real-time data management solution for business users
- Data Event Capture
- Linking and Standardization
- Golden Copy Creation
- Real-time data distribution
- Data Quality and Monitoring
Integrated, end-to-end, data management solution built to enable business users with real-time visibility and orchestration of data events as they change across the ecosystem
Customer OneView
Enhance client experience and generate cross-sell opportunities by getting everything you need to know about your clients in one, easy to use view.
Vendor OneView
Improve vendor relations through a unified view of your vendors across geographies and functions with related information like products or orders just a click away
Trade OneView
Seamlessly monitor trade processing from front to back office. Orchestrate transactions across your ecosystem and share information directly with your clients.
Pricing OneView
Eliminate manual reconciliations and price discrepancies through a single source of your pricing data sourced from multiple vendors and systems.
BlocData for Harvesting, Linking, and Distributing Real-Time Data
BlocData harvests all the data events from the ecosystem, applies business rules to link and transform them to create a Golden Copy record and distributes it in real-time
Data Integration
Multi-protocol Data Ingestion and Event Capture
Data Transformation
In-built ETL and data reconciliation engine
Configurable Workflow
Feature rich and self-service workflow capability
Data Distribution
Reporting and Multi-protocol data distribution
Anywhere Deployment
Cloud agnostic and/or on-prem deployment
Enterprise Grade
Highly scalable, microservices architecture
Real-time data view
Real-time synchronization of data source with changes
Undisputable Audit
Immutable event logging and audit
Seamless integration with all data sources and in-built recon engine to link the data sets
| Standard MDM approach | BlocData ++ (In addition to standard MDM features) |
|---|---|
| Consume source data from API integration/ File Watcher/ Messaging Interface supported by source systems Ready to deploy connectors only support market standard vendors | No dependency on source systems to push data or build APIs Can capture data event changes (insert/update/delete) in real-time from any DB logs |
| Standard MDM approach | BlocData ++ (In addition to standard MDM features) |
|---|---|
| Require a common ID to link data sets from different data sources Require separate ETL tools for complex data mapping | In-built real-time recon engine with advanced matching rules. No technology dependency Highly configurable in-built ETL tool for data mapping and transformation |
| Standard MDM approach | BlocData ++ (In addition to standard MDM features) |
|---|---|
| Require code or configuration changes for adding validation rules, schema updates, data mapping rules, data enrichment/look-ups, adding new sources | Self Service model for ALL data life cycle steps like ingestion, matching, transformation, validations, golden copy creation and data distribution |
| Standard MDM approach | BlocData ++ (In addition to standard MDM features) |
|---|---|
| Comes with standard audit log tables updated by core engine audit function | Captures, stores, and distributes all data events with an immutable audit trail and data lineage |
| Standard MDM approach | BlocData ++ (In addition to standard MDM features) |
|---|---|
| Require separate data archival solutions and pain in retrieving historical data for audit responses | Comes with optional blockchain-based data storage/archival solution with graphQL API to retrieve data |
| Standard MDM approach | BlocData ++ (In addition to standard MDM features) |
|---|---|
| Require complete product upgrade for any custom builds due to monolithic architecture | Microservices architecture allows easy customization for clients without impacting core products and needs for full regression |
Feature-Rich User Interface for Data Management
- Advanced data grids for browsing, searching, editing, sorting and managing large volumes of data
- Creation of user defined data views
- Easy-to-use golden copy view of data through Golden Copy Explorer
- Light and Dark Themes
Highly configurable, in-built ETL capabilities
Data Ingestion
- Multi-protocol integration supported(API/File Watcher/Messaging/File upload/DB scanning)
- Self-service setup for data ingestion
Data Standardization
- Fully configurable ETL capability
- Multi-source data mapping with calculations, custom transformation functions and de-duplication
Data Enrichment
- Fully configurable business rules for multi-source lookups
- Live updates of data with latest available information
Business rules driven event processing and golden copy creation
Advanced Business logic
- Complex pairing rules to link events with a golden copy
- Attribute level hierarchies for golden copy creation
- Fully configurable events scheduling for reporting and distribution
Highly configurable reporting, extraction, and distribution workflow
Reporting and Data Distribution
- Fully configurable reporting schema configuration and distribution mechanism
- Multi-protocol data distribution through API, messaging interface, file systems, etc
- Real-time multi-protocol data distribution