Carrying out a data migration process can involve more complications than expected: delays in delivery times, data cleaning errors or increases in estimated project costs are some of the most frequent. Many of them can be solved by opting for the appropriate technology and letting yourself be guided by experts in the field, who are able to prove their experience in this field. Keys to Mitigate Risk in a Data Migration Photo credits: "Success Concept" by renjith krishnan The factor that is most critical is integration. In this phase it is necessary to have made the appropriate technology choice, since it must allow: - Allocate the necessary resources to go as deep as possible in the data profiling stage. - Ensure that data cleaning is effective, complemented by standardization and eliminating duplication. - Know and understand the source and destination systems and their needs, so that the transformation and loading of data can be carried out at the right time and in the appropriate way.



In a complementary way, it is always interesting to have the ability to natively access the source sources , as is also to have sufficient autonomy so that the owners of the data can resolve and manage reference data on their own, leaving the IT department on the sidelines. How to optimize a data migration The keys to a successful data migration are summarized in a risk-free execution and minimizing costs, which culminates in an agile and on-time achievement. Some of the means that make it possible to achieve these objectives have to do Chile Mobile Number List with: - Have staging, intermediate and pre-loading areas : to, thanks to the first two, be able to operate with updated real data and, in addition, qualify them when necessary, guaranteeing their cleaning, harmonization and enrichment. And using the pre-loading area to validate the data, subjecting it to test cycles before proceeding to loading at destination. - Seek flexibility and minimize maintenance needs , using reference tables and the necessary parameters in each case. - Define standards based on a modular design that allows the development of simple and lower-volume processes, gaining agility and reducing costs.



Transaction processing: they allow operational information to be complemented with information obtained on site , through access to data and the ability to modify it in real time. Multimedia processing: multimedia file players and processors that allow you to capture photos and videos, reproduce images, project presentations and share information on internal and/or social networks. Currently, on the market, there are two platforms that incorporate all the functionalities required by Mobile Intelligence systems: MicroStrategy and IBM Cognos. The particularities of both solutions are explained in detail in the following video, a complete webinar dedicated exclusively to Mobile Intelligence. The scarcity of professionals with Big Data knowledge compared to the breadth of companies dedicated to the tourism sector Respect for the client's privacy with the use of the data obtained, using it only responsibly for the specific and constructive interest of developing personalized offers for the ease and benefit of the user without violating their privacy.