Insight to Advantage: When Data Becomes Strategy
By Marc Sanderson
Most companies use data to explain results. The best use it to change them.
High performers don’t just ask, “What happened?” They ask, “What’s coming next and what do we do about it? They use context, leading indicators and disciplined decisions create an edge.
When I ran a mid-size millwork company, I could look at one number at the first of the month and predict—with remarkable accuracy—where profitability would land at month end. If that number was running at 60-70 percent, I knew we were positioned to hit our target. If it dropped to 30 percent, we had work to do—and time to intervene, recalibrate and protect profitability before the month was lost. The ultimate indicator was percentage of work released to the shop floor.
It sounds simple, but early signals lead to better moves. That’s the advantage: not more data, but using it to outperform. Here how companies turn insight into a strategic weapon:
ADVANTAGE 1:
Compare to Compete
Think of a scoreboard: If your team scores three goals, is that good? You don’t know until you see the other side: Did the opponent score zero or four goals? Your team’s number doesn’t change, but the meaning does.
Business works in the same way. A 42 percent win rate, a $5-million backlog, or an average wage all sound informative—until you compare them. When grounded in industry benchmarks, your strategy, or your targets, they either signal strength or expose risk.
One company believed it was performing well until it benchmarked against peers using industry tools and surveys. The comparison revealed they were underprepared for a downturn and misaligned on pricing. That insight changed their decisions immediately.
Without context, data is noise. With it, data becomes direction. This is why INNERGY offers industry benchmark reporting on both financial and operational performance in real-time – for free. (You can check it out here).
Here’s a look at the three lenses of context most often applied in business:
| Lens | What It Answers | When to Use It | What It Tells You | Risk If Used Alone |
|---|---|---|---|---|
| Industry Benchmarks | How do we compare to others? |
|
Where you stand relative to the market | Can drive wrong decisions if your strategy is different |
| Company Targets (Internal Benchmarks) |
Are we improving? |
|
Whether you’re getting better and hitting your plan | Can create complacency if targets are too low |
| Strategy Alignment | Are we winning at the game we chose? |
|
Whether your model is working as intended | Can justify poor performance if not grounded in reality |
The real advantage is using them together:
• Start with industry to understand the baseline.
• Track against targets to drive ongoing improvement.
• Adjust for your strategic focus to ensure relevance.
Takeaway: Benchmark your top 3 metrics across industry, internal targets and your strategic focus—then change one decision this week based on what you learn.
ADVANTAGE 2:
Move Up the Maturity Curve
Organizations want to use data better, but what does that look like? That’s where the data maturity curve comes in. It’s a simple way to understand how organizations evolve in their use of data—from reporting what happened to actually shaping what happens next and the impact they can have.
At the initial level, companies track results. More advanced organizations diagnose why those results occurred. The best go further—predicting what’s likely to happen and prescribing what to do about it.
A shop floor team began using real-time data to monitor workflow across stations and quickly spotted a pattern—work orders were stacking at one point in the process. Instead of waiting for delays to show up in missed deadlines, they acted immediately. They reallocated labor to the bottleneck, adjusted upstream inputs and workflow before it became a problem. The result was clear: lead times dropped, throughput increased, and the team avoided the typical cycle of firefighting.
Most companies operate at stage 1 or 2, but the real advantage comes when they can reach stage 4:
Stage 1: Descriptive → What happened?
Stage 2: Diagnostic → Why did it happen?
Stage 3: Predictive → What will happen?
Stage 4: Prescriptive → What should we do?
Descriptive data explains the past. Prescriptive data drives the future.
Takeaway: Pick one recurring problem, trace it from “what happened” to “why,” then define one leading signal to monitor and one action to take before it happens again—and review it weekly.
ADVANTAGE 3:
Shift from Lagging to Leading Indicators
How much time are you spending looking at lagging vs. leading indicators? In business, we naturally gravitate to lagging indicators, like EBITDA and revenue. Yet, these show history that you can’t change. Competitive advantage comes from leading indicators that show whether they’re on track and where to intervene.
A common example:
Rework or margin loss (lagging) → Percentage of work released to shop floor (leading)
When used correctly, leading indicators enable organizations to fix problems before they happen—turning unpredictable results into controlled outcomes. This is the leading indicator that predicted our profitability each month and I know it is the case for others.
At INNERGY, we have distilled down the “Perfect Release” to three elements: complete information, materials ready and time needed for the shop execute. When I survey CEOs and ask what happens if all three are consistently met, 64% say profitability would more than double. This shows the power of leading indicators—they don’t just improve operations, they make EBITDA more predictable.
Here’s a look at the leading indicators INNERGY’s insights have identified as the closest thing to a silver bullet in our industry and why they matter:
- Engineering Completeness at Release → Rework percentage, labor overruns
Most downstream problems are rooted in the office and engineering is the choke point. Quality assurance becomes critical and allows you to prevent issues prior to fabrication. - Material Readiness Before Production → On-time delivery, downtime
Missing materials stop everything. This is one of the fastest ways to improve flow. - Time for the Shop to Complete → Lead time, throughput
This exposes bottlenecks early, before delays show up. It allows you to make sure the floor has the time needed to complete, in the midst of interruptions.
Start with these three and you will uncover leverage in the organization that you did not know existed.
As teams and organizations mature, they hone in on leading indicators more often and with greater depth. The result is that they can tell in the short-term—daily, weekly or monthly— what’s working and what needs attention.
Takeaway: Audit your dashboard this week—identify your top lagging metrics, then assign one leading indicator to each and start reviewing it daily with your team.
ADVANTAGE 4:
Make Data Your Identity
Culture is the multiplier. You can install systems to drive data, but high-performing organizations need to go further. They embed data into identity to make data a mindset and a part of the culture:
- Individuals know how they impact the bigger picture
- Teams understand how they’re performing
- Leaders act consistently on insights
Everyone needs to understand data and keep score so they can assess and improve. Without this, data becomes passive and decisions revert to instinct.
A mid-sized millwork company had the right systems in place, but results were inconsistent because data stayed in dashboards—not in daily decisions. They shifted to a simple mindset: everyone keeps score. Operators tracked labor vs. estimate, team leads reviewed performance daily, and leaders acted on issues in real time. Within months, labor overruns dropped, rework declined, and margins stabilized. The system didn’t change—the behavior did.
Takeaway: Make data everyone’s job—define the score, show the impact and act on it daily.
Time to Act
At scale, companies don’t compete on effort. They compete on clarity of information, speed of decision-making and alignment of execution. Data drives all three.
That leads to the ultimate truth: Two companies can have the same people, the same strategy and the same market. But the one with better data discipline will win. Not occasionally. Systematically.