Solution Overview
ChainSys — 11 Solution Domains
How the Chainsys Smart Data Platform and Smart Business Platform are composed into 11 solution domains, with definitions, target customers, and platform differentiators for each.
Solution × Module Composition — ● Primary ◎ Supporting
| # | Solution | Definition | dataZap | dataZen | dataZense Catalog |
dataZense Analytics | Smart App Builder | Smart BOTS | Foundation |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Data Assessment | Comprehensive data profiling with pre-built connectors and dashboards, providing actionable insights into data quality & readiness. | ◎ | ● | ◎ | ◎ | |||
| 2 | Data Quality & Governance | Maintains data accuracy and compliance with configurable workflows, validations, and advanced duplication checks. | ◎ | ● | ◎ | ◎ | |||
| 3 | Data Migration | Ensures seamless migration with automated cleansing, reconciliation reports, and scalability for high data volumes. | ● | ● | ◎ | ◎ | ◎ | ◎ | |
| 4 | Data Archival | Optimises storage costs and enhances system performance by securely archiving historical data with easy retrieval. | ● | ◎ | ● | ◎ | |||
| 5 | Data Integration | Connects disparate systems with pre-built adapters, enabling real-time data synchronisation and consistent data flow. | ● | ◎ | ◎ | ||||
| 6 | Data Catalog | Centralised repository with intelligent search and metadata management for easy discovery and governance of enterprise data. | ◎ | ● | ◎ | ◎ | |||
| 7 | Enterprise Data Management | Unified platform to manage master data across domains, ensuring data consistency and integrity. | ● | ● | ● | ● | ◎ | ||
| 8 | Data Analytics | Delivers powerful insights through intuitive dashboards and customisable analytics powered by advanced algorithms. | ◎ | ● | ◎ | ||||
| 9 | Rapid Application Development | Accelerates app development with a low-code platform, enabling quick deployment and customisation. | ◎ | ● | ◎ | ||||
| 10 | BPA & Testing | Streamlines workflows with automation and ensures quality through comprehensive testing frameworks. | ◎ | ● | ◎ | ||||
| 11 | Data Security | Ensures data protection with role-based access control, audit trails, and compliance with industry security standards. | ◎ | ◎ | ● | ◎ | ◎ |
1
Data Assessment
Enables comprehensive data profiling with pre-built connectors and dashboards, providing actionable insights into data quality & readiness.
Target Customers
- Organisations migrating data between legacy systems and modern platforms
- Enterprises seeking data quality checks for regulatory compliance and operational accuracy
- Businesses managing large, complex datasets across multiple systems
- Industries needing customised data transformation solutions (retail, manufacturing, healthcare)
Platform Differentiators
- Pre-built connectors and adapters to extract and assess data across a wide range of systems
- Native profiling capabilities ensure quick and accurate assessment of data quality
- Comprehensive data quality dashboards with drill-down insights for detailed analysis
- Accelerates decision-making with actionable insights and visualised metrics
2
Data Quality & Governance
Maintains data accuracy and compliance with configurable workflows, validations, and advanced duplication checks.
Target Customers
- Enterprises aiming to implement effective data governance frameworks for accurate and reliable data
- Organisations struggling with duplicate records and data inconsistency
- Businesses with multiple data entry and maintenance platforms for master data
- Industries managing critical master data domains across Finance, Retail, HCM, SCM
Platform Differentiators
- Single source of truth by eliminating data silos and merging data from multiple sources
- Advanced duplication checks and configurable validations for improved data quality
- Comprehensive data governance with policies, workflows, and approvals (parallel and hierarchical)
- Robust compliance features including role-based access control and audit tracking
- Supports data enrichment with third-party integration frameworks (D&B, Google API)
3
Data Migration
Ensures seamless migration with automated cleansing, reconciliation reports, and scalability for high data volumes.
Target Customers
- Organisations transitioning from legacy systems to modern ERP/CRM platforms
- Enterprises requiring seamless, accurate data migration with minimal downtime
- Businesses with large, complex datasets spread across multiple systems and geographies
- Industries needing tailored migration solutions for compliance, scalability, and performance
Platform Differentiators
- Pre-built connectors & adapters ensure rapid integration with source and target systems
- Automated AI-enabled data cleansing and transformation
- Active business participation via actionable dashboards for data review, correction, and validation
- End-to-end reconciliation reports to validate data accuracy post-migration
- 2,000+ ready-made mapping templates for major ERPs (Oracle EBS, Oracle Fusion, SAP S/4HANA, Microsoft Dynamics)
4
Data Archival
Optimises storage costs and enhances system performance by securely archiving historical data with easy retrieval.
Target Customers
- Organisations transitioning from legacy systems to modern ERP/CRM platforms
- Enterprises maintaining large amounts of historical data in their ERP systems
- Enterprises maintaining legacy systems for reporting and compliance requirements
Platform Differentiators
- Pre-built connectors & adapters with approval mechanism for archival & purging
- Enquiry screens as per source data models with attachments for easy retrieval
- Analytical reports based on facts & dimensions for historical insights
- 3-step approach: Profiling / Identification → Remediation → Governance
5
Data Integration
Connects disparate systems with pre-built adapters, enabling real-time data synchronisation and consistent data flow.
