Real-time, ‘progressive’ data migrations
Banks are increasingly prioritising core banking transformation in order to meet evolving customer expectations and maintain competitiveness in the face of new challenger banks.
Whether it’s migrating to a next-generation banking platform, transitioning to the cloud, or consolidating multiple legacy systems, transferring a portfolio or go through a merger, data migration is a mission-critical process that underpins digital transformation.
Data Migration is one of the biggest bottlenecks and according to Gartner 83% of Data Migration projects fail or exceed their budgets and schedules.
CHALLENGES
Data migration demands impeccable timing and precision
Incomplete, inconsistent, or outdated data from legacy systems can complicate the migration process, making it difficult to ensure accuracy and reliability in the new system.
Data resides in multiple systems and is stored in different formats and structures, making it difficult to map accurately. Data inconsistencies, duplicates, and outdated records add further complexity to the cleansing process. No clear consolidation is taking place.
Traditional migration methods, don’t support real-time, end-to-end involve hand-coded scripts, manual data cleansing, and Excel-based reconciliation. These manual efforts increase the risk of human errors, inefficiencies, and prolonged timelines.
Different teams and departments often rely on varying versions of data, leading to discrepancies and misalignment creating challenges in decision-making, reporting accuracy, and overall data integrity during migration.
We make even the most complex migrations Simple n’ Easy
At Validata, we bring a 20-year experience and expertise from managing more than 80+ successful core banking migration projects, helping banks overcome challenges with precision, efficiency, and confidence. Our proven methodology, domain banking knowledge, and our advanced next-generation, end-to-end dynamic data platform ensure that every migration is executed with minimal disruption and maximum impact.
The migrations we manage include:
- Core Banking Migrations & Upgrades
- Data conversions due to mergers and acquisitions
- Cloud Migrations
- Card Migrations
- ISO20022 Migration (MT > MX)
- Customer Data Onboarding
- Migrating data when transferring a portfolio of business
One platform for Smart Automated Data Migration + Financial Reconciliation across massive data sets
ConnectIQ is an intelligent, no-code all-in-one platform to support both data migrations and data and financial reconciliations. It can perform full Extraction, Transformation, Loading, Validation and Reconciliation of financial and static data, ideal for large-scale data migrations – both on cloud and on-premise.
It is unique in its ability to merge and match data between different sources and ensure a smooth and efficient approach when migrating the data into the new system, reconciling them and integrate and harmonize content after mergers and acquisitions.
Data conversions that stay accessible and secure
Lower costs and mitigate risks by converting and integrating legacy system data, along with merger and acquisition content, into your existing platform. Consolidating and improving data within a single database enhances scalability and enables more efficient service for your accountholders.
Seamless, end-to-end data migrations
We ensure effortless, reliable, and adaptable data connectivity through generic technology for any core or payment or transactional legacy modernisation system, whether commercial or homegrown, such as:
Proven and Demonstrable ROI
ENABLE FASTER GO-LIVES!
- Saves up to 24 man months from code writing (building Extraction code, Optimizing, Changing)
- Saves 500 mandays from the use of a unified all-in-one platform for Data migration and Financial Reconciliation
- Increased quality and 60% reduction in mapping implementation time due to the Unique business model approach
- 50-70% savings in time and labor costs due to reduced manual effort and faster migration execution
- 75% savings from Automated Data Mapping
- 50% savings from automated consolidation and merging of data
Game-Changing features
ConnectIQ seamlessly connects, understands, and ingests data from diverse sources, including databases, files, APIs, and financial messaging systems The data is automatically catalogued and modeled into the ‘Digital Twin’, providing a comprehensive representation of your data assets. Any changes to the data models are detected and captured automatically. The AI engine automatically scans and maps all the relationships and associations between the tables, normalizes the data and classifies them.
Seamlessly recreate your entire banking business model, enabling you to integrate and migrate data from multiple sources (applications, databases and file types), maintaining all the data relationships and links.
