Value Proposition

The growth in digital and Big Data technologies is bringing a deluge of opportunities for Banking & Financial Institutions, but with it comes operational difficulties and risks. For banks and financial services providers, the amount of data they produce, utilize, store and access grow exponentially year over year. Mergers and acquisitions also bring in new data sources, including large data stores. The combination of data between these systems, for cards, payment processing, etc., endures a challenge and only leads to weakened decision-making for the business.

ChainSys’ enterprise-class Multi-Domain Master Data Management Suite, powered by dataZen™, has all data quality & data governance capabilities, to enable Finance Data Management (FDM) to keep a "Single Source of Truth" for all your Accounts, Code Combinations, Validity Rules, and Accounts Hierarchy data.

Why ChainSys

• No programming: Configuration-based implementations, with pre-built & configurable financial master data models from a broad range of internal and external sources.
  
• Pre-built extractors, loaders, and integration templates for all financial master data elements.
• Flexible data governance workflow to govern the financial master lifecycle from onboarding to making additional changes in the most efficient manner.
• Financial master 360-degree views to achieve insightful data around financial master and related transactions.
• Data quality engine that is highly configurable, automated, and easy to use, speeds time to adoption and value.
• Cleansing, enrichment, and deduplication based on smart algorithms, and data dictionary along with Deduplication Report Dashboards for easy data review/adjustment.
• Configurable item survivorship and attributes merging rules for automated merging and enrichment of golden records
• Data Visualization (Report, Dashboard, Analytics).

dataZen, as a complete Master Data Management Suite, that can coexist with any system landscape with multiple ERP and CRM systems and provides various data governance tools and processes by leveraging following out of box features.

1. Data Architecture & Data Modeling: - Chainsys’s master data Suite offers Industry standard templates to match various ERP and CRM Systems for the data modeling so you don’t need to start from scratch.

2. Data Discovery: - Connect to any end point to extract master data, reference data, and transactional data, and generate metadata through data profiling

3. Data Cleansing & Standardization by detecting, correcting, and sometimes removing undesirable data records including standardizations and enrichments through 3rd party providers

4. Data Quality Management: - Robust Workflow and ML Algorithms (NLP) to provide a powerful data Quality Management (DQM) Engine to enable tactical management and oversight of the company’s data assets as part of Data Stewardship. Data Matching to Identify and resolve duplicate records with configurable business rules to group the similar set of data. Data stewards or custodians can approve system-generated matching groups along with suggested survivor records to automatically merge or perform manual adjustments.

5. Master Data Merging & Source Updates: - Migrate the cleansed and consolidated data into peripheral system using pre-built migration and integration template as part of one-time migration (Get Clean) and in a steady state, trigger master data merge and update actions (Keep it Clean)

6. Data Governance: - Data Governance is a conscious and orchestrated effort by the Data Architects and Data Stewards to ensure the right master/transactional data goes into your ERP System, after scrutiny and corrections by various data stakeholders. dataZen offers capability to configure multi-level approval workflows based on complicated business rules and various business scenarios. The application also provides real time activity monitoring and status tracking along with audit trail for all the changes during request and review process.

7. Data Quality Monitoring: - After all your data quality and migration processes, ChainSys can help provide a comprehensive Data Quality Monitoring dashboard and reconciliation reports to assess data quality and consistency