Software solutions with function or module Data maintenance:
Show all 57 programs with Data maintenance
The term "data maintenance" refers to the continuous updating, correction, enhancement, and consolidation of data records within software systems. The objective of data maintenance is to ensure long-term data quality, avoid duplicate or incorrect entries, and provide a reliable information base for business processes and analysis. Data maintenance is a key component of data management and applies to both structured data (e.g., customer data, product information) and unstructured data (e.g., documents).
Duplicate Detection and Merging: Identifying and merging duplicate records (e.g., duplicate customer or article numbers).
Validation and Plausibility Checks: Automatically verifying data formats, required fields, and value ranges.
Auto-Completion: Completing missing data using rules, templates, or external data sources.
Versioning and Change Logging: Documenting data changes for traceability and quality assurance.
Bulk Data Editing: Simultaneous updating or correcting of large datasets (e.g., via import or batch functions).
Approval Workflows: Ensuring that changes are made only by authorized personnel through controlled approval processes.
Spelling and Format Corrections: Standardizing spellings and enforcing company-wide formatting guidelines.
Integration of External Data Sources: Matching and enriching internal data with external information (e.g., address directories, industry data).
A trading company removes duplicate supplier entries in its ERP system.
A sales representative updates outdated email addresses in the CRM system.
A data steward imports missing revenue figures from an accounting tool.
A company regularly checks the formatting of phone numbers to maintain a consistent standard.
A marketing team uses an approval workflow to validate new product descriptions in the product database.
