Why ChainSys for ERP Data Management

1. Why ChainSys Leads in Oracle & SAP ERP Data Management: A Competitive Analysis

2. Introduction ChainSys offers a unified, AI-enabled data management platform that simplifies and accelerates ERP data modernization. ChainSys with a unified data management platform that orchestrates the entire data journey—from initial ingestion and profiling to enterprise modeling and governance—across complex ERP landscapes. By leveraging AI-driven tools for data quality, transformation, and governance, ChainSys breaks down data silos and ensures that information is consistent, accurate, and ready for analysis throughout the organization. ChainSys enables a single source of truth by consolidating schema-based data and delivering enterprise-wide modeling. It integrates Master Data and metadata management to ensure consistency across Oracle, SAP, and other systems. Governance and compliance are automated through AI-driven validation, policy enforcement, audit trails, and access controls—ensuring clean, secure, and regulation-ready data without manual intervention. By delivering clean, consolidated, and well-governed data in real time, ChainSys empowers organizations to make confident data-driven decisions on a daily basis. The platform’s holistic, unified approach to data management accelerates initiatives like ERP upgrades and cloud migrations, effectively supporting overall ERP modernization. In short, ChainSys transforms enterprise data into a strategic asset—fueling agility, innovation, and informed decision-making while maintaining the highest standards of data quality and compliance. The Data-Driven Imperative in ERP Environments In today’s digital economy, data is the lifeblood of enterprise agility and innovation. Organizations that harness data effectively can streamline operations and uncover new opportunities, whereas those with fragmented or poor-quality data suffer from inefficiencies and missed insights. An AI-driven data management strategy converts raw information into actionable intelligence, ensuring that decision-makers have real-time, accurate data at their fingertips. This is especially crucial for SAP and Oracle ERP systems, where massive volumes of financial, supply chain, and customer data must be migrated, cleansed, and analyzed to support business goals. A robust data platform must therefore provide: • comprehensive data quality and governance to maintain a single source of truth, • flexible integration to break down silos, and • advanced analytics (including predictive modeling) to drive proactive decision-making AI and automation are key enablers – they reduce manual effort, identify hidden patterns, and enforce policies consistently. By ensuring high-quality, compliant data and enabling real-time insights, enterprises can mitigate risks, optimize processes, and gain a competitive edge in their industry. This data-first approach is the foundation for sustainable growth and successful digital modernization. 1

3. ChainSys: The Clear Choice for Oracle & SAP Data Management ChainSys offers a comprehensive suite of data management solutions tailor-made for SAP and Oracle environments. Unlike many competitors that rely on traditional ETL tools or extensive custom coding, ChainSys provides a unified, low-code/no-code platform that accelerates data initiatives end-to-end. It tackles the most critical pain points that SAP/Oracle enterprises face: Complex Migrations: Inefficient Data Governance: ChainSys streamlines ERP migrations (e.g. to SAP /4HANA or Oracle Cloud) with pre-built adaptors and templates and automated validation, drastically simplifying what are typically highly complex projects. It enforces data policies enterprise-wide with AI-driven compliance checks and role-based controls, remedying inconsistent governance and security gaps. Disconnected Systems: High Costs & Slow Delivery: ChainSys connects disparate data sources and applications for real-time data integration, eliminating silos and enabling unified analytics across Oracle, SAP, and other systems. By automating manual tasks and providing ready-to-use solutions, ChainSys reduces project effort and costs (often by over 50%) while speeding up time-to-value. Illustration 1 2

4. ChainSys’s platform covers all key areas of data management: Illustration 2 The result is an end-to-end solution for Oracle and SAP customers that is faster, smarter, and more cost-effective than piecing together multiple tools. The following sections highlight ChainSys’s strategic differentiators and how they translate into tangible advantages over leading competitors. ChainSys’s Strategic Differentiators Superior Data Migration & Integration Capabilities • Fast, Error-Free Migrations: ChainSys accelerates data migrations for SAP and Oracle projects with 2,000+ pre-built templates and adaptors covering a wide range of source and target systems. These templates include mappings for Oracle E-Business Suite, JD Edwards, PeopleSoft, SAP ECC/S/4HANA, and many other enterprise applications, across modules like Finance, Supply Chain, HCM, CRM and more. By leveraging this extensive library of ready-made extraction and load adaptors, organizations can avoid months of custom coding. According to ChainSys, using these pre-built migration templates reduces project timelines by 50–70% on average. This means go-live dates arrive sooner and with far fewer errors. In fact, ChainSys’s migration framework delivers 99.99% data accuracy, maintaining data integrity throughout the process – a level of quality unattainable with manual ETL scripts. High-volume capacity is also proven: ChainSys has successfully migrated 100+ million records in single projects and completed 1,200+ migrations globally, demonstrating its scalability in even the largest ERP environments. 3

