PLM Data Management
Data Cleanup and Migration Support for PLM Environments
Product and packaging data does not become reliable on its own. Over time, records drift, fields are used inconsistently, structures break down, and legacy data creates noise across the business.
Dazmii helps organizations clean up, normalize, and prepare PLM data for migration, reporting, and ongoing operational use—so teams can move forward with more confidence and less rework.
Why Data Cleanup and Migration Becomes Necessary
As PLM environments evolve, data quality issues accumulate. Legacy structures remain in place, naming conventions drift, required fields are missing, and records no longer align with current business needs.
- Duplicate or inconsistent records across products, packaging, and materials
- Missing attributes and incomplete specifications
- Legacy data structures that no longer fit the operating model
- Inconsistent use of fields, templates, and values
- Migration efforts delayed by poor source data quality
Without structured cleanup, migrations become riskier, reporting becomes less trustworthy, and operational friction increases.
What Data Cleanup and Migration Support Includes
Dazmii provides execution-focused support to improve data quality and prepare records for migration, operational use, and downstream alignment.
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- Data cleanup across product, packaging, BOM, and specification records
- Normalization of values, structures, and field usage
- Identification and resolution of duplicate or incomplete records
- Validation of required fields and migration readiness
- Support for mapping legacy data to target structures
- Preparation of data for PLM, ERP, reporting, and compliance needs
Improving Data Quality Before It Creates More Problems
Cleanup is not just about making data look better. It is about making data usable, reliable, and aligned to how the business actually operates.
- Correct inconsistent field usage and value patterns
- Resolve structural issues that create confusion or rework
- Improve completeness across records and attributes
- Reduce downstream disruption caused by poor data quality
Stronger data quality supports better execution, more trusted reporting, and cleaner integration across systems.
Preparing Data for Migration
Migrations fail when teams move bad data forward without enough structure, validation, or mapping discipline. Dazmii helps reduce migration risk by preparing source data before it is loaded into a new or updated environment.
- Assess source data quality and identify cleanup priorities
- Support mapping from current-state data to future-state models
- Validate readiness before migration activities move forward
- Reduce manual rework after migration by improving data upfront
Cross-System Alignment Matters
Data cleanup and migration do not happen in isolation. PLM data often affects ERP, reporting, compliance, supplier workflows, and other downstream systems.
Dazmii supports:
- Alignment between PLM and ERP data expectations
- Preparation of records for reporting and analytics
- Consistency across packaging, BOM, and specification data
- Improved readiness for automation and integration
Source Data Digitization and Structuring
Many organizations still rely on PDFs, engineering drawings, and spreadsheets as the source of truth for product and packaging data. Dazmii helps extract, structure, and normalize this information so it can be used within PLM systems.
- Extraction of data from PDFs, drawings, and Excel files
- Structuring unformatted data into PLM-ready formats
- Normalization and validation of extracted values
- Alignment with specification and data models
Who This Is For
- Organizations preparing for PLM or ERP migration efforts
- Teams struggling with legacy data quality issues
- PLM and data teams responsible for record accuracy
- Operations teams impacted by unreliable product data
- PMO and transformation leaders trying to reduce migration risk
Why Teams Use Dazmii for Data Cleanup and Migration
- Legacy data is inconsistent or no longer usable
- Migration efforts are blocked by poor source data
- Internal teams do not have capacity for cleanup work
- Data issues are affecting reporting, compliance, or operations
- There is a need to improve quality without slowing the business down
Dazmii helps create a cleaner, more usable data foundation so migrations, reporting, and ongoing PLM operations are more reliable.
What Better Data Preparation Creates
- Cleaner and more consistent records
- Less migration risk and post-load rework
- Stronger confidence in reporting and downstream use
- More reliable PLM operations
- A better foundation for governance and scale
Supporting PLM and Connected Systems
Dazmii supports environments across a range of PLM and enterprise systems, helping ensure data is aligned and usable across platforms.
- Specright
- SAP
- Oracle
- Siemens Teamcenter
- Esko
Clean Up the Data Before It Slows Everything Down
If legacy data issues, migration risk, or inconsistent records are creating friction in your PLM environment, Dazmii can help improve structure, readiness, and confidence in the data.