Data Migration Services

Data Migration Process

Broadly speaking, the data migration phases we follow are:

Design:

identify existing data sources, determine the requirements of the new system and how the data will be converted.

Extract:

export all the data from existing source(s).

cleanse:

Review the data and identify data issues, remove redundant or duplicated data, identify incomplete data and correct inaccurate data.

load:

import the cleansed data to the new system, either in one go or phased or in parallel.

verify:

test the data and validate upload success.

Before we start the process, our highly experienced Technical Architects will work with you to understand your business objectives and IT strategies. They will look at how your current system – and the data within it – works, including what the data looks like, how it’s used, its quality and where it’s stored.

We will ensure that availability, security and reliability is built into the process by:

Understanding what your data’s used for:

We’ll assess the information environment, learn how and where you use your data and who uses it. We’ll also ascertain whether there may need to be a different use for the data in the future.

Ensuring data quality (especially in legacy systems):

There’s no point moving data that you don’t use, or that’s duplicated or incorrect. We’ll perform a thorough quality assessment to ensure standardisation that supports your users now and in the future.

Constantly validating:

Fixing mistakes after migration has happened is expensive. In the case of data migration from an old system to a new one, we’ll build a visual prototype of the new system to ensure the data is being used exactly how you’d envisaged; changes can be made throughout the process.

Testing with end-users

We encourage you to share the prototype with your end-users so that, as well as validating throughout the process, they and other stakeholders can User Acceptance Test (UAT) the final migration to ensure it meets requirements.