5. • Zero-Downtime Data Transfer: A critical requirement for ERP migrations is minimizing business disruption. ChainSys supports zero-downtime migration through smart data replication and synchronization techniques. While traditional approaches often require prolonged cutover windows (or even downtime of several days), ChainSys enables continuous data updates to the new system until final cutover, ensuring business operations are not interrupted. Competitors like SNP tout “near-zero” downtime in specialized SAP S/4HANA migrations, but ChainSys achieves this across both SAP and Oracle migrations out-of-the-box, without proprietary constraints. Real-world results show that ChainSys can execute even complex multi-year historical data migrations with minimal downtime and full reconciliation of data. • Robust Integration (Real-Time & Batch): After migration, enterprises need various systems (legacy and new) to remain in sync. ChainSys’s dataZap integration engine provides a rich library of 2000+ pre-built connectors to SAP, Oracle, Salesforce, Microsoft, and more, enabling fast integration setup for both cloud and on-premise apps. These connectors support real-time data exchange via streaming and APIs as well as batch ETL/ELT processes, giving flexibility for different integration needs. Unlike many competitors that rely on heavy middleware or custom interface coding, ChainSys offers a templated integration approach: common ERP data flows (such as syncing customer or financial data between SAP and Oracle) are pre-configured and can be activated with minimal effort. This reduces integration development time by up to 50%. Whether an organization needs event-driven, real-time updates (e.g. immediate reflection of an Oracle ERP transaction in an SAP system) or periodic batch transfers (for bulk data loads), ChainSys supports both modes seamlessly. Data is transformed and enriched in transit using ChainSys’s mapping tools, ensuring that source-to-target data is consistent and business-ready. The platform also maintains active metadata management, so all integration processes are well-documented and traceable – a critical capability for debugging and governance that point-to-point scripts lack. • Integration at Scale: ChainSys’s integration pipeline is cloud-native and highly optimized for performance. It can handle high transaction volumes and large data sets without bottlenecks, thanks to features like parallel processing, in-memory data handling, and scalable microservices architecture. Competing solutions (e.g., Talend or custom API-based integrations) often encounter performance issues with big data loads or require significant tuning to scale; by contrast, ChainSys’s platform has built-in optimization for ERP-scale data. This allows enterprises to run complex data migrations or integrations 5× faster than traditional methods, as highlighted in ChainSys’s Oracle Cloud World showcase. In summary, ChainSys provides both the tools and the pre-engineered content to make SAP/Oracle data migration and integration rapid, reliable, and repeatable – a combination that clearly outpaces competitor offerings. 4

6. End-to-end data migration and integration flow diagram Illustration 3 AI-assisted Data Quality,Profiling & Governance • Automated Data Profiling & Discovery: A common obstacle in ERP data projects is poor visibility into the quality of source data. Competitors often rely on manual, spreadsheet-driven data profiling exercises, which yield incomplete insight into issues like duplicates, missing values, or anomalies. ChainSys takes a fundamentally different approach by leveraging AI/ML to profile and assess data across the enterprise automatically. The platform’s dataZen module scans databases in SAP, Oracle, and other systems to evaluate completeness, consistency, and validity of data in real time. It identifies outliers and patterns that humans might miss – for example, detecting an unusually high number of defaulted values in a particular field or spotting duplicate supplier records across SAP and Oracle. This AI-driven anomaly detection ensures early identification of problems that could derail a migration or lead to reporting errors. According to ChainSys, the automation of data assessment can cut initial data discovery and profiling time by up to 70%, enabling project teams to focus on remediation sooner. All findings are presented via interactive dashboards, giving stakeholders clear visibility into data health and allowing drill-down to root causes. • Data Cleansing and Enrichment: Once issues are identified, ChainSys provides powerful tools to cleanse and enrich data using AI rules. The platform’s rules engine can automatically standardize formats (e.g. date and currency conversions), correct common errors, and even enrich records by cross-referencing external data. For instance, it can fill in missing geographic codes based on addresses or 5

