The details
Digiata offers financial services companies the best of both worlds. First, an industry-leading comprehensive data migration framework that is based on two decades 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.
Data Migration
Framework
How we work
DataShift
What is DataShift?
A powerful tool designed to complement our robust data migration framework. DataShift streamlines the migration process by offering source and target configuration, data validation, data reconciliation and reporting capabilities. With its comprehensive features, DataShift gives any data migration project a running start, ensuring efficiency and accuracy from day one.
Modular Design
Easily configure the data migration process & workflow to suite your specific migration requirements.
Design + Configure
Design and create data validation rules and data reconciliation quickly and easily from the front-end.
Data Transformation
Create any data transformation and data translation from simple to complex with all the power and flexibility you need.
Dashboards + Reporting
Drill-through and drill-down reporting capabilities to get to the source of all data migration activities.
Operational Reporting
Our Operational Reporting solution provides a powerful, streamlined approach for managing all your reporting needs. It connects seamlessly to various databases and data sources, allowing users to design reports, automate execution, and track performance with built-in logging for easy auditing. Whether it’s regulatory reporting, month-end financials, or ad-hoc reports, our system ensures timely and efficient delivery. The solution significantly reduces development time for engineers and lowers the cost of delivering reporting functionalities to clients. With enhanced quality, accuracy, and consistency of reports, clients can also build their own reports as needed, eliminating the need to engage third-party developers. Our tool serves as a single point of maintenance, simplifying your tech stack by providing a unified reporting solution. Through API integration, third-party systems connect effortlessly, extending functionality across diverse platforms with flexibility and ease.
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 detailed requirements and migration plan. Conduct data acquisition, sensitivity classification, and rule categorization. Ensure compliance with data sensitivity, fraud, client privacy, and illegal data transfer guidelines.
Analysis & Design
Analyze data from sources, document the data dictionary, and map source to target fields. Identify and validate business rules. Integrate data governance standards into design to ensure accuracy, trust, and compliance across the project.
Configuration & Analytics
Implement the automated migration solution, configure data load processes, and apply business rules. Build data models for analytics and dashboards using leading tools to uncover insights, with drilldown functionality and reinforced governance strategies.
Assurance
Execute and repeat test migrations, managing defects found in reconciliations. Perform rehearsals to finalize migration timing, with mock reconciliation sign-offs to simulate the processes for a smooth production day execution.
Deployment
Execute the final migration, transferring source data to the target system in the production environment. Complete sign-off via reconciliation reports, target system testing, and decommissioning of legacy systems.
Process Optimisation
Analysis each phase of the data migration to identify areas for optimisation. Optimising workflows, validation, data quality, data transformation, data translation, reconciliation and reporting we ensure that the migration process is as efficient and effective as possible.
Defect Management
Implementation of rigorous defect management processes and protocols to identify, track, and resolve any issues that arise during migration runs. This eliminates risk and maintains data integrity throughout the migration process. Mock migrations, parallel migrations and reconciliations are executed multiple times, ensuring defects discovered during the migration runs are all addressed.
Full Reconciliation and Sign-off
Comprehensive data reconciliations are conducted to verify that all data has been accurately transferred. This is crucial step to ensure the data has been transferred completely and correctly from source to target.
Timed Data Migrations
Alignment of the migration runs, end-to-end with go-live timeline is of critical importance. Careful attention is given to schedules and execution times during migration runs to ensure that all milestones are met in time to facilitating a smooth transition to the target system without impacting operational timelines. Technical rehearsal and dress rehearsal migration runs are executed as well as mock reconciliation signoffs, reenacting the processes that will be followed on production day.
Testing and Backups
To ensure that every aspect of the migration is covered, thorough target system testing, backup, archiving, data reconciliation and sign-off and decommissioning activities are completed. This ensures that data is not only successfully migrated but that all aspects of the migration has been completed successfully.
Data Migration
by the numbers
1,4T+
Total Records Migrated
17
Countries
40+
Projects completed
FAQs
Common questions and answers
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.