What is Data Mapping – A Definition
Data mapping is the linking of fields of different data elements between different data models. In other words, data elements are linked between different data models. Data mapping is a central component of many data management processes. Data mapping is used and needed for data transformation between a data source and a data target.
Why Data Mapping –
Challenges & Goals for the Smart Factory.
A changeover between systems takes place in virtually all companies at some point in time. If the different systems, then automatically store information differently, a functioning data mapping is needed at the latest for processes such as data integration, data migration, data synchronization, and numerous other data management projects – so that sensitive data ends up exactly where it belongs. A modern company like Fondsdepot Bank also has to face further challenges on its way to Industry 4.0:
Implementation of Data Mapping
using the Example of Fondsdepot Bank
The Augsburg-based software company soffico implemented a successful data mapping at Fondsdepot Bank with the help of its industrial software. The following steps were taken together on the way towards Industry 4.0:
Benefits & Opportunities of Data Mapping
Good data mapping software enables efficient data processes. Conversely, this means that poor data mapping will cause errors to ripple throughout the organization, leading to repeated problems that distort the results of analyses. Good quality data mapping has a direct impact on the quality of analytics data, which leads to the extraction of decision-useful results. Other advantages of Data Mapping – your solution for data mapping: