP are showing different inventory positions. The decision that should take 20 minutes takes three days, or doesn't get made at all.
This is not a failure of your technology investment. This is a failure of the data environment underneath it.
Most manufacturers who go through digital transformation focus on the systems. They don't focus on the trust, ownership, and decision-authority layer that makes those systems usable. So the investment runs, but the ROI doesn't arrive.
The gap between what your data says and what your operations team acts on is the most expensive invisible cost in your business.
Every production meeting opens with "which number are we using?" Ten minutes later, you're still reconciling instead of deciding. The line keeps running.
A KPI breaks threshold at 2pm. By 4pm, three people have seen the alert. None made the call. By the time someone with authority shows up, you've burned another $40K in rework.
You built the dashboards. Nobody uses them. The system has been wrong enough times that acting on it feels like career risk, so the floor defaults to gut feel and personal spreadsheets.
Leadership wants to know where the return is on the $2M MES investment. The data chaos, ownership gaps, and decision delays are bleeding the value before anyone can measure it.
One team made decisions. The rest are still holding meetings.
At a large F&B manufacturer, one quality team did the foundational work: validated every data input, resolved measurement errors, and built a risk-modeling system on top of data they could actually trust. The result was a clear decision process, presented monthly to the executive leadership team, with plant managers held accountable to a single version of the data.
Every other department in the same facility skipped that foundation. They assumed the data was reliable. The floor had quietly stopped trusting it. Nobody said so out loud because acting on bad data had become the norm.
Same company. Same systems. One team made decisions. The rest are still holding meetings.
What this pattern looks like across manufacturing operations:
This is not a technology audit or a software implementation review. It is a structured diagnostic that maps five dimensions of data readiness across your operation: Decision authority, Reliability, Integration quality, Velocity of insight, and Engagement of the operating team.
You leave with a clear picture of where the gaps are, what they are costing you, and a prioritized roadmap for closing them, without ripping out the systems you have already invested in.
After booking, you will receive a short questionnaire covering your current systems stack, your most critical operational KPIs, and where you believe decision-making is most delayed. Zero time wasted on context-setting during the session.
A structured diagnostic conversation walking through the five dimensions of data readiness in your operation. Direct questions about how decisions are made, who owns which numbers, and where the floor and the system disagree. Backed by 8 years of experience doing this from the inside at a Fortune 500 manufacturer.
A clear picture of your data environment's weak points, an estimated cost impact, and a prioritized roadmap. Whether you engage GLA to fix what we find or not, you will know exactly what is broken and what to fix first.
60 minutes. One-on-one with Stephen. Walk away knowing exactly where your data trust is breaking down and what to fix first.
P.S. The diagnostic is a complete deliverable on its own. The Data Trust Report and prioritized roadmap is specific to your operation. If you move forward with a full DRIVE Index engagement, the $1,500 fee is credited toward it. Either way, you leave knowing exactly what is broken and what to fix first.
Structured diagnostic scoped to your operating environment or business unit. Surfaces exactly where data confidence breaks, what to address first, and aligns your leadership team on priorities before the engagement closes.
Installs the ownership structure and decision cadence that makes your data investment perform. Runs directly from your DRIVE findings across three facilitated sessions.
Ongoing strategic access. DRIVE score tracking, quarterly re-assessment, and a thinking partner when decisions get hard.
Fixed fee. Predefined scope. No surprises.
Founder, Great Lakes Analytics
Stephen Gnidovec designs data trust architecture for manufacturers where digital capability has to perform under real operating conditions. After years inside complex manufacturing and supply chain environments, he observed the same pattern repeatedly: the tools were right, the data was flowing, and the floor had quietly stopped trusting the numbers. Most implementations never address that layer.
He founded Great Lakes Analytics to close that gap. The DRIVE Index is the methodology built from that experience.
Stephen is the author of The Data Culture Handbook and teaches data analytics at Elmhurst University and SNHU.
The frameworks used in every engagement come from 8 years leading data transformation inside F&B manufacturing, including a Fortune 500 digital initiative run solo.
The Data Culture Handbook documents that methodology for leaders who need their data investments to stick, not just launch. It's the playbook. The engagements are how we install it in your operation.
A 60-minute structured diagnostic session with a Data Trust Report and Roadmap as deliverables. The $1,500 fee applies toward any full DRIVE Index engagement.
Book Your Diagnostic Call