GouldDM Features | Gould Data Manager

From Historical Access to Migration Validation

GouldDM is designed for the work that happens after data is exported from a legacy application. Instead of leaving staff with disconnected CSV files, it gives the data structure, relationships, reporting, maintenance, and migration context needed to keep that information useful.

Keep Legacy Data Useful

Give authorized users practical access to historical records without keeping the original application alive solely for lookups.

Understand & Improve Data

Expose relationships, identify duplicates and exceptions, build reports, and perform controlled corrections when the project requires them.

Migrate With Evidence

Track mapping decisions, transformations, migration passes, validation runs, mismatches, and outstanding work in one environment.

Search, Explore, and Understand Legacy Data

Users work with business records and relationships instead of hunting through separate export files.

Data Access

Global and Source-Specific Search

Search configured data sources from a common interface and quickly narrow into the records that matter. GouldDM is intended to make exported historical data usable by normal staff, not just technical teams.

Presentation

Business-Friendly Record Views

Technical column names can be presented with friendly labels, useful field selections, display ordering, and record-specific layouts so exported data looks more like an application and less like a raw CSV file.

Relationships

Related-Record Navigation

Define direct and chained relationships so users can move naturally from one entity to another—for example from a profile to licenses, applications, facilities, payments, or other connected information.

Many-to-Many

Junction Relationships

GouldDM can treat bridge tables as relationships rather than forcing users to work with the bridge as a business record. That makes many-to-many relationships easier to understand and navigate from either side.

Productivity

Saved Views

Preserve useful searches, field selections, filters, and working views so recurring research and operational tasks do not have to be rebuilt from scratch.

Continuity

Application-Retirement Access

Keep historical information searchable after the originating application is shut down, without forcing every old record into the replacement production system simply to preserve occasional access.

Screenshot 1

Main Search & Results Recommended image: a sanitized search showing several matching records, friendly column names, and a clear action to open a record.

Show prospects that GouldDM provides an actual working interface for legacy data—not just another exported file.

Screenshot 2

Record Detail & Related Records Recommended image: one record with related licenses, applications, facilities, or other connected entities visible.

This is one of the strongest screenshots because it visually demonstrates the relationships that flat-file archives usually lose.

Turn Preserved Data Into Useful Analysis

Historical or migration data becomes much more valuable when users can organize, filter, combine, and export it without writing one-off scripts.

Reporting

Spreadsheet Reports

Create reusable reports that start from one source and pull information from related sources while controlling the records, fields, criteria, and output structure.

Reporting

Related-Record Selection

Reports can apply criteria, sorting, priority rules, and multiple-match behavior when deciding which related record should contribute to an output row.

Advanced Output

Calculated and Aggregated Output

Build output that includes values derived from multiple fields, related-record lists, runtime date values, and controlled lookup logic rather than being limited to direct column copies.

Export

XLSX and CSV Output

Turn repeatable analysis into files that project teams, auditors, managers, and business users can review outside GouldDM using familiar spreadsheet tools.

Source Analysis

Config Builder

Analyze source files, discover columns, assign friendly names, configure keys, select display fields, and build the metadata that turns exported data into a usable GouldDM project.

Configuration

Field & Relationship Management

Administrators can define how fields behave, how records connect, and how those definitions should be presented throughout search, record views, creation, reporting, and migration work.

Screenshot 3

Spreadsheet Report Editor or Finished Workbook Recommended image: either the guided report definition screen or a finished workbook that visibly combines fields from several related sources.

A report screenshot helps demonstrate that preserved legacy data remains useful for actual business work—not merely historical storage.

Find Problems and Maintain Data Safely

For projects that allow source maintenance, GouldDM adds controls around duplicate detection, edits, creation, relationships, audit history, and concurrent writes.

Data Quality

Deterministic Duplicate Detection

Define repeatable duplicate rules using one or several fields with controlled normalization such as text normalization, exact comparison, digits-only comparison, or alphanumeric comparison.

Review

Full-Record Duplicate Comparison

Review likely duplicates side-by-side, see differences that were not included in the summary fields, and expand the complete original CSV records before deciding whether they should be merged.

Merge

Relationship-Aware Record Merge

Choose a surviving record and selected field values while GouldDM reassigns eligible direct references and junction relationships before removing the duplicate. It is designed to preserve connected data rather than simply deleting a row.

