Operational Data Store

March 21, 2018 | Author: rajsalgyan | Category: Analytics, Data Management, Business, Data, Technology


Comments



Description

Get the most out of data, cost efectively! www.infosys.com/finacle Universal Banking Solution | Systems Integration | Consulting | Business Process Outsourcing Finacle operational data store Banks grapple with colossal amounts of data, often dispersed across disparate systems in their environment. The arising challenges include: • Collation and consolidation of information with minimal manual intervention • Transformation of data into meaningful enterprise-wide reports and undertaking data analysis for business efectiveness measurement • Unifed presentation of data • Leveraging data to drive up revenues and proftability Decision makers are constantly driven to reduce the time taken and the costs incurred to mine and leverage the wealth of information available on customers, markets and operations. Consistent reports generation is deemed critical to empower end-users with relevant information, to better segment understanding, increase cross sell opportunities, personalize products, identify emerging opportunities, manage risks better and create diferentiation. A proven means of addressing these challenges is a technology enabler that ably manages the bank’s data. Finacle 02 Finacle 03 Finacle operational data store Functional architecture Finacle operational data store empowers banks with a secure and reliable technology infrastructure to derive optimal value from data, and meet a whole range of operational, business and strategic objectives. This is enabled through support for data access and retrieval on demand. The store can be efectively leveraged to meet the bank’s demand for reporting, risk management, analytics etc. The easy-to use operational data store provides decision makers an anytime-anywhere unifed view of the bank’s structured operational data. It supports consistency of data, playing a pivotal role in transforming key institutional data into measurable performance indicators. Source System Downstream Applications Finacle ODS Partner Solutions Customer Analytics Credit Analytics Operations Analytics Analytics (Finacle Analyze) Enterprise Customer View Enterprise wide Risk Unifed View D a t a L a y e r E T L & S t a g i n g A r e a Finacle e-Banking Finacle CRM Finacle Treasury Finacle Core Finacle Family General Ledger Human Capital Management Supply Chain Non Finacle Applications (For illustration) Rich Pricing Regulatory Risk Management Finacle 02 Finacle 03 Layer architecture Key modules Data provisioning • Comprehensive data provisioning across diferent subject areas (Loans and deposits, operative accounts, trade fnance, wealth management, CRM, e-banking, treasury, payments, pricing and regulatory related data attributes) • Extracts to support regulatory reporting, MIS reporting systems, asset liability management, risk management solutions and relationship- based pricing • Comprehensive business and technical metadata including provision on ownership, stewardship details Data model structure • Standardized data model, tuned for core banking systems, for yielding operational BI • Support for entity-based defnition and leveraging of Soft Referential Integrity (SRI) constraints for relationships • Flexible and highly customizable • Extensibility to accommodate new data sources and to provide additional data elements Technology features • Industry standard best practices on Extraction, Transformation and Load (ETL) implemented at architecture, design and base code levels Finacle Other RDBMS Applications Flat Files User Interfaces User Management Dispatch Management Data Security Management Metadata Uni-Directional Data Interfaces Downstream Extracts Aligned with Finacle roadmap Extendible data model (business area model) Tool agnostic metadata solution Extensive audit management Data“push” and“pull” possible from source systems Hierarchical structures for summarization and navigation across region, zone, branch etc Ability to perform historical and trend analysis Supports complex data tranformations Can act as a system of record Integrated metadata Flat Files UI Data Finacle RDBMS Erroneous Data Dump Ad-Hoc Reports Canned Reports Dashboards Error Reports H o m o g e n i z e d & I n t e g r a t e d D a t a Products Transactions Account CIF Other Entities S o u r c e d D a t a D u m p Finacle RDBMS Flat Files UI Data ETL Indicative Subject Areas CRM Core Products e-Banking WMS Trade Finance Treasury ETL Semantic Layer Comprehensive error and reconcilliation process Rich Pricing Regulatory Risk Management Out-of-the-box features Legend Solution part ready to deploy with minor changes Finacle from Infosys partners with banks to transform process, product and customer experience, arming them with ‘accelerated innovation’ that is key to building tomorrow’s bank. About Finacle © 2012 Infosys Limited, Bangalore, India, Infosys believes the information in this publication is accurate as of its publication date; such information is subject to change without notice. Infosys acknowledges the proprietary rights of the trademarks and product names of other companies mentioned in this document. www.infosys.com/finacle For more information, contact [email protected] Business benefts Increased business agility Finacle operational data store provides banks an efcient and efective means of meeting their regulatory, analytical and MIS reporting requirements. This streamlines data dissemination processes and enables decision- makers to respond to business imperatives with greater agility. Improved performance Finacle operational data store takes on the rigors of managing operational data, relieving OLTP and other transactional systems at the bank of the load. This eliminates the need for access to the production database for generation of reports, signifcantly enhancing performance of the transactional infrastructure. Greater reuse and lower maintenance costs Coupled with its integrated metadata, elements for data governance and ability to integrate multiple data sources, Finacle operational data store enables a relatively cost efcient means of managing the maintenance of multiple downstream extracts. • Well integrated and seamless data sourcing from Finacle UBS • Pre-built ETL patterns and enforced data governance allow non-Finacle data sources to be added in a standardized way with equal ease • Parallelized ODS ETL help achieve minimal and fexible interdependencies amongst 600+ ETL jobs • Data error and audit management: pre-built, confgurable and comprehensive • Well documented and integrated metadata, which also drives scheduled ETL loads
Copyright © 2024 DOKUMEN.SITE Inc.