TEMENOS T24™ Integration

Big Data Lake for TEMENOS T24™

t24 2018-03-14T14:01:45+00:00

Big Data, In-memory computing and TEMENOS T24™ integration made simple and smarter!

We bridge the gap and help financial institutions of all sizes to better analyze and understand data at scale, improving time to results and decisions.
With hTRUNK’s unified data platform, banks can deal with the massive data volumes more efficiently and cost effectively.

How hTRUNK™ complements Temenos T24™?

hTRUNK platform complements core banking system and enables banks to build a modern data architecture leveraging Big Data technologies and In-Memory computing to bring down the operational cost and improve the operational efficiency.
The platform provides a configurable component which understands the Temenos T24™ complex data structure and creates an In-Memory relational table which can be consumed and transformed like a traditional RDBMS table.

hTRUNK’s Temenos T24™ component reads the data from the underlying Temenos T24™ data store, applies the metadata required for understanding the XML format, normalizes the complex multi and sub value XML’s, store it as an In-Memory virtual table, or write the data to distributed persistent storage on Data Lake built on Apache Hadoop.

The data In-memory or from persistent store can be used for ad-hoc querying or reporting or for any data engineering needs like integrating with external systems or other applications within Temenos T24™ or building a data warehouse.

With rich set of pre-built drag and drop connectors and components, the data from Temenos T24™ system data can be moved to Apache Hadoop in batch mode or in real time supporting a variety of use cases.

 

Temenos t24 etl Big data hadoop engineering

Features and Benefits of Integration

Plug and play

hTRUNK does not need any change to existing architecture and can get going in minutes, the platform runs completely independent.

Plug and play

hTRUNK does not need any change to existing architecture and can get going in minutes, the platform runs completely independent.

No special skills required

No need to learn Big Data system to use, hTRUNK’s components can be used with minimal T24 and database knowledge.

No special skills required

No need to learn Big Data system to use, hTRUNK’s components can be used with minimal T24 and database knowledge.

Move ETL, Reports and enquiries outside

Offload the extraction and reporting to Big Data system and let T24 do what is it meant for.

Move ETL, Reports and enquiries outside

Offload the extraction and reporting to Big Data system and let T24 do what is it meant for.

Remove barriers to Hadoop adoption

Delivers the best end-to-end approach for collecting, transforming and distributing data with Higher operational efficiency

Remove barriers to Hadoop adoption

Delivers the best end-to-end approach for collecting, transforming and distributing data with Higher operational efficiency

Unified access to all your data

Quickly collect Temenos T24™ data and correlate it with data from other platforms, providing a total view of the IT infrastructure.

Unified access to all your data

Quickly collect Temenos T24™ data and correlate it with data from other platforms, providing a total view of the IT infrastructure.

Higher control on extraction

No need to learn Big Data system to use, hTRUNK’s components can be used with minimal T24 and database knowledge.

Higher control on extraction

No need to learn Big Data system to use, hTRUNK’s components can be used with minimal T24 and database knowledge.

Extract data in any format

The after processing data can be extracted in CSV, Excel or written to external RDBMS systems.

Extract data in any format

The after processing data can be extracted in CSV, Excel or written to external RDBMS systems.

Create Pivots, charts and interactive visualizations

The data from Data Lake can be directly visualized using a rich set of charts, no need to move the data out of Data lake.

Create Pivots, charts and interactive visualizations

The data from Data Lake can be directly visualized using a rich set of charts, no need to move the data out of Data lake.

Implemented Use Cases

hadoop big data temenos t24

E-Statement Solution

hTRUNK’s Big Data based Temenos T24™ E-Statement component is designed to understand and prepare the data from T24 to send electronic statement of accounts in emails. The Tememos T24™ E-Statement generator leverages the In-Memory computing and distributed storage capability of Hadoop to quickly integrate the transaction data from statement entry with required customer information.

Key differentiator include

  • No restriction on data size, all the data from day one till date is online

  • Customize the email body and the statement template

  • Custom password generation and encryption

  • Completely operates on Big Data lake system with scalability and fault tolerance

  • Proven implementations completes the process within 60 minutes from data aquisition till sending the prepared statement.

hadoop big data temenos t24

Operational Reporting System

As larger proportion of payments and transfers are done electronically the volume of transactions processed by core banking system is growing rapidly. Modern data architecture complements Temenos T24™ to efficiently manage the silos of data and helps bank’s scale its business.
The Big Data Lake based modern data architecture helps to reduce the size of Core Banking transaction database and preserve the performance by offloading the queries and ETL workloads outside core banking system. hTRUNK’s T24 components understands the XML data structure and stores the data in a optimal way which suits from low latency ad-hoc to high through put batch queries.
Key differentiator include

  • Data from Temenos T24™ stored in Hadoop can be queried using standard SQL

  • Extract as CSV, PDF, Excel and send it over email or to a remote system automatically

  • Pre-Built components to integrate the data between applications and extract the required data into RDBMS or any file

  • Integrate the Tememos T24™ CBS data with external data

  • High performance data extraction : Our Customers have saved report generation time from hours to minutes

hadoop big data temenos t24

Central Bank Reporting System

Enforcing complex regulatory requirements has become easier with hTRUNKâ Central Bank reporting platform. Our extensive solution has all the features needed to help banking organizations to address challenges and keep pace with changing regulations. Banks and financial services organizations can improve accuracy, promptness, quality and efficiency of compulsory reporting requirements. It can also be implemented as a unified compliance platform to transform, prepare, and improve all data. Besides, it also streamlines the audit process across the organization leveraging big data technologies.
Key differentiator include

  • Historical reporting in one click

  • Significantly cost effective

  • Can connect to any data source

  • Comes with inbuilt visualizer and Complete Audit Trail

  • Expert team with successful implementations

hadoop big data temenos t24

Data Archival System

Historical data is very essential for businesses to meet increasingly stringent regulatory requirements, manage risk and perform predictive analytics that help improve business decisions.
hTRUNK’s modern approach to data storage and business analytics utilizes technologies like big data Apache Hadoop clusters to enable quicker access to historical data. The unified central data lake approach enables banks to store historical data of any size and from any legacy system. hTRUNK’s data archival policy management allows customers to frequently archive the data from any system and keep all the data online for any ad-hoc request.
Key differentiator include

  • Retrieve the archived data in quick time

  • Compress the data before archival and store optimally

  • Store data of any type from any system

  • Use the in-built scheduler to perform incremental load

  • Proven implementations of building archival system for a legacy core banking system post migration