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The 50% problem: why electronics teams waste half their innovation time searching for data

New product researching. Paperwork on the table, laptop and mobile phone. Startup team

Your best engineers aren’t designing breakthrough products. They’re hunting for files.

According to IDC research, data professionals are losing 50% of their time every week—30% searching for, governing and preparing data plus 20% duplicating work that’s already been done. In electronics development, this means your most valuable talent spends more time playing digital archaeologist than creating next-generation innovations.

While your teams dig through email threads for the latest PCB layout or recreate thermal simulations that someone already completed, competitors with integrated systems are accelerating past you with faster development cycles and superior products.

The daily reality of fragmented electronics data

Picture this: It’s Tuesday morning, and your mechanical engineer needs to verify how a component change affects the overall system thermal profile. Here’s what happens next:

9:00 AM: Email the electrical team asking for the latest PCB specifications
9:30 AM: Wait for response while searching shared drives for thermal models
10:15 AM: Find three different versions of the thermal analysis—none clearly labeled as current
10:45 AM: Schedule meeting to clarify which version is accurate
11:30 AM: Discover the meeting conflicts with another project review
2:00 PM: Finally connect with thermal analyst who reveals they updated the model yesterday but saved it in a different location
3:15 PM: Start actual design work

By mid-afternoon, your engineer has spent over 6 hours managing information and 45 minutes on actual engineering. This scenario repeats across every team, every project, every day but it does not have to.

Where innovation time disappears in electronics development

Requirements archaeology: Product managers spend days tracking down specification documents scattered across project management tools, email chains and shared drives. When found, half are outdated versions that no longer reflect current customer needs or market requirements.

Design detective work: Mechanical engineers recreate CAD models because they can’t locate existing work or determine which version incorporates the latest changes. Electrical teams duplicate circuit simulations that were completed months ago but saved in personal directories.

Change communication chaos: A simple component substitution triggers a cascade of manual updates across mechanical drawings, electrical schematics, thermal models and manufacturing instructions. Each team learns about changes through different channels at different times, creating version conflicts and coordination delays.

Compliance documentation duplication: Regulatory teams rebuild safety certifications and test reports because previous compliance work isn’t accessible, traceable or linked to current design versions.

Manufacturing information gaps: Production teams delay builds waiting for complete design packages, while engineering teams assume manufacturing already has access to the latest specifications.

The multiplication effect of data inefficiency

Data fragmentation doesn’t just waste individual time—it creates exponential delays across interconnected development activities. When the mechanical team can’t find current electrical specifications, they make assumptions that trigger redesign cycles. When software developers work with outdated hardware interfaces, integration testing reveals fundamental incompatibilities weeks before product launch.

Each lost hour searching for information cascades into additional delays, rework and missed market opportunities. The 50% productivity drain compounds across teams, projects and product lines until entire development programs operate at half capacity.

What integrated digital management actually means

Integrated product management isn’t about implementing more software tools. It’s about creating a unified digital workflow that connects product information, development processes and engineering teams in real time.

Single source of truth: All product data—from initial concepts through manufacturing specifications—exists in one authoritative system accessible to every team member who needs it.

Automated information flow: Design changes, requirement updates and approval decisions automatically propagate to relevant teams without manual communication or file transfers.

Real-time visibility: Project managers, engineers and executives see current status, identify bottlenecks and make decisions based on live data rather than outdated reports.

Seamless tool integration: Mechanical CAD, electrical design, simulation software and manufacturing systems connect through automated data exchange, eliminating manual file conversions and version conflicts.

The transformation framework

Businessman explaining line graph to his coworker.

Start with data consolidation: Establish centralized repositories for product requirements, design files, simulation results and manufacturing specifications. Eliminate the proliferation of personal drives, email attachments and disconnected project folders that fragment critical information.

Automate routine workflows: Deploy systems that automatically route design changes for review, notify teams of requirement updates and trigger necessary approvals based on predefined business rules. Remove manual handoffs that create communication gaps and process delays.

