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More Speed for Post Merger Integration |
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| Merging of Data |
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| The merging and integration of enterprises, organizational units, or departments can be seen as the perfect opportunity for reducing the overall complexity of system environments. One of the main challenges is to find an effective way of interlinking and consolidating master data. The key processes involved include merging, normalizing, and cleansing the data in question, as well as delivering it in a centralized manner. |
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| One Group - Three Organizational Units |
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| Take a group with, for instance, three organizational units: the task of consolidating data poses quite a challenge. Let's assume that the company headquarters are in Germany, and that there is a foreign subsidiary in France and a branch office in Munich. In this case, it is likely that customer data has been stored three times (separate SAP clients). In these cases it is virtually impossible to gauge the exact revenue attributable to a specific customer. Furthermore, the individual organizational units within the group will not know which activities have been carried out by the respective units. This data is usually merged only at the end of the year or the end of the quarter. In addition, the process of merging data manually is particularly susceptible to errors. |
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| Collaborative Master Data Managment |
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| With the help of collaborative master data management, based on iq-server 3.5 functionality, the process of evaluating data accurately can be performed at the click of a mouse button. Customer contact information is stored only once, and all organizational units are able to access this central data at their convenience. With iq-server at the helm, the process of consolidating master data can be accelerated and enhanced by a considerable level. The main objective is to achieve an enhanced level of non-redundancy of the master system. |
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| Benefits of Centralizing Master Data with iq-server 3.5 |
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| caatoosees iq-server saves money |
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- Reduce operating costs of administration and maintenance
- Avoid redundant systems
- Streamline hardware and software
- Rein back costs associated with eliminating errors in data repository
- Achieve more cost-effective and efficient data mining
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| caatoosees iq-server saves time |
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- Identify duplicates immediately
- Locate data records quickly and accurately
- Evaluate information at the click of a button
- Report financial data much faster than before
- Eliminate redundancy and achieve superior data quality
- Improve the value of information thanks to enhanced quality of data
- Enhance decision-making processes with an improved information base
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