Avoid Data Migration Failure: Here’s How
Data migration – a process of transferring data from original sources to new destinations – is simple in its foundations, but really tough in practice. The more data and the more crucial to company it is, the more complex data migration processes become. If run not preceded with required preparation, for instance not followed with proper data quality assessment, data migration might be rather destructive than helpful. Companies like datalynx.net specialise here!
Of course, data quality assessment isn’t the only step that has to be mentioned right before data migration. All them are identified and described in every data migration methodology. But following step by step one’s instruction isn’t also a guarantee of success. Once every case is different, it’s good to remember about some data migration best practices. They are not the exact instructions, they’re just the result of hundreds of migrations and people thinking about them analytically – what can be done next time to make data migration be more accurate, less risky or last shorter. What’s been found is gathered in the following ideas.
Data purposes and uses
Paradoxically, data itself is not a value. Even more, data itself could not exist and no one should actually be unhappy because of this reason. So what makes so many people mad about data? What places it in the middle of company managers’ interest? And – the most directly – what makes data matter? The answer is: purpose.
Collecting data just to have a lot of data doesn’t make sense. It’s like you were analyzing the colors of cars that pass you by when thinking of methods for reducing the pollution. In a word, it doesn’t matter. And so do companies (do or… should do). They don’t focus on data itself but on the way they can use data. About its purpose.
Therefore it’s crucial to successful data migration to know what data is used for at the moment and what it can be used for a few days later. Company needs are changing continuously, while responsible data migration allows to be a few steps before the change so that company systems already are prepared for new appliances. It’s very important to predict changes in the purpose of data.
Data and business connection
You should know that there is nothing that happens without a reason in a responsibly managed company. The same is to data – it never should be gathered just because it looks good to have a lot of data. Before you approach data migration, think about how your company uses data and what for. That’s more or less what’s stated above, but now focus on business processes data is linked to. Don’t forget to ask data owners for their opinion. Maybe their point of view is totally different than yours and doing data migration your way could catastrophically impede their work.
If you’re preparing data migration in a large company, you have to be aware that it won’t get you sympathy of your colleagues. Prepare yourself rather for many comments in style of “why on earth (yes, it will be “on earth” here…) do you have to do it right now?!”. Show your colleagues that you are well prepared and make a system retirement plan, considering all important elements which data migration will impact. Remember about systems, machines, even about buildings.