Too Many Formats. Too Much Manual Work.

Material engineering teams operate in one of the most heterogeneous data environments. Test data files are generated by a wide range of testing methods, machine configurations, and vendors.

The result is a fragmented landscape of exported data that differs in file formats, measured quantities, sampling rates, unit systems, and column naming conventions.

Before any meaningful analysis can begin, experts must invest significant effort to prepare this data. Every week, valuable engineering hours are spent selecting the correct columns, resampling signals, converting units, filtering noise, and applying complex transformation chains — for example to derive true stress–strain curves or other material-specific characteristics.

Operational Costs Arising from Excel-based Data Preparation

For material engineering and research teams, data preparation consumes a substantial share of total man-hours and personnel costs.

Time that should be spent on high-value activities — interpreting results, improving models, and advancing material understanding — is instead absorbed by repetitive and error-prone preparation tasks in spreadsheets.

Data preparation also relies heavily on implicit, experience-based knowledge. New team members learn these steps informally, often by shadowing colleagues. Over time, this leads to:

• Knowledge silos and non-transparent data preparation workflows
• Inconsistent data preparation methods across engineers
• Reduced comparability of test results
• Increased onboarding and documentation effort
• Higher error risk due to manual processing
• Loss of critical know-how when individuals leave

These factors translate directly into operational risk and financial impact.

From Raw Test Data to Analysis-Ready — in Seconds

Zero Prep Imports is MatLytics’ answer to this challenge.

For each test data category used within your team, MatLytics provides a dedicated Zero Prep Import that automatically extracts the relevant columns from the raw files and prepares the data for analysis.

Filtering, resampling, unit conversions, and domain-specific transformations are applied automatically on import, based on validated, category-specific logic.

As a result, engineering time is redirected from manual data preparation to high-value analysis and interpretation.

Lower Cost, Higher Consistency, Faster Time to Insight

With Zero Prep Imports, organizations achieve immediate and lasting business value:

• Critical data preparation knowledge is captured once and shared across the team
• All engineers work with test data processed using the same validated methods
• Comparability between test results is ensured by design
• Manual steps — and common sources of error — are eliminated
• Onboarding becomes faster and more reliable
• Engineering time is redirected to high-value analysis work

Zero Prep Imports establish a shared, reliable foundation for handling heterogeneous test data across testing methods, machine configurations, and vendors, eliminating individual workarounds and enabling consistent, collaborative analysis.

Start Every Analysis on Solid Ground

Data preparation should not slow down material insight.

Book a demo to see Zero Prep Imports in action.