The Major Data Migration Mistakes You Must Avoid

Conducting data migration properly can help to reduce delays in getting your business processes up and running again following a switch to a new system or major enterprise software. However, if you don’t make use of the services offered by a seasoned company like Imobisoft, you may find that you end up falling into some of the pitfalls that are most commonly associated with data migration. Let’s take a look at some of the major mistakes that are made during the data migration process.

Underestimating the Importance of Access

With so much focus being placed on load requirements and the migration itself, many businesses fail to consider the access rights to the data being migrated. You need to have a structure in place to determine who can access what chunks of the data and this structure must be built into the migration process. If it isn’t, you may successfully migrate all of your data, only to find that employees have access to data that they shouldn’t be able to see. For example, you may end up in a situation where low-level employees can suddenly access all of the company’s accounting data.

Not Involving Everyone

When migrating data you need to consider every single stakeholder who might be affected by the process. Many businesses make the mistake of only keeping internal considerations in mind. They shouldn’t forget to inform partners and clients of the affects the migration may have on various activities. Prior to starting the migration, make sure you speak to all of those who may be affected. The migration will cause delays and periods of downtime, so your business partners can make whatever adjustments are necessary to carry on as normal as well.

Failing to Cleanse

Migrating legacy data offers you the chance to cleanse out-of-date data and also get rid of any redundancies that currently exist in your system. Failing to take this opportunity means you end up transferring the whole data set. By omitting that you will leave your stuck with a number of inefficiencies that could have been removed. In essence, you create a new dataset that offers you none of the advantages that data migration is supposed to provide if you fail to take steps to cleanse your legacy data.

Using the Wrong Tools

With so many legacy data migration tools available on the market, it can often be difficult to select the one that will work best for your business. It is here where you may need the services of a consultant, who will be able to determine the specific challenges presented by your dataset and identify a suitable migration package for getting it where it needs to be.

Not Testing

It is rare for a data migration to go off without a hitch, especially when migrating large datasets. Failure to test smaller loads means you don’t identify issues that could affect the larger migration. Ideally, the migration process should have an iterative testing procedure in place that allows you to catch potential issues without affecting other datasets. Failure to do so can lead to massive delays that directly affect your business processes.

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