Data conversion has a major problem and the migration project often fails for more than 38%. If the data migration and conversion process is not taken care of properly, it can eventually prove to be problematic in the long run. Data conversion is a bleak and sensitive process, which is why it is necessary to take care properly. If the data migration process is not handled properly, it can eventually involve a lot of risks.
As a result, it is extremely necessary to be aware of all the problems so that you can prevent the damage. Also, a smooth transition is necessary for maintaining the data in your new system.
Some of the common problems involved in the data migration process include the following
Not having enough knowledge of source data
Often people do not have enough knowledge about the data which makes them prone to various problems such as duplication, missing information, spelling errors and other loss of data. While you may feel that all this is easy and the data will easily be configured into the new system it won’t. If you analyse, the reality can be far away for data compliance into the new system is a big thing. As a result, to ensure successful data migration, it is necessary to have proper knowledge about data.
Lack of integrated processing
Data migration has an important role to play for different people with disparate technologies. Data conversion process shared through Excel sheets maybe prone to human errors. It is extremely necessary to analyse the data and its transformation properly for better results. If data conversion is not handled thoroughly, it can result in lack of design, analysis, development and problems in the implementation phase. Sonovision s1000d authoring can ensure in correct translation of all the data, thereby preventing the risk of increased cost and wasted time.
Lack of collaboration
Data conversion requires the involvement of different systems, technology and people. This can eventually lead to problematic in the mixing of internal employees and external contractors. As a result, it is extremely necessary to work in proper location. Working with data conversion can lower the risk of efficiency thereby reducing the chances of misinterpretation if caused by humans. Various collaborative tools can contribute towards migration of better tools thereby lowering the issues and helps to resolve the issues. It further lowers the risk of assumptions of misunderstanding.
Data migration is challenging and involves high risk. You should be careful about it in the initial planning stage only to ensure better results.