Calculate your savings from collaborative master data maintenance!

According to Six Sigma (rule of ten), indirect benefits by higher data quality exceed the direct benefits by ten times. However, the benefits of process failure reduction, good decisions, or more accurate business planning are hard to quantify, and influenced by many factors. To quantify (a part of) the value of data sharing, we focus on the direct benefits, basically cost reduction due to more efficient collaborative data maintenance.

Use our Business Case Calculator to determine your cost saving potential in data creation/maintenance when using our master data sharing services.

Data Purchase & IT
Record Updates
Record Creation
Savings

120000
50
180
0.43

0.05
18
30

0.11
5
20

120000
50000
Number of Records
Costs data maintenance per hour
Data maintenance per attribute (seconds)
Costs per attribute
Overlap with Data Sharing Pool

Lead time reduction of data creation processes, calculated by the difference between data creation costs with and without Data Sharing. With Data Sharing, data maintenance is faster because data can be copied from the Data Sharing pool instead of manual data entry. However, this effect is only calculated for records which match with the data pool, according to the overlap parameter. First Time Right ensures correct data at data entry and reduced efforts of later data correction and, even worse, process failures due to wrong data.

Created records ratio p.a.
Number of created records p.a.
Number of attributes per create
Number of created attributes p.a.
Duration (seconds) per attribute create with Data Sharing
Costs per attribute create with Data Sharing
Data creation costs p.a.
Data creation cost p.a. with Data Sharing

The idea of Zero Maintenance refers to the elimination of maintenance efforts. True zero data maintenance will be hardly achieved, but there are ways to get close to this goal, e.g. proactive and pre-validated updates from a data sharing community.

Updated records ratio p.a.
Number of updates records p.a.
Number of attributes per update
Number of updated attributes p.a.
Duration (seconds) per attribute update with Data Sharing
Costs per attribute update with Data Sharing
Data update costs p.a.
Data update costs p.a. with Data Sharing
Data purchase and IT costs p.a.
Data purchase and IT costs p.a. with Data Sharing
Data quality costs p.a.
Data quality costs p.a. with Data Sharing
Cost Reduction by Data Sharing

The CDQ Data Sharing Community

Stop reinventing the wheel in master data management: The members of our Data Sharing Community manage their customer and vendor data collaboratively, saving time and money while improving data quality.

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