Target Customers
- Organisations migrating to the cloud, managing diverse systems, or driving data-centric decision-making
- Enterprises modernising legacy systems or integrating major platforms (SAP, Oracle, Microsoft Dynamics, Salesforce)
- Industries like manufacturing, BFSI, healthcare, energy, and government seeking seamless data unification
Platform Differentiators
- Vast library of customisable pre-built connectors across 50+ endpoint types
- Advanced orchestration to automate data flow, ensuring efficient routing based on business rules
- Seamless integration between cloud and on-premise systems maintaining data consistency
- Templated approach with 8,500+ pre-built validations reducing configuration effort
6
Data Catalog
Centralised repository with intelligent search and metadata management for easy discovery and governance of enterprise data.
Target Customers
- Enterprises transitioning to cloud ecosystems needing an organised catalog to streamline migration
- Companies with data dispersed across ERP, CRM, and data lakes needing unified metadata
- Business analysts, data scientists, and IT teams relying on intelligent search to access enterprise data
Platform Differentiators
- Unified data catalog integrated with migration, integration, and governance — spanning the entire data lifecycle
- Advanced metadata and data lineage: automatic tracking of lineage, classification, and usage across all sources
- AI-driven cataloging automation: automated data discovery, classification, and tagging using ML
- PII detection engine identifying personal identifiable and personal linkable data for compliance
7
Enterprise Data Management
Unified platform to manage master data across domains, ensuring data consistency and integrity.
Target Customers
- Organisations managing vast volumes of master data across multiple domains, geographies, or business units
- Manufacturing and supply chain companies needing accurate master data for materials, suppliers, and customers
- Regulated sectors like healthcare, finance, and pharmaceuticals requiring compliant and auditable data management
- Businesses ensuring consistent product, customer, and vendor data across multiple channels and systems
Platform Differentiators
- Centralised data governance: consistent control, enforcing policies, data quality, security, and compliance
- Data integration across silos: seamless integration enabling a unified view across business units
- Scalable and flexible architecture that adapts to growing enterprise needs
- Supports master data domains: Customer, Supplier, Product, Assets, Employee, Finance, Retail, SCM, HCM, Equipment
8
Data Analytics
Delivers powerful insights through intuitive dashboards and customisable analytics powered by advanced algorithms.
Target Customers
- Data-driven organisations leveraging analytics to assess, cleanse, and validate data for accuracy
- Customers managing large-scale migrations needing analytics to support planning and execution
- Businesses requiring data analysis to ensure smooth system transitions and compatibility
Platform Differentiators
- Real-time data processing enabling timely, data-driven decisions with up-to-the-minute insights
- Advanced AI and machine learning integration to uncover deeper insights and trends from complex datasets
- Cross-enterprise data consolidation providing a unified view of business performance across departments
- Learning Engine: supervised, unsupervised, reinforcement learning, and NLP backed by R runtimes
9
Rapid Application Development
Accelerates app development with a low-code platform, enabling quick deployment and customisation.
Target Customers
- Companies modernising outdated applications and integrating with new technologies
- Teams needing tailored applications for specific workflows with minimal IT dependency
- Organisations aiming to accelerate app creation and reduce development cycles
Platform Differentiators
- Low-code development environment: design and deploy applications with minimal hand-coding
- Pre-built templates and components reducing development time and enhancing productivity
- Agile methodology support: develop, test, and iterate applications quickly for faster time-to-market
- SAB Autonomous: agentic AI workflows enabling natural language-driven multi-step process execution
10
BPA & Testing
Streamlines workflows with automation and ensures quality through comprehensive testing frameworks.
Target Customers
- Businesses modernising legacy systems and adopting automation to enhance operational agility
- Organisations looking to automate manual, time-consuming workflows to reduce errors
- Enterprises transitioning to modern ERP, CRM, or cloud platforms requiring efficient testing
Platform Differentiators
- AI-driven automation to streamline complex business processes and reduce manual intervention
- Seamless integration with multiple enterprise systems for smooth automation across workflows
- Scalable BPA solutions tailored to meet unique industry needs
- Covers functional, performance, and security testing — full application quality assurance
- Integrates automated testing into CI/CD pipelines for continuous deployment confidence
11
Data Security
Ensures data protection with role-based access control, audit trails, and compliance with industry security standards.
Target Customers
- Organisations in healthcare, BFSI, and government requiring compliance with GDPR, HIPAA, SOC 2
- Businesses managing sensitive data across multiple regions with end-to-end encryption requirements
- Companies with complex compliance requirements across diverse geographies
Platform Differentiators
- End-to-end encryption: data protection at every stage during transmission and at rest (AES-256-GCM)
- Role-based access control (RBAC): fine-grained control ensuring only authorised users access sensitive data
- Compliance with GDPR, HIPAA, SOC 2, CCPA, ISO 27001 — industry-leading security standards
- Keycloak-based identity management with SSO, MFA, SAML 2.0, OAuth 2.0, and OIDC
- Immutable audit trails across all data access, modification, and export events