ImpactNOW™ FAQ: Your Questions Answered About Turning Plant Data into Measurable Results
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12 August 2026ImpactNOW™ FAQ: Your Questions Answered About Turning Plant Data into Measurable Results
Manufacturers collect enormous amounts of operational data every day. The challenge isn’t collecting more data, it’s turning the data you already have into operational improvements that reduce waste, improve quality, and increase throughput.
ImpactNOW™ was created to solve that problem quickly, without requiring a large digital transformation project.
Here are the questions we hear most often:
1.What is ImpactNOW™?
ImpactNOW™ is a rapid industrial analytics engagement that helps manufacturers uncover hidden operational losses using the data they already collect.
Instead of spending months building dashboards or implementing new software, ImpactNOW combines:
- On-site discovery
- OT data extraction
- Exploratory data analysis
- Machine learning
- Financial ROI analysis
to identify where the greatest improvement opportunities exist. The result is a quantified business case and a practical roadmap, not just another report.
2.How long does an ImpactNOW engagement take?
Most engagements are completed in 3–5 weeks. The goal isn’t to solve every operational challenge. It’s to rapidly determine:
- Where hidden losses exist
- Why they’re happening
- What they’re worth financially
- Which opportunities deserve investment first
That allows manufacturers to make informed decisions based on data, not assumptions.
3.What problems doe ImpactNOW solve?
ImpactNOW helps manufacturers uncover the hidden causes of operational losses, including startup inefficiencies, product giveaway, process variability, and yield loss.
It also identifies issues that often go unnoticed, such as quality inconsistencies, hidden downtime, equipment instability, operator-to-operator variation, and energy inefficiencies.
Many manufacturers know these challenges exist. What they often don’t know is which issues have the greatest financial impact or where to focus first.
4.Do we need AI before starting?
No. ImpactNOW is designed specifically for organizations that aren’t sure whether their data is ready for AI.
The process starts by understanding your operations, cleaning and contextualizing your OT data, and validating opportunities before more advanced analytics are considered.
AI and machine learning are used where they provide value, not as the starting point. This aligns with Actemium Avanceon’s phased approach to data maturity and practical adoption.
5.What Operational Data Does ImpactNOW™ Use?
ImpactNOW works with the existing operational data manufacturers already collect from systems like PLCs, SCADA, historians, MES platforms, production databases, and quality systems.
Most manufacturers already have the data they need. The challenge is connecting it, contextualizing it, and turning it into actionable insight.
6. What if our data isn’t clean or we don’t have an industrial historian?
That’s normal. Many manufacturers have operational data that is incomplete, inconsistent, difficult to access, or missing the context needed for meaningful analysis.
One of the first objectives of ImpactNOW™ is to assess, clean, organize, and contextualize the available OT data so meaningful analysis can begin. Data readiness is treated as part of the engagement, not a prerequisite.
If your plant doesn’t have an industrial historian or enough historical production data available, Actemium Avanceon can deploy a temporary edge data collection solution at the production line. This allows us to collect the high-speed operational data needed for exploratory data analysis and preliminary machine learning.
The solution can be used for the duration of ImpactNOW™ and removed afterward, so you don’t need to implement a plant-wide historian before getting started. If it makes sense for your operation, the edge solution can also remain in place as part of your ongoing data infrastructure.
7.What deliverables do we receive?
Every engagement includes:
- A quantified ROI report
- Identified operational improvement opportunities
- Initial machine learning insights
- Financial savings estimates
- Recommended next steps
- A practical optimization roadmap
These deliverables help leadership make investment decisions based on measurable evidence rather than assumptions.
8.How is ImpactNOW different from traditional analytics projects?
Most analytics projects begin with technology. ImpactNOW begins with operations.
Rather than implementing software first, the process starts by understanding how your plant actually runs, extracting operational context from existing data, and identifying measurable business opportunities.
This engineering-led approach helps avoid the long timelines and uncertain outcomes often associated with IT-driven analytics initiatives.
9.What Results Has ImpactNOW™ Delivered?
One dairy manufacturer believed separator startup took about seven minutes.
After analyzing historical operational data, ImpactNOW revealed startups actually averaged 13–14 minutes, creating significant off-spec product.
Using machine learning and process analysis, Actemium developed an automated startup sequence that:
- Reduced startup waste by 132 gallons per run
- Saved approximately $2 million annually across 16 separators
- Achieved payback in less than three months
Explore additional ImpactNOW success stories:
10.What happens after ImpactNOW?
ImpactNOW is designed to be the first step, helping manufacturers identify and validate high-value opportunities before making larger investments.
From there, organizations can expand into Industrial DataOps, Unified Namespace (UNS), advanced analytics, predictive maintenance, and closed-loop process optimization.
Whether you’re just beginning your analytics journey or already have historians, MES, and AI tools in place, ImpactNOW helps uncover additional value from your existing systems and provides a phased roadmap for continued improvement.
Why Actemium Avanceon
Most analytics providers specialize in software or IT. Actemium Avanceon combines:
- Industrial automation expertise
- OT integration
- Process engineering
- Manufacturing operations knowledge
- Data engineering
- Machine learning
- Controls implementation
That means recommendations don’t stay in a report—they’re translated into real operational improvements on the plant floor.
Are You Ready to Discover What’s Hidden in Your Data?
You may already have the information needed to improve productivity, quality, and profitability.
ImpactNOW™ helps uncover hidden opportunities, quantify their financial impact, and provide a practical roadmap for operational improvement.
Schedule an ImpactNOW discovery conversation to learn what your existing operational data could be telling you.
Blog, Data Analytics