Mergers & Acquisitions Advisory
Successful M&A is about the ability to identify hidden risks and make the most of opportunities. With us, you will reduce investment risk to a minimum.
We will help you reduce investment risks and uncover hidden value.
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Professional services for all phases
We will guide you through all phases of a merger or acquisition of your company. We have in-depth expertise or focus on specific domains in the most critical M&A processes.
Deep insight into organizations
Battle tested due diligence methodology
Hands-on approach
Save as much as 80 % of the necessary workload before due diligence
PRE-MERGER
Data Consolidation & Anonymization
Preparation of the analytical data set of the due diligence purposes and providing necessary information about future synergies.
Legacy Data Quality Assessment
Detailed assessment of current data quality level for the future detailed planning of data migration. Remediation actions included.
Customer Profiling & Portfolio Overlap
Understanding the profile of the merged portfolios of the two banks and overlap between the portfolios.
Target Segmentation Clustering
Customer segmentation based on the consolidated information from the two merged entities (including consolidated customer exposure).
Branch Product Portfolio Analysis
Understanding of the existing geographical structure of the two customer portfolios.
Resolve regulatory compliance - soon after the legal merge
POST-MERGER DAY 1
Intermediary Consolidated Regulatory Reporting
Resolving regulatory reporting compliance even without integrated IT landscape might be mundane job to do. We have done it before.
Data Migration Approach
Depending on the overall migration approach (phased, big bang), necessary strategy have to be elaborated also for data migration. We do have plenty of experiences and accelerators.
We will guide you through a smooth data migration
POST-MERGER INTEGRATION
Data Migration
End-to-end data migration including source data analysis, understanding of the target system needs and implementation of the transformation rules/procedures.
Data Quality Issues Resolution
Automated resolution of the identified data quality issues and/or transparent reporting and input for the manual cleansing activities.
Migration Reconciliation
Comparison of the financial and non-financial figures and dimensions between legacy world and target core-banking ecosystem.
Customer Consolidation
Target consolidation of the customer portfolios of the two merged banks.
Business Intelligence Adoption
Adjustments to the BI and Data Warehousing ecosystem (mainly for the purpose of regulatory reporting).
Fast and smooth M&A
Enterprise Operations Due Diligence
Our industry experts help investors to perform detailed on-site reviews of company operations in order to properly evaluate risks and opportunities associated with the planned investment.
Enterprise IT Architecture Due Diligence
Adastra is your one stop partner for the conversion of existing IT ecosystems into the modern, cloud-first, secure, stable, and scalable solutions tailored to provide your business with maximal competitive advantage.
Data Migration
Are you planning to implement a new information system or make a fundamental change in your existing system? Do you need to access information about your customers, products and processes in a centralized database?
Master Data Management
To successfully carry out a Master Data Management project, a complex arrangement of activities have to be carried out across multiple channels and platforms in both the IT and business sectors.
Data Catalog
Welcome to the new age where a data catalog grows and improves automatically.
Our Tools
Data Migration Engine
Management console for very controlled execution of the data migration. Prompt and transparent overview of migration success, erroneous migration records, suggestions for the remediation actions.
Customer Consolidation Engine
Robust platform for the customer match and merge, consolidation, unification and mastering. Predefined matching and merging rules and great kick-started for either initial customer consolidation or target consolidation during the post-merger integration.
FinReCo: Reconciliation Engine
Real-time reporting of reconciliation differences between legacy and target world. Supporting the (not only financial) reconciliation by automation of the reporting.
Data Quality Framework
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.
Our Partners
Case Studies
Equa Bank clients were fully migrated to Raiffeisenbank in 12 hours
When Equa Bank was being mergedintoRaiffeisenbank in November 2022, we handled the migration of Equa Bank’s client data into Raiffeisenbank’s CRM system. We also ensured the client master data was propagated to the bank’s core systems.
Automatic categorization for 98.5% of card transactions
With millions of clients conducting millions of operations every day, the bank needed to automatically assign a unique category to every banking transaction (card...
Just-in-time loan offers: a 10x higher conversion rate
Together with the bank, we used several years’ worth of transaction descriptions and a number of transactions of a specific type to identify a...
An increase in impressions among the target group: a 10x bigger target group
Online advertisers want to target their campaigns accurately and reach the right audiences. Consequently, online media operators have turned to Adastra to help them...
Get inspired on our blog
Adastra becomes a strategic partner of Škoda Auto University. Its specialists will teach data management, data science, and artificial intelligence courses
Adastra becomes a long-term strategic partner of Škoda Auto University. Its experts will be involved in teaching data management, data science, and artificial intelligence...
Unraveling the Future: Top 8 Data Management Trends for 2023 and Beyond
The digital landscape is evolving at an unprecedented pace, and with it comes a new set of challenges and opportunities for IT professionals, data...
Good data management and the gap between IT and business are the most burning issues for large Czech companies
Large Czech companies consider the biggest challenge they will face in the next three years to be good data management and business’ inability to...
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