Mergers, Acquisitions and Core System Migrations

Leverage Adastra’s proven core system migration methodology and accelerators to streamline your data migration journey.

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I can say with Adastra, from the very outset, I never had the feeling that I was talking to a vendor. Nor did I have the feeling that they were talking to just another client. We had open, transparent communication, and very good cooperation on a day-to-day basis and that was a big part of the success. For us, teaming up with Adastra for the data migration project was the right choice to make. I recommend Adastra to anyone who is looking into such a thing.

Christof de Mil

Country Manager of KBC Group Bulgaria and CEO of UBB

United Bulgarian Bank

Raiffeisenbank successfully acquired Equa Bank and fully integrated it under the Raiffeisenbank brand. Thanks to the dedication and professionalism of the Adastra team, combining the data from the two client bases went smoothly and according to plan. Adastra also ensured continuous regulatory reporting throughout the course of the acquisition. Adastra once again confirmed their excellence in data migration and working with data in general.

Miloš Matula

COO and Member of the Board of Directors

Raiffeisenbank

Simplify Complex Data Migration Processes

Mergers and acquisitions (M&As) are rising in popularity among banks and financial institutions across the world . However, performing them can be complex due to robust volumes of data; differing systems, technologies, and corporate cultures; and regulatory requirements.

Whether you are performing a merger, acquisition, or core system migration, we will guide you through all phases of your journey. Leverage our team of 2100+ global, experienced data and analytics professionals and proven accelerators to make your next M&A a success.

Mergers and IT Integrations

Why Adastra?

An Experienced Partner

We have performed countless other migrations and know the ins and outs and complexities that can arise during the process, and how to solve them.

Hands-On Approach

We focus on collecting deep insights into your business to understand your specific requirements. We take a hands-on approach to ensure your organization’s needs are prioritized each step of the way.

Battle-Tested Processes

Adastra has a proven step-by-step methodology, a unique IT merger competence center and a variety of accelerators to speed up the merger and acquisition process and ensure results.

Reduced Manual Labour

Save as much as 80% of the necessary workload before due diligence with our Data Migration Engine.

Results-Oriented

We have a migration success ratio of nearly 100%, so you can guarantee your organization’s merger or acquisition will be completed on schedule.

Data Quality Excellence

We solve any data quality issues before the migration or acquisition, ensuring a smooth process. Our team of experts excels at preparing golden customer records, consolidating information from both organizations.

What We Do

Pre-Merger

Data Consolidation and Anonymization

We will prepare the analytical data set and provide necessary information about future synergies.

Legacy Data Quality Assessment

Receive a detailed assessment of your organization’s current data quality level for the future detailed planning of the data migration. Remediation actions are included.

Customer Profiling & Portfolio Overlap

We work to gain a deep understanding of the two banks’ merged portfolios and any overlap between them.

Target Segmentation Clustering

We will perform customer segmentation based on the consolidated information from the two merged entities (including consolidated customer exposure).

Brand Product Portfolio Analysis

Lastly, we conduct an analysis to understand the existing geographical structure of the two customer portfolios.

Post-Merger (Day 1-100)

Intermediary Consolidated Regulatory Reporting

We will resolve regulatory reporting compliance even without an integrated IT landscape.

Data Migration Approach

Depending on the overall migration approach (phased, big bang), it may be necessary to elaborate on data for the migration.

Post-Merger Integration

Data Migration

We perform the end-to-end data migration using our Data Migration Engine, including source data analysis, understanding of the target system needs, and implementation of the transformation rules/procedures.

Data Quality Issues Resolution

Receive an automated resolution of the identified data quality issues and/or transparent reporting and input for the manual cleansing activities.

Migration Reconciliation

A comparison of the financial and non-financial figures and dimensions between the legacy world and target core-banking ecosystem is prepared.

Customer Consolidation

We complete a target consolidation of the customer portfolios of the two merged banks.

Business Intelligence Adoption

Lastly, adjustments are made to the business intelligence (BI) and data warehousing ecosystem for regulatory reporting.

Our Approach

Data Migration Engine

Adastra’s Data Migration Engine is a management console for very controlled execution of the data migration. It provides a prompt and transparent overview of migration success, erroneous migration records, and suggestions for remediation actions.

Customer Consolidation Engine

Our Customer Consolidation Engine is a robust platform for the customer match and merge, consolidation, unification and mastering. There are predefined matching and merging rules making it a great kick-start for either initial customer consolidation or target consolidation during the post-merger integration.

FinReCo: Reconciliation Engine

Our Reconciliation Engine provides real-time reporting of reconciliation differences between legacy and target world. This supports the (not only financial) reconciliation by automation of the reporting.

Data Quality Framework

Our Data Quality Framework provides self-learning, outlier detection, duplicate detection, standardization rules, issue resolution, change notification, detection of the data patterns, end-less variety of the expressions and issue resolution mechanisms.

Reduce Risk in Your Next Merger or Acquisition

Let’s discuss your deal and IT landscape and define the data migration and integration approach that protects value.

Mergers and Acquisitions Advisory FAQ

How does Adastra support mergers and acquisitions?

Adastra guides banks and financial institutions through every phase of a merger, acquisition or core system migration. Our team of 2,100+ data and analytics professionals combines a step-by-step methodology, an IT merger competence center and proven accelerators, so complex data volumes, differing systems and regulatory requirements do not slow the deal down.

Pre-merger, we consolidate and anonymize data to show future synergies, assess legacy data quality with remediation actions, profile customers and portfolio overlap, cluster target segments from consolidated customer exposure and analyze brand and product portfolios by geography. This gives you a clear, data-backed picture of both organizations before integration planning starts.

In the first 100 days, Adastra provides intermediary consolidated regulatory reporting, so you stay compliant even before the IT landscapes are integrated. We also define the data migration approach, phased or big bang, and prepare the data it requires, so the post-merger integration can start on a solid, well-planned foundation.

We perform the end-to-end migration, from source data analysis and target system requirements to transformation rules. Data quality issues are resolved automatically or reported for manual cleansing, financial and non-financial figures are reconciled between legacy and target systems, customer portfolios are consolidated and BI and data warehousing are adjusted for regulatory reporting.

The Data Migration Engine is an Adastra accelerator and management console for tightly controlled migration execution. It moves large, complex data volumes between systems and gives a prompt, transparent view of migration success, erroneous records and suggested remediation actions. It can save as much as 80% of the necessary workload before due diligence.

Besides the Data Migration Engine, Adastra uses a Customer Consolidation Engine for customer match and merge with predefined rules, the FinReCo Reconciliation Engine for real-time reporting of differences between legacy and target systems, and a Data Quality Framework with outlier and duplicate detection, standardization rules and automated issue resolution mechanisms.

Adastra has a migration success ratio of nearly 100%, so your merger or acquisition can be completed on schedule. KBC, for example, relied on Adastra’s consultants across the entire data migration lifecycle of its core banking transformation. We solve data quality issues before migration and prepare golden customer records from both organizations.