Capabilities & workflow
From the first check to a correction you can trust.
DATAshaper runs data quality as one loop. Issues are found by your rules, resolved by the people who know the data, and staged before anything is loaded. Your source systems stay untouched.
Eight steps, every cycle.
The same loop for every dataset, so quality work becomes routine instead of a project.
Monitor
Scheduled, recurring checks run against your datasets and track quality scores and trends.
Detect
The rules you configure identify every record with a quality issue.
Assign
Each issue goes to the functional or business owner who can resolve it.
Collaborate
People investigate, comment and edit, and every issue carries a status.
Correct
Owners correct values by hand or start from an AI-suggested value. You decide how much approval each correction needs.
Stage
Approved corrections are prepared in a separate staging table.
Load
A separate loading process or approved integration moves staged changes into the target, following your process.
Improve
The next check runs and the trend shows whether quality holds.
Corrections are staged, never written straight into your ERP.
DATAshaper keeps source, staging and target apart. Approved corrections wait in a separate staging table, and the original record in your source system is left as it is.
Your own loading process, or an integration you approve, moves the staged changes into the target system, on your schedule and under your change control.
- Source systemLeft untouched
- Staging tableApproved corrections
- Target systemLoaded by your process
Capabilities along the way.
Configurable rules
Rules express what good data means for your business, per dataset, entity or domain.
Recurring checks
Checks run on a schedule, so quality is measured continuously rather than once.
Scores and trends
Quality scores overall and per dataset, entity or domain, with dashboards that show the trend.
Issue visibility
See which issues are open, resolved or assigned, and to whom.
Work in DATAshaper Studio
Business users edit, comment and update statuses in one place, without spreadsheets passed around.
Approval or controlled automation
Set how much human approval a correction needs, up to controlled automatic application where you trust it.
See it in the product.
Real, sanitised screenshots of each step will be added before launch. Until then, a demo shows the real thing.
Product screenshot to come
Data quality dashboard with scores and trend
Product screenshot to come
Rule configuration and detected issues
Product screenshot to come
Issue detail with comments and status in Studio
Product screenshot to come
Staged corrections ready for loading
Questions about the workflow.
Does DATAshaper change records in SAP directly?
No. Approved corrections are prepared in separate staging tables. Your own loading process or an approved integration moves them into the target system.
Who decides what gets corrected?
The business owner of each issue. You configure how much approval a correction needs, from review of every change to controlled automatic application where you trust it.
Do we need to define rules before we start?
Yes. Today, issues are found through the rules you configure. AI that explores datasets to find problems without rules is in development and not part of the current product.
Which systems does it work with?
DATAshaper is proven in SAP and Microsoft Dynamics programs. Tell us about your landscape and we will tell you honestly what fits, rather than hand you a generic connector list.
Ready to take control of your data?
Whether you're preparing for AI, improving data quality or planning an ERP transformation, start with a conversation.
Talk to an expert
Bring a specific challenge and discuss it with someone who has solved it before. Book a time or send a message.
Book a demo
See the platform in a guided session, usually with representative sample data. Book a time or send a message.