Data Migration

Digiata offers financial services companies the best of both worlds. First, an industry-leading comprehensive data migration framework that is based on years of experience. Then, Digiata works closely with its customer’s in-house experts and the target system vendor to define a comprehensive, customised data migration plan. Any Digiata data migration is underpinned by the ability to move data from any source, to any target, any way.

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Data Migration Framework

Timeline

Engagement

Understand the high-level challenges and requirements for the migration. Define sources, targets and tools. Formulate the policies that will regulate the data governance standards to be followed during the entire data migration process.

Discovery

Formulate the detailed requirements and migration approach. Carry out data acquisition planning, data sensitivity classification and business rule categorisation. Supported by compliance strategies that provide guidance regarding data sensitivity, fraud, client privacy and illegal data transfer.

Analysis & Design

Analyse and examine the data from sources, document the data dictionary and map the source to target fields. Business and transformation rules are identified and validated in conjunction with backup and archiving strategy planning. Data governance standards and policies are integrated into the solution design to ensure adherence at every level of the project and certifies that data will remain trusted, accurate and fit for use in business processes, decision making and accounting.

Configuration & Analytics

Implementation of the automated migration solution. Data load processes are configured, business and transformation rules are implemented and reconciliation reports are built. Data models are constructed for data analytics and dashboards. Making use of industry leading data analytic tools to uncover insights from raw data to enable better and faster decision making. Visually representing the insights with functionality to drilldown, drill through and interrogate the data with the ability to quickly alter or pivot a diversity of views. All data operations are reinforced by the data governance and compliance strategies.

Assurance

Run and repeat. Test migrations and parallel run reconciliations are executed multiple times and defects found in reconciliations are managed and addressed. Rehearsals are done to determine the exact timing of a migration run and mock reconciliation sign-offs are fulfilled to re-enact the processes to be followed on production day.

Deployment

Final migration run to move source data to the target system within the production environment. Full sign-off through reconciliation reports and target system testing is done. Decommissioning of the legacy systems.

TARGET

Any Source, any Target, with any Tool

Sources

Sources

Tools

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Targets

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FAQ

What software tools will be used for my data migration project?

While we have preferred tools, our data migration framework is tool agnostic. Based on the specific requirements of your data migration needs, the best data migration tool will be used for migrating your data.

How long does a typical data migration project take?

All data migration projects are different, and the duration of a data migration project is determined by different factors, such as – number of sources, quality of the data and the level of unstructured data in the sources.

Can I migrate data from many different sources in the same migration process to a single target?

Yes, Digiata is equipped with the necessary skills and required tools to allow data migration to be done from multiple different source systems providing data in a variety of different formats.

What privacy and security elements will be applied during a data migration process?

Any data flagged as PII (Personally Identifiable Information) will be kept secure throughout the data migration process by means of Dynamic Data Masking and/or encryption.

Will data be “cleaned” in a migration process, and if so, how?

Yes, Data cleansing will form part of the migration process and can be done using three different approaches; at source, in-flight and at target. We will guide you on the best approach for your project.

How will duplicate records be catered for in a data migration process?

Identification and handling of duplicate records is done by custom rules implemented in our migration process.

How many times will a data migration be executed before the final migration into the live environment is done?

Multiple times. The number of test/dry runs will be dependent on the data quality at source, the amount and complexity of transformation applied and the migration strategy which could be either big bang or campaign based. A typical data migration project will plan for between 3 and 5 test/dry runs before the final migration is executed.

How does Digiata deliver projects remotely?

We have a proven remote working methodology, which includes international travel for on-premises work such as requirements definition, progress workshops and deployment. Our data migration framework provides defined phases which allows us to precisely plan and carry out remote work. Our experienced software engineers have successfully delivered a number of large data migration projects in this manner.

Testimonials

AML Manager

“The team is pro-active, knowledgeable and extremely competent at delivering all that is required – and more!”

Data Migration Lead

“The team is an amazing bunch of people to work with, and they are always professional.”

CARD Modernisation Manager

“Digiata has diligently delivered on our project tasks—and in some cases even more. The team is approachable and is always looking for ways to better improve the processes. Digiata is always prepared to go the extra mile and our team enjoys working with them.”