Estate documentation
One validated map of what your databases mean and what runs them.
Today. What each table means lives in a few heads, and the last data dictionary drifted the month it was written.
With Datapace. Entities, relationships, and meaning inferred from the source and confirmed by your team in a few sessions, kept current as the databases change.
ERP data migration
Mapping in days, validated by your domain experts.
Today. Weeks of mapping a legacy source by hand before a single record moves to the new engine, cloud, or ERP.
With Datapace. Datapace maps the source first and proposes candidate mappings into the target. Your experts validate before anything moves.
Migration to Odoo
Legacy customers, products, and orders consolidated into the Odoo model.
Today. Workbooks and legacy tables mapped into Odoo by hand, with duplicates and mixed currencies found after the first import fails.
With Datapace. The source is resolved into one map, each consolidation is proposed with a confidence score, and your expert validates the partner, product, and account decisions before the load.
Migration to Dynamics 365
Legacy masters and ledgers mapped to Business Central, dimensions included.
Today. Legacy fields pushed into Business Central through configuration packages, with the dimension design discovered at reconciliation time.
With Datapace. The source is resolved into one map, dimension values and masters are proposed with their evidence, and your expert validates the design before a package is built.
PeopleSoft to Workday Financials
The ChartField to worktag crosswalk, proposed with evidence and validated by finance.
Today. A crosswalk built in spreadsheets from ChartField combinations nobody fully documented, tested at the first conversion cycle.
With Datapace. ChartField usage resolved from the ledger itself, each worktag mapping proposed with its evidence, and finance validating the crosswalk before the first tenant load.
Database cost management and FinOps
Right-sizing, cleanup, and idle databases with the evidence attached.
Today. Oversized instances, idle databases, and overdue upgrades nobody dares touch, because nobody is sure what depends on them.
With Datapace. The FinOps agent flags the oversized instance, the idle database, and the dead table, each with the evidence. Your team approves the change.
Database performance
Slow queries, missing indexes, and overdue upgrades, proposed with their evidence.
Today. A slow query found from a complaint, fixed by whoever has time, with no record of what it touched or why the fix was safe.
With Datapace. The Performance agent flags the slow query, the missing index, and the overdue upgrade, each with the evidence. Your team approves the change.
Databricks Genie and data pipelines
Pipelines and Genie spaces built on the definitions your experts confirmed.
Today. Lakehouse tables loaded from operational databases by hand, described after the fact, with Genie answering in definitions nobody validated.
With Datapace. Pipeline mappings, table descriptions, and metric definitions drafted from the confirmed graph and reviewed by your team, so Genie answers in the terms your experts confirmed.
PII data management
Personal data found, confirmed, and followed through lineage to everything that inherits it.
Today. Personal data located by memory and spreadsheet, with no way to know which exports and dashboards carry it.
With Datapace. PII inferred per column with a confidence score, confirmed by your experts, and followed through lineage to every table, export, and dashboard that inherits it.
Audit trail
Every action through Datapace recorded: who, what, on which database, with the evidence and the approver.
Today. Changes to production reconstructed from tickets, chat threads, and memory when someone asks what happened.
With Datapace. Proposal, approval, execution, and verification recorded as they happen, with the evidence and the approver, queryable by database, actor, and period.
Security
Policy on every action, approval on the risky ones, governed context instead of raw access.
Today. Agents and copilots holding database credentials, with a read-only role standing in for a policy and no record of what they touched.
With Datapace. Every action checked against your policy, the risky ones held for approval, and every AI system reading governed context through one gate, all of it in the audit ledger.