Sept. 10, 2025

This piece is sponsored by Eide Bailly LLP.

A version of this article originally appeared on eidebailly.com.

Most manufacturing leaders know their business inside and out. Years of hands-on experience, supplier relationships and production know-how have shaped their decisions.

But today’s environment is different.

To keep pace with a rapidly evolving industry, manufacturers must act quickly, adapt continuously and make informed decisions driven by real-time data. Yet, too often, decisions still rely on gut feel because the data they need is buried in outdated reports, siloed systems or spreadsheets that tell only part of the story. In fact, over 60 percent of mid-level manufacturers consider updating existing technology critical to growth.

Imagine shifting from reactive decisions to proactive planning, with data you can actually use.

The problem: When data lives in silos, strategy stalls

Many manufacturers still rely on manual reporting, legacy systems or disjointed tools that don’t communicate. Data might live across enterprise resource planning software, a warehouse management system, sales software and spreadsheets. Each offers a partial, delayed or conflicting picture.

This creates several risks:

• Missed reorders or stock-outs because of poor inventory visibility.
• Vendor relationships based on anecdote, not performance.
• Sales prioritization without understanding customer value or churn risk.
• Pricing strategies that don’t reflect true margins or costs.

Without a unified view, you’re stuck reacting.

The shift: Moving from reports to real-time intelligence 

One client came to Eide Bailly with this exact challenge: The operations team had data but no clarity. We helped them build a unified Manufacturing Analytics 360 environment that connected ERP, WMS and production data into a centralized data warehouse.

By replacing fragmented systems with automated dashboards and reports, the client gained the ability to:

• Forecast demand with confidence.
• Score vendors and renegotiate contracts.
• Understand customer behavior across the life cycle.
• Track margin and waste trends across production lines.

Manual reporting that once took hours each week was replaced by automated information flow. This allowed leaders to focus on high-value decisions based on real-time insights they could trust.

Why this matters now

Manufacturers are feeling the pressure to modernize. According to Eide Bailly’s recent survey results:

• 94 percent of respondents plan to increase technology and automation investments.
• 56 percent plan to invest in advanced data analytics.
• 33 percent are digitizing their supply chain processes.

As supply chain volatility continues, the push toward digitalization must focus on resilience — and that happens only with strong, integrated data.

With better data, you can:

• Forecast shifts based on market trends and seasonality.
• Manage rising costs through smarter inventory and demand planning.
• Gain transparency into supplier performance, inventory turns and lead times.

The opportunity: Build an analytics ecosystem that scales

True modernization isn’t just about buying new software. It’s about building an ecosystem that supports how your business runs.

But that begins by understanding:

• Your key business goals — cost containment, operational agility, growth.
• Your data landscape — where it lives, how it connects.
• Your process priorities — inventory, labor, pricing, vendor management.

This foundation will help you build an integrated analytics strategy that delivers, allowing you to:

• Optimize production and reduce waste.
• Make faster, data-backed decisions.
• Improve profitability through smarter pricing and sourcing.
• Scale your reporting as you grow.

When manufacturers align business goals with reliable, actionable data, they can improve performance and build lasting resilience, no matter what the market brings.