Mergers, Acquisitions and Core System Migrations

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

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.

Trusted by

The transition and integration of core banking systems is the most challenging for banks. We are delighted that Adastra’s team of expert consultants were able to support the entire data migration lifecycle. Their commitment to the task has made a hugely positive impact for all stakeholders.

Jan De Breackeleer
General Manager Core Transformation Office, KBC

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 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.

FAQs

What is Adastra’s Data Migration Engine?

The traditional data migration method of replacing one system with another with the same functionality and features is often insufficient for modern enterprise organizations that have complex, feature-decentralized architectures.

Adastra’s Data Migration Engine is an accelerator tool that empowers organizations to smoothly migrate vast and complex amounts of data from system to system. Learn more.

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