Unlike traditional methods, the platform supports real-time migrations enabling continuous data movement while keeping both the legacy and target systems synchronized. This approach eliminates downtime, ensures that the most up-to-date data is migrated, and significantly reduces reconciliation efforts.
Validata has disrupted the traditional approach to data mapping, which has been a manual, time-consuming and expensive approach using spreadsheets. The platform’s Data Mapping Sheets (DMS Design Studio is designed to accelerate and simplify the data mapping analysis stage, enabling you to design directly in ConnectIQ your data mappings for multiple source and target systems, with versioning, tracking of changes, data lineage and transparency. You can also import / export your DMS files and automatically generate data transformation schemas from your data mapping templates.
ConnectIQ supports ETL, ELT and non-ETL data flows with simple, no-code, ‘drag and drop’ techniques.
It includes its own data storage system, encompassing both metadata and physical storage, which also serves as a high-performance staging area. It enables scalable and incremental data uploads, and offers configurable selection conditions along with visual metadata editing for enhanced flexibility.
ConnectIQ has more than 60 pre-built transformation templates and more than 80 pre-built business driven transformation rules that can be used on demand.
Data masking ensures the security and compliance of sensitive financial information during core banking migration. It automatically identifies fields containing PII, account details, and transaction data, preventing exposure during the transition. It automatically identifies those fields that contain sensitive data values, and leveraging data masking algorithms, that do not require programming or coding skills , it irreversibly masks them at high speed, allowing faster security and compliance even in large environments without affecting overall delivery schedules.
Improve data quality with ConnectIQ’s powerful data cleansing, profiling and deduplication-capabilities. It automates and executes validation checks during the data extraction process to detect and address issues such as duplicates, missing data, incorrect formats, and other inconsistencies. Additionally, the platform supports comprehensive testing of migrated data. Ensure trust in the data, which is critical to any data migration effort!
The platform’s automated migration runbook and orchestration engine automate key tasks like mock runs, dress rehearsals, and task execution, improving efficiency and reducing manual oversight.
- Fully unattended execution by automating the migration runbook while considering dependencies between the loading sequences of various business streams.
- Supports versioning of builds, loads, and data, with the ability to revert to previous versions if necessary.
If required, ConnectIQ can migrate vast amounts of historical transactions, customer records, and regulatory data and accurately transfer them to the new platform. This process involves data extraction, cleansing, transformation, and validation to maintain data integrity and usability.
The platform has a pre-built reconciliation report mechanism. Reconciliation can be done on both Technical and Business level. Each ETL Stage can be reconciled or the reconciliation can happen on the overall process (end-to-end), with Four-stage reconciliation reporting:
- Qualitative reports
- Error reports
- Quantitative reports
- Audit Trail and summary reports
Enables archiving of historical data in its internal data storage to decommission legacy applications, and keep data for backup and recovery purposes.
The platform has AI-powered data lineage capabilities that can help you understand data flow relationships and also brings insights into “control” relationships, such as associations and interdependencies, and logical-to-physical models.
Audit history is available on the data, metadata, data mapping schemas and each data instance. At all levels it is possible to see when the object was created, each amendment and who performed the action.
You can go back to previous revisions, track history and more. With version control, the data sets are automatically updated and replicate any changes in the system requirements across projects and versions.
Finding the Right Approach for your Core Banking Transformation
We support both big bang, progressive and co-existence approaches, depending on the business goals, measured risks, migration volumes and technical infrastructure:
ConnectIQ supports a ‘progressive’ (phased) migration approach, where migration of data happens in several runs over several weekends without interrupting the bank’s workday operations. This approach brings Agile experience to data transfer. It breaks down the entire process into sub-migrations, each with its own goals, timelines, scope, and quality checks.
Using ConnectIQ as a staging area enables the migration of the next data segment while processing only the deltas—capturing additions and modifications made since the previous migration.
