Asset Master Data Integrity
Bringing data accuracy, consistency, and security together
While dealing with sensitive and complex asset data, data integrity is vital. It is important to ensure data accuracy and consistency over its lifecycle. Besides, security standards need to be met by protecting data from unauthorized access or corruption. Central Master Data is the answer to these business needs.
CENTRAL MASTER DATA CONCEPT
If data integrity is ensured, you increase the trust of your data analytics. Integrity is not enough though, the right consolidation of data makes a real difference. With data from multiple sources, a unified view is needed to combine it effectively.
FIT GLOBAL PORTFOLIO: DYNAMIC EQUIPMENT MANAGEMENT
SAP S/4HANA
Central Master Data
Other Applications
Finance Info
Logistic Info
& More
Automated Embedded Processes
- Status Data
- Fleet Type Data
- Stock Data
- Historical Data
- Lifecycle Data
Data
Transfer
Processes
Finance Info
Logistic Info
& More
CENTRAL MASTER DATA CARD
- On stock
- On delivery prep
- At customer
- Stand still
- Called off
- On return
- Inspection service
- At service
C – Customer
D – Demo
N – New
R – Rental
S – 2nd Hand
U – Used
X – Re-rent
- Type
- Plant / Location
- Stock & Master Batch
- Specials
- Vendor
- WBS Element
- Company Code
- Etc.
- Goods Receipt / Issue
- Delivery & Returns
- Purchase & Sales Order
- Warranty Claims
- Service Requests
- Check-in & Check-out
- Assessment
- Etc.
- Rental Lifecycle Value
- Remaining Useful Life
- Geolocation
- (Sub) Industry
- Principle Work Code
- Warranty Type / Master
- Turnaround Time
- Etc.
FIT GLOBAL PORTFOLIO: DYNAMIC EQUIPMENT MANAGEMENT
SAP S/4HANA: MASTER DATA
Equipment/Asset: Number, Name, Category, Location, Address, Etc.
Benefits One Source of the Truth
By providing a 360-degree view of your equipment, asset-intensive companies can make bold decisions!
- Complete Asset Insights
- Asset P&L
- Asset Availability
- Asset Utilization
- Operational Efficiency
- Streamline processes
- Simplify asset movement
- Reduce manual tasks
- Risk Mitigation
- Realize data security
- Minimize data errors
- Trust data analytics
- Profitability Impuls
- Predict consumer behavior
- Adapt to market changes
- Improve customer interaction
