Data migration methodology to successfully migrate data | UCT
10.08.2017 to 22.08.2017
at P3

There is method to our
data migrations

UCT is often credited for having revolutionized the data migration process. We approach data migration as a business project rather than as a technical challenge. Our proven methodology was crafted and perfected over the years to accommodate all the business needs that must be addressed for the system to work as it should. Our data migration blueprint effectively accelerates the process, while eliminating risk.




Our agile methodology

Our methodology for moving data to more modern platforms typically reduces estimated timeframes and conversion costs of by 40% to 60%.

We believe that quality and efficiency arise by engaging the life insurance and financial business experts, not just the technical experts, throughout the data migration process. We also believe that what matters most is a thorough understanding of the operational differences between the source and target systems so that source product data can be transformed to process perfectly on the target system.

Using our tools, experience, and components we’ve collected from past projects, we rapidly develop a prototype data migration solution. We select a relatively small and simple subset of data and test the solution. Built-in reporting components collect the various messages that are generated so that they can be analyzed and the solution can be perfected.

This solution testing and analysis exposes new requirements that the business experts enter into the toolset. The process is repeated using more complicated records and eventually increasing data set size. UCT innovated this agile-like methodology in 1989 and has been perfecting it ever since.


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There’s more to data migration than meets the eye

Many people tend to think of ‘data migration’ as being a simple export and import of data from one system to another. At the highest level, that’s not a bad way to think of it. But even the simplest-looking data migration project presents a certain measure of complexity.

In reality, the degree to which data is transformed can be quite significant. A lot of data needs to be added or augmented, and almost every data element is ‘converted’ in some way.

To achieve successful and cost-effective data migrations, regardless of project complexity, UCT brings together the right people, the right toolset, featuring its flagship Data Conversion Architect (DCA) product, and the right methodology.

Our unique combination of expertise can effectively handle any data conversion contingency while meeting your specific business needs.

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Why do other approaches often fail?

With UCT, you avoid the pitfalls associated with traditional methods. Why do traditional software approaches become very time-consuming and costly, and often fail when applied to data migrations?

  • They are run as an IT-only project rather than a business project; most IT project managers are new to data migration projects.
  • They use the traditional app dev process with fixed requirements.
  • They don’t provide the iterative testing approach required by a data migration.


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A formula for success

Using our Data Conversion Architect (DCA) toolset and proven methodology, we guarantee the success of your project, whether you need a turnkey solution or just want help on one phase of the data migration process.

Because application replacements and consolidations are infrequent events, few can claim to have real, comprehensive data migration experience with your system.

At UCT, we have experience with every vendor-supplied and home-grown system in the life insurance marketplace. Data migration is all we’ve been doing for over 25 years, and we’re good at it.


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Whether you have inquiries about insurance, wealth management or data migration, whether you are around the block or on the other side of the world, please fill in the form and we’ll get back to you promptly.

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The UCT Methodology


Why Data Migrations Often Fail?


Why UCT's Approach Succeds?