Following this approach, migration and reconciliation of all bank branches and modules happens in one weekend. ConnectIQ is used both for migration processing and for building the technical and financial reconciliation reports.
It can also be used as an archiving solution for the legacy system historical data.
The migration of core banking systems using the coexistence approach ensures a smooth transition by enabling old and new systems to operate in parallel during the migration period.
ConnectIQ is orchestrating data synchronization between the systems, minimizing service disruptions and ensuring real-time consistency.
Key Benefits
With built-in validation checks, automated data mapping, and reconciliation processes, the platform ensures that only high-quality data is migrated. This leads to fewer post-migration issues, reduces operational risks, and ensures compliance with data integrity standards.
The platform automates and orchestrates the entire data migration process, reducing manual intervention and ensuring that data is moved accurately and efficiently across systems.
Unlike traditional batch migrations, Validata supports real-time, progressive migration, ensuring continuous data movement without service disruptions. The platform synchronizes data between legacy and target systems, eliminating downtime and reducing reconciliation challenges.
Validata can process massive volumes of structured and unstructured data across multiple banking systems, enabling seamless migration for global banks, mergers, and cloud transitions without performance bottlenecks.
By replacing manual, error-prone migration efforts with intelligent automation, Validata reduces workload and saves up to 24 months of manual coding efforts. Teams can focus on strategic initiatives instead of time-consuming data extraction, mapping, and reconciliation.
Validata accelerates migration timelines, achieving up to 75% faster mapping, 50-70% savings in time and labor costs, and a 60% reduction in implementation effort—enabling banks to go live faster.
Frequently Asked Questions
What is real-time progressive data migration, and what are the benefits of this approach?
Real-time progressive data migration is an approach that enables continuous synchronization between the source and target systems while keeping both operational. Instead of a single, disruptive cutover (big bang approach), data is migrated in stages incrementally, ensuring minimal downtime and reduced risks. This method is particularly beneficial for organisations that require uninterrupted operations, as it allows them to validate and test the new system progressively while still using the old one. Additionally, it ensures data consistency, prevents data loss, and provides flexibility in case of rollback or adjustments during the migration process.
How do you ensure data integrity during the migration process?
Ensuring data integrity and quality is crucial throughout the migration process. Validata ConnectIQ includes features like data validation during extraction, format and content checks, and data deduplication. Its reconciliation engine identifies missing records, migration failures, and duplicates based on predefined business rules, reducing errors and enhancing data accuracy. Additionally, the platform’s data lineage features track all data activities, ensuring transparency, compliance, and auditability.
Does the platform support data masking for sensitive data?
Data masking enhances security and compliance by protecting sensitive financial information during core banking migration. It automatically detects fields containing Personally Identifiable Information (PII), account details, and transaction data, preventing unauthorized exposure during the transition. Using advanced masking algorithms that require no coding or programming skills, it irreversibly conceals sensitive data at high speed. This ensures robust security and compliance, even in large-scale environments, without impacting overall delivery timelines.
Do you support migration and archiving of Historical Data?
Approximately 60% of migrations include archiving of old and historical data. Archiving helps to reduce the scale requirements of the migrated system(s). A crucial step in archiving is data profiling—identifying and understanding all relationships within the data. Validata ConnectIQ platform can serve as an advanced archiving system that preserves these data relationships and dependencies. Additionally, it enables monitoring of retention policies to ensure compliance with legal requirements and data governance standards.
Do I need a different tool for each migration stage and reconciliation?
No, Validata ConnectIQ is an all-in-one platform that supports every stage of the migration process, including data and financial reconciliation. It covers all key activities such as data mapping definition (DMSs), analysis, cleansing, masking, reconciliation, testing, and the full ETL (Extract, Transform, and Load) process. With ConnectIQ, there’s no need for multiple tools—it streamlines and automates the entire migration lifecycle within a single solution.