Enable real-time collaboration: Implement platforms where distributed teams can simultaneously access, review and modify product information without file checkout conflicts or version confusion. Support mobile access for field teams and remote engineers.

Measure and optimize: Track time spent on data management activities, identify remaining bottlenecks and continuously refine processes. Monitor development velocity improvements and reinvest time savings into innovation activities.

Beyond efficiency: the innovation multiplier effect

Organizations that solve the 50% problem discover that eliminating data waste does more than improve productivity—it fundamentally changes how teams approach complex challenges.

When engineers can instantly access relevant design history, they build on previous innovations rather than starting from scratch. When cross-functional teams share real-time information, they identify optimization opportunities that isolated groups miss. When project managers have complete visibility, they allocate resources more effectively and prevent small issues from becoming major delays.

The same engineering team that previously managed 3-4 concurrent projects can suddenly handle 6-8 programs. Complex products that required 18-month development cycles compress to 12 months. Innovation capacity that was constrained by information management suddenly expands to tackle breakthrough technologies.

The competitive reality

Electronics markets reward speed and innovation above all else. Companies that bring superior products to market first capture premium pricing, establish customer relationships and define industry standards. Those that arrive late fight for market share with commoditized offerings.

Your choice is simple: continue losing half your innovation capacity to preventable data management problems, or implement integrated systems that transform information handling from bottleneck to competitive advantage.

Your engineers want to design revolutionary products. Your customers want innovative solutions. Your executives want market leadership. The only thing standing between current reality and those goals is the 50% problem.

The question isn’t whether you can afford to implement integrated product lifecycle management. It’s whether you can afford not to.

Frequently asked questions

How much time do engineering teams actually spend searching for product data? According to IDC research, data professionals lose 50% of their time weekly—30% searching for, governing and preparing data, plus 20% duplicating work already completed. In electronics development, this translates to engineers spending 20+ hours per week on data management instead of innovation and design work.

What are the biggest causes of data fragmentation in electronics development? The primary causes include disconnected CAD systems, isolated project management tools, separate requirements databases, fragmented communication channels and lack of automated synchronization between mechanical, electrical and software development platforms. Each team often uses specialized tools that don’t communicate with others.

How can integrated PLM systems reduce product development time? Integrated product lifecycle management eliminates time spent searching for information, reduces duplicate work, automates routine workflows and enables real-time collaboration across teams. Organizations typically see 30-40% reduction in development cycles by removing data management bottlenecks and improving cross-functional coordination.

What’s the difference between traditional file sharing and integrated product data management? Traditional file sharing relies on manual uploads, downloads and version tracking across multiple systems, creating confusion and duplication. Integrated product data management provides a single source of truth with automated synchronization, version control, change tracking and role-based access that ensures teams always work with current, validated information.

How do you measure the ROI of implementing integrated product lifecycle management? Key metrics include reduced development cycle time, decreased design errors and rework, improved engineering productivity, faster time-to-market and reduced project coordination overhead. Many organizations see ROI within 12-18 months through eliminated data management inefficiencies and accelerated product launches.

Gabriella Leone
Senior Digital Content Marketing Specialist at Siemens Digital Industries Software

Gabriella Leone is a digital content strategist who translates complex semiconductor and electronics concepts into compelling industry narratives. Her expertise spans drone systems development, facial recognition technology, and RFID implementations, bringing a comprehensive understanding of electronic design automation and digital transformation to her work. Working in the semiconductor space, Gabriella regularly explores emerging trends in electronic systems design, digital twin technology, and chip innovation. When she's not analyzing the latest developments in electronics and automation, she's volunteering at animal shelters and tending to her community garden, bringing the same curiosity about complex systems to both her work and hobbies.

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This article first appeared on the Siemens Digital Industries Software blog at https://blogs.sw.siemens.com/electronics-semiconductors/2025/06/20/the-50-problem-why-electronics-teams-waste-half-their-innovation-time-searching-for-data/