Maintenance

Controlled Record Editing & Creation

All licensed editions can support authorized corrections and creation of source records, including relationship-aware forms and synchronized multi-file writes where appropriate.

Integrity

Write Conflict Protection

Before committing changes, GouldDM refreshes affected data, uses file or provider-aware locking, and protects against stale writes so one user or process is less likely to overwrite another user's work.

Audit

Change History

Material record changes generate audit information showing the affected record and field changes. Merge operations also record relationship reassignment and duplicate removal activity.

Screenshot 4

Duplicate Review & Merge Recommended image: two duplicate records with highlighted differences, the hidden-difference notice, and the Show Full Records section expanded.

This screenshot demonstrates that GouldDM treats duplicate cleanup as governed data maintenance rather than a blind delete operation.

Manage Mapping Decisions and Validate Migration Results

GouldDM provides a structured migration workspace so mappings, transformations, execution logic, testing, and exceptions do not have to live in disconnected spreadsheets and scripts.

Mapping

Data Mapping Workspace

Create migration projects and work through source entities and fields while recording target decisions, mapping status, notes, and outstanding work in a consistent project structure.

Governance

Mapping Cycles & Field Review

Track mapping work across defined cycles so teams can distinguish current decisions from prior review history and identify fields that remain unresolved, ignored, blocked, or otherwise outstanding.

Transformation

Lookup and Transformation Rules

Define controlled lookup sets and transformation behavior for values that cannot move directly from source to target, while keeping the logic explicit and reviewable.

Execution Logic

Ordered Mapping Passes

Organize mappings into ordered passes with source and target entities, conditions, sequence, status, and notes. This supports migration logic that needs more than a single one-field-to-one-field pass.

Validation

Migration Validation Runs

Compare source expectations with target results and review matched records, missing targets, extra targets, duplicate keys, blank keys, transformed values, mismatches, and other exceptions.

Evidence

Validation Summaries & Workbook Export

Produce reviewable validation summaries and workbook output that can be shared with project managers, implementation teams, and business reviewers as migration evidence.

Screenshot 5

Data Mapping Workspace Recommended image: mapping project summary with field status, target mapping information, cycles, and outstanding items visible.

Show how detailed field-level work becomes a structured, reviewable migration project instead of a collection of disconnected notes.

Screenshot 6

Migration Validation Recommended image: validation results with source/target counts, matched records, missing/extra records, duplicate keys, mismatches, match percentage, and exceptions.

Validation is one of the strongest product differentiators because it gives teams evidence beyond “the import ran successfully.”

One Environment Across the Data Transition

ExportBring legacy data into portable files.

ConfigureDescribe fields, keys, views, and relationships.

ExploreSearch and follow connected business records.

ImproveReport, investigate, and resolve data-quality issues.

MapDocument transformations, passes, and migration decisions.

ValidateMeasure conversion results and exceptions.

Customer-Controlled Data

GouldDM is designed so organizations can retain control of their operational or historical data rather than having to send it to Gould Intelligent simply to use the product.

Local and supported provider-backed data sources
Configuration can remain with the deployment
Historical access without another proprietary archive
Useful for temporary migration projects or long-term continuity

Enterprise Access Control

Enterprise deployments add customer-administered access policy above the data layer so larger organizations can separate who may see, change, or administer different data locations.

User, group, and domain-based policy options
List / Read / Write / Admin rights
Folder or provider-prefix authorization
Separate customer-owned access-control service

Edition note: Some maintenance and enterprise-control functions depend on the licensed GouldDM edition and configured permissions. The Plans & Pricing page identifies which capabilities are available for Professional, Enterprise, and Service Provider use.

See GouldDM With Data That Looks Like Yours

A useful demonstration should show more than a generic dashboard. We can walk through search, relationships, reporting, duplicate review, mapping, and validation using a structure similar to the data you actually need to preserve or migrate.

Request a GouldDM Demo

Explore Gould Data Manager

See the use case, migration approach, and licensing model that best matches your project.

About Gould Data ManagerSee the overall continuity, migration, validation, and historical-access story. Application RetirementKeep historical records usable after the legacy application is shut down. Data Migration & ValidationSee how GouldDM supports mapping, transformation, testing, and exception analysis. Migration Project VisibilityTurn detailed migration work into measurable status and readiness. Mapping & Readiness WorkbookGive managers a structured view of mapping progress and open decisions. Plans & PricingCompare Professional, Enterprise, and Service Provider licensing.