Data Transfer
The ongoing change leading to a knowledge-based society is accompanied by the steady growth of electronic data amounts of businesses and institutions. Decision-making and everyday work are based on the own data stock. Documentation of know-how and customer data becomes a valuable commodity.
But often companies do not tap the whole potential of aggregated data. They still maintain a number of legacy systems, which do not communicate and overlap in functionality. Data is not linked usefully, is not utilized actively and is not protected by current security standards.
A remedy for this situation is a migration and transfer of the data into future-proof and platform-independent systems, which provide interfaces, process data within the Semantic Web and allow for analysis and visualization. A successful data transfer is the starting point for tapping of the whole data potential.
Transfer and Aggregation
Depending on the legacy systems and the data quality, an import usually is possible with established standard tools. Otherwise individual importers or according mappings are developed, which provide the data at the point where it will be needed and accessed in the future.
Data transfer is a good time to conduct a parallel data cleansing. The transfer process is normally accompanied by duplicate and correctness verifications. Optimally, there should also be deliberations during the process about a future backup concept, which protects the whole migrated and converted data from loss or outage.
A special form of data transfer is the aggregation of data from third-party sources. Data is automatically gathered via according interfaces and protocols and is processed within the own systems.
Data Transfer at webmotive
webmotive supports you comprehensively during planning and implementation of a transfer from legacy systems into new ones, to fully tap the potential of your data stock. As a specialist in the handling of fonts and encodings, we convert data and integrate it seamlessly into your new work environment.
In prior stages we generate a trial data stock, which is provided to you for verification purposes. During the transfer we offer a cleansing with multiple duplicate and plausibility checks. A final report documents respective interfaces and contains a data stock description.
In addition to transfer and aggregation from third-party sources, we offer further concepts for data analysis, visualization and integration into semantic data structures. Our backup solutions and employed security standards protect your valuable data from loss and external access.
Summary
- Data transfer is the starting point for tapping of the full data potential
- During the transfer, data is converted and migrated into new systems
- A special form of data transfer is the aggregation of content from third-party sources
