ImpactNOW™
Turn Unused Plant Data Into Measurable ROI in Weeks
A rapid, low-risk engagement that uncovers hidden losses, quantifies opportunities, and builds a data-driven business case before larger investments are made.
The Hidden Factory
Every manufacturing operation has losses that aren’t visible on production reports.
Losses caused by startup variability, product giveaway, process inefficiencies, equipment performance, quality deviations, and unplanned events are often buried within operational data and difficult to quantify using traditional reporting tools.
Individually, they may seem insignificant. Collectively, they can represent hundreds of thousands, or even millions of dollars in unrealized value every year.
The challenge isn’t that the data doesn’t exist. Most manufacturers already collect enormous amounts of operational data through historians, MES platforms, SCADA systems, PLCs, and plant-floor automation. The challenge is uncovering what that data is actually telling you.
ImpactNOW™ helps reveal the Hidden Factory by combining operational expertise, exploratory analytics, and machine learning to identify opportunities hidden within the data you already have.
What ImpactNOW Delivers
Reveal Hidden Losses: Identify sources of waste, variability, inefficiency, and performance constraints that traditional reporting often misses.- Quantify Financial Impact: Translate operational findings into measurable business value with a clear understanding of potential savings and improvement opportunities.
- Build Confidence: Provide evidence-based recommendations that help leadership determine where to focus and what actions will generate the greatest return.
- Create A Path Forward: Deliver a practical roadmap for optimization, analytics, automation, or broader operational improvement initiatives.
Reveal Hidden Losses: Identify sources of waste, variability, inefficiency, and performance constraints that traditional reporting often misses.How ImpactNOW Works
- On-Site Discovery: We work with your operations, engineering, and leadership teams to understand process challenges, business objectives, and potential areas of opportunity.
- Data Extraction: Operational data is gathered from existing historians, MES systems, control systems, and other available sources.
- Exploratory Analysis & Machine Learning: Advanced analytics and machine learning techniques are used to identify patterns, relationships, constraints, and hidden opportunities within the process.
- ROI Case Report: Findings are translated into quantified business impact, providing a clear picture of potential value.
- Optimization Path Forward: A prioritized roadmap outlines where to focus next and what opportunities warrant further action.
Real Results
Startup Optimization
A manufacturing facility believed startup transitions were performing efficiently.
Analysis revealed actual startup durations were nearly twice as long as operators estimated, creating significant off-spec product losses.
ImpactNOW identified repeatable operating patterns that could be automated, resulting in:
- Approximately $2 million in annual savings
- Reduced startup waste
- Faster transitions to stable production
- Improved process consistency
High-Speed Filling Optimization
A filling operation appeared to be operating within specification based on traditional reporting.
ImpactNOW uncovered significant variation between individual filler heads that was hidden within aggregated production data.
The analysis identified:
- $300,000–$800,000 annual savings opportunity
- Immediate maintenance improvements
- Reduced product giveaway
- Foundation for predictive maintenance initiative
Scrap & Waste Optimization
Operators had access to scrap totals, but lacked the context needed to determine whether performance was normal or a sign of a developing issue.
ImpactNOW transformed existing historian data into real-time operational intelligence by contextualizing scrap performance against runtime, throughput, and historical operating conditions.
The solution delivered:
- Real-time identification of abnormal scrap conditions
- Standardized decision-making across operators
- Earlier intervention to reduce waste and material losses
- Foundation for broader operational intelligence initiatives
Why Manufacturers Start With ImpactNOW
Most organizations aren’t looking for another large transformation project. They’re looking for answers.
- Is there value hidden in our data?
- Where should we focus first?
- What opportunity is worth pursuing?
- Can we justify the investment?
ImpactNOW provides those answers quickly, using existing operational data and a structured approach grounded in manufacturing reality.
What Happens Next?
Every organization starts in a different place. For some, ImpactNOW leads directly to targeted process improvements.
For others, it becomes the foundation for broader initiatives involving operational analytics, Data Operations, machine learning applications, or plant-wide optimization programs.
Ready To Uncover The Hidden Factory?
Discover what your operational data is really telling you.
