MINDSPIRE DELTA
Data Migration Tool
A powerful, ready-to-use, and parameterizable data transformation and process management engine.
Extracting, Transforming and Loading data of banks using MINDSPIRE DELTA Data Migration Tool
DELTA was built to support our data migration projects in the banking and financial services industry, perfectly complementing our Data Migration Services and proprietary data migration methodology.
Discover how MINDSPIRE Consulting’s universally applicable, platform and system independent engine can speed up data migration processes, while reducing costs and ensuring data validity!
Facing the shortcomings and limitations of the existing standard data migration tools and processes, our ETL professionals have developed a custom solution designed for the specific requirements of banking data migration.
Our banking data migration tool is continuously improved, tailored throughout the years for the data migration projects of the financial institutions.
The powerful data migration engine’s features include loading, transforming, processing, validating, and controlling the entire ETL process.
Main challenges and risk associated with banking data migration
Facing a changing business and technological landscape and growing client expectations, banks constantly need to improve their systems and processes, upgrade their existing solutions, implement new software or hardware into their complex IT architecture, or replace their core banking systems. Also, following a merger and acquisition, the systems of the two institutions must be integrated.
Most of these activities include transferring large amounts of data from source to target systems. Although on the surface these seem to be standard ETL projects, usually the data to be migrated differ in format, overlap with each other, may contain duplicated data or even errors.
According to research, only 36% of data migration projects keep to the forecasted budget, and only 46% were delivered on-time.
Data migration projects performed by banks and financial institutions are not exempt, they entail significant amounts of risk, and many such projects suffer serious problems or fail.
Some of the common challenges that might occur during data migration projects
Insufficient resources: When the complexity of a data migration project is underestimated, it results in lack of manpower or unrealistic deadlines.
Unclear expectations: The exact requirements for the ETL tasks might not be well defined, which might lead to performing unnecessary tasks, or missing the critical steps.
Lack of proper tools: When the data migration team has no access to the right applications needed for the ETL project, the process will take significantly longer, and it will become error prone.
Unidentified data quality issues: The data migration team might not have a complete overview of the data sources, which might result in loading low quality data into the target systems.
Lack of collaboration between parties: Since data migrations often involve several internal and external participants, without effective cooperation the project can easily go astray.
Inadequate testing: Due to insufficient resources or unrealistic deadlines validation of the migration process might be limited, which in turn can lead to incomplete or inaccurate results in the target systems.
Introducing MINDSPIRE DELTA Data Migration Tool
Our powerful migration engine is designed to cover the entire data migration processes of banks, including these main phases
Load
Easily stage and validate source data from any source system. Setup source structures, choose from predefined source data import methods, such as csv, xls, xlsx, db link, and more. Possibility to restructure source data to prepare for more effective and transparent transformation, using basic data cleansing functions. Filter source data based on business or data validation requirements.
Transform
Setup target structures. Create every single transformation rule with a built-in powerful editor, containing many predefined functions. Build-in validations capabilities already in transformation rules. Test, preview and flexibly modify the rules. Use semi-automated version control and automatic documentation. Setup target data export methods, such as csv, xml, xls, xlsx, db link, and more. When needed, custom SQL codes can be inserted at any point of the transformation process.
Process
Define even very complex data migration process with the easy-to-use designer and select from predefined process steps. Optimize the execution with parallel processing.
Validate
Easily create a customized report or use any built-in template reports for data validation or process monitoring. Reports can be executed automatically within predefined or ad-hoc processes.
Control
Identify dependencies and design a fully automated data migration process, orchestrated, and monitored from a graphical interface. Even scheduled execution is possible containing automated notification functionalities providing up to date information about the progress. For each run an execution log is automatically created with the detailed results.
Main benefits of using MINDSPIRE DELTA Data Migration Tool
Quick installation and easy to use solution
- Our tool is instantly applicable, the implementation process is simple.
- It is based on standard technologies (Java, SQL, open-source software).
- Easy operation.
End-to-end migration support functions
- Assisting migration reconciliation.
- Data cleansing, deduplication.
- Automated reporting solutions.
Continuously improved engine
- Effective and stable process execution even with large amount of data.
- The tool is continuously developed and improved based on end-user’s feedbacks.
Built-in control and automated report points
- During the transformation process the currently executed elements and the available results are easy to identify.
- No additional report has to be developed to track the process.
Universally applicable solution
- The application is flexible and sector independent.
- Contains not only standard, but special transformation functions as well to simplify the transformation logic for business analysts.
- Additional developer skills are not required. The whole transformation process can be setup via parametrization.
Platform and system independent capabilities
- Our data migration tool is based on standard, platform independent technologies.
- Heterogenous systems can be connected as source or target.
Cost effective, out of the box ETL application
- The application’s functionality, such as built-in validation, reports, and control reduces the cost of migration projects.
- The application’s functionality covers the whole transformation process. Additional applications or developments are not needed to execute the processes.
Our related services
MINDSPIRE Consulting provides various connected services and experts for the DELTA Data Migration Tool
Our Banking Data Migration references
– During the last decade MINDSPIRE Consulting has gathered extensive experience in different data migration projects in the banking segment, including:
– Full bank migration projects, mergers, and portfolio purchases.
– Core Banking System migration, including new system integration and upgrade projects as well.
– Satellite system migration, such as card, collateral, CPM solutions.
Our Banking Data Migration Methodology
MINDSPIRE Consulting has developed a banking industry specific data migration methodology framework, which covers the complete data migration process, including the following phases.
Data migration tasks
- conceptual design
- logical design
- physical design
- testing
- rollout
Post migration activities
- extraction
- data cleansing
- deduplication
- transformation
- uploading
- reconciliation
- coordination
- project management
- quality assurance
- rollout management
- test coordination
Technical overview of our data migration engine
Source systems
Flexcube, Finastra (MIDAS, Equation), Symbols, SAP, Sopra Banking Amplitude, Sia (CAMS), Temenos T24, Vision+, Bankmaster
Target systems
Flexcube,Finastra (Equation), Symbols, SAP, Asseco Solutions, Bankway, Sia (CAMS), Appello, Dorsum (Clavis), Bpc, Areus
Technologies used
Business logic: Defined in Java and PL/SQL.
Database management: Using Oracle database.
Application server: Apache Tomcat.
User interface: Google Chrome browser.
Source and target data transfer: Database, Flat file, csv, xml.
Reporting and documentation: Excel, PDF.
Architecture components
Database server
Application server
Terminal server
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Our latest Data Migration References
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