Bad data is the most common cause of go-live delays. We assess and cleanse your data, migrate it with SAP tools and full reconciliation, then put SAP Master Data Governance in place so it stays right.
Before go-live
data assessed, cleansed and migrated
After go-live
governance that keeps it clean
SAP tools
Migration Cockpit, Data Services and Information Steward
Every domain
customers, suppliers, materials, finance and assets
Bad data is the most common cause of go-live delays. And without governance, clean data starts to decay the day after go-live.
Where does bad data hurt you?
Choose an area to see the problems we solve, what we deliver and the SAP solutions we use.
Data quality assessment
The problem
- Nobody knows how bad the data really is
- Duplicates and gaps found during testing
- Go-live dates at risk late in the project
What we deliver
- Profiling of customer, supplier, material and finance data
- Duplicate, gap and rule-break reports
- Data quality scores by domain and owner
- A cleansing plan with priorities
- SAP Information Steward
- SAP Datasphere
The result: A clear picture of data quality, months before go-live.
Cleansing and enrichment
The problem
- The same customer or supplier entered many times
- Missing tax, bank and address details
- Material descriptions that mean nothing to anyone
What we deliver
- Duplicate matching and merging
- Address, tax and bank detail validation
- Material and product data standards
- Business-owned cleansing with clear sign-off
- SAP Data Services
- SAP Master Data Governance
The result: Clean, complete data that the business has signed off.
Data migration
The problem
- Migration treated as a last-minute technical task
- Loads that fail in production cutover
- Finance balances that don’t reconcile
What we deliver
- Mapping from old systems to S/4HANA or SAP Cloud ERP
- Repeatable loads with SAP migration tools and the INK toolkit
- Mock loads and full reconciliation
- Cutover plans with sign-off at each step
- SAP S/4HANA Migration Cockpit
- SAP Data Services
The result: A go-live where the data loads and reconciles first time.
Master data governance
The problem
- Anyone can create a customer or material
- No owner for each data domain
- Data quality drops again after go-live
What we deliver
- Request and approval workflows for new and changed data
- Data ownership and stewardship model
- Validation rules applied at the point of entry
- Central or consolidated MDG set-ups
- SAP Master Data Governance
- S/4HANA
- SAP Cloud ERP
The result: Data that stays clean, with clear owners and controls.
Ongoing data quality
The problem
- Problems found only when a process breaks
- No measure of data quality over time
- Data not ready for analytics and AI
What we deliver
- Data quality dashboards by domain
- Rules that flag issues automatically
- Regular clean-up cycles
- Data prepared for analytics, AI and SAP Joule
- SAP Master Data Governance
- SAP Datasphere
- SAP Analytics Cloud
The result: Data you can rely on for reporting, automation and AI.
How we deliver
Assess
Profile data quality in every source system.
You get: A data quality report
Cleanse
Fix duplicates, gaps and standards with the business.
You get: Signed-off clean data
Migrate
Map, load and reconcile in repeated mock runs.
You get: A proven cutover
Govern
Workflows, owners and rules in SAP MDG.
You get: Controlled data creation
Sustain
Monitor quality and improve with iCare AMS.
You get: Data that stays right
Before and after
Data today
- Duplicates across systems
- Missing tax and bank details
- Anyone can create records
- Problems found at go-live
Data with INK and SAP
- One clean record per customer, supplier and material
- Validated details at the point of entry
- Approval workflows and clear owners
- Reconciled, repeatable migration
Data domains we cover
- Customers and business partners
- Suppliers
- Materials and products
- Finance: accounts, cost centres, profit centres
- Assets and equipment
- Employees
- Pricing and conditions
- Bank and tax details
Related: ECC to S/4HANA Migration · GROW with SAP · Data & Analytics
Find out how ready your data is
Tell us about your systems and your go-live plans. We’ll show you where your data needs attention first.
Frequently asked questions
When should data work start in an SAP project?
As early as possible. We profile data quality at the start, so cleansing runs alongside design and build instead of delaying go-live.
Which migration tools do you use?
SAP tools such as the S/4HANA Migration Cockpit, SAP Data Services and SAP Information Steward for profiling, cleansing, loading and reconciliation.
Who owns the data decisions?
Your business does. We set up data owners and stewards, and every cleansing step is signed off by them.
Do we need SAP MDG?
Not always. For smaller landscapes, workflows and validation in S/4HANA or SAP Cloud ERP may be enough. We recommend MDG where many systems or teams create data.