7. validate customer records against reference datasets. This goes beyond basic data quality checks available in some competitor tools. Talend and Informatica offer data quality modules, but they often require separate configurations or additional products. ChainSys’s solution is integrated: data quality is embedded into the migration and integration pipelines, so cleansing and validation happen continuously as data moves between systems. As a result, errors and inconsistencies are corrected at the source, yielding trusted data for decision-making. The platform’s AI-driven cleansing yields dramatically improved outcomes – ChainSys reports up to 90% improvement in data accuracy for organizations that fully leverage its data quality suite, as reflected in project results (e.g. near 99.99% accuracy in migrated data). • Master Data Management & Single Source of Truth: To maintain data consistency, ChainSys includes robust Master Data Management capabilities. During migrations or integrations, it can consolidate and de-duplicate master entities (like customers, products, suppliers) to ensure the target SAP or Oracle system doesn’t inherit legacy duplications or inconsistencies. The platform enforces entity resolution and harmonization rules across systems, so that each real-world object is represented once in the data (a true single source of truth). Competing vendors may require a separate MDM tool or manual effort to achieve this; ChainSys builds it into the workflow. By combining data profiling, cleansing, and MDM, ChainSys drastically reduces redundant or bad data, which according to industry studies can save companies millions in downstream maintenance and enable more reliable analytics. • Governance & Policy Enforcement: ChainSys also excels in data governance, which is vital in heavily regulated ERP environments. The platform provides a centralized policy management interface where administrators can define data standards, access controls, approval workflows, and audit rules. These policies are then automatically enforced across all data activities. For example, if a GDPR data retention policy is defined, ChainSys will ensure that archival processes comply with it, or if certain sensitive fields (like personal data) are marked, ChainSys can enforce masking of that data in non-production environments. This level of integrated governance is often lacking in competitor solutions – many organizations using other tools have to bolt on separate governance frameworks or rely on consultants to set up audit controls. ChainSys’s AI-driven lineage tracking records every transformation and movement of data, providing full auditability from source to target. In practice, this means that for any piece of data in the SAP or Oracle system, users can trace how it was derived, who handled it, and whether it meets compliance criteria. • Security and Role-Based Access: As part of governance, ChainSys implements role-based access control (RBAC) and fine-grained security. Only authorized users can view or modify certain data, which is crucial when handling sensitive financial or HR data during projects. Additionally, features like data masking allow teams to use realistic data in testing or analytics without exposing personal 6

8. identifiers. Competing products may rely on underlying database or application controls for security, but ChainSys provides an extra layer of protection specifically for data operations. This ensures that even as data is being migrated or transformed, it remains secure and compliant with regulations such as GDPR, HIPAA, or SOX. All these capabilities are AI-augmented – for example, the system can suggest governance rules based on detected data categories – further reducing the manual burden on data stewards. In summary, ChainSys’s AI-powered approach to data quality and governance means clean, compliant data is guaranteed at every step of an ERP transformation. Businesses benefit from higher confidence in their data (leading to better decisions) and avoid the costly pitfalls of poor data (such as regulatory fines or failed migrations). This comprehensive focus on data quality and governance differentiates ChainSys from competitors, who often treat these as secondary or separate projects. Data Quality Dashboard Illustration 4 7

9. Pre-Built Templates & Adaptors for Oracle and SAP Ecosystems One of ChainSys’s most powerful differentiators is its wealth of pre-built templates, adaptors, and business content specifically for Oracle and SAP environments. This library has been developed over decades of ERP data management experience and drastically reduces the effort for new projects: • 2,000+ Smart Adaptors: ChainSys provides over two thousand ready-to-use adaptors for extracting data from source systems and loading it into target Oracle or SAP modules. These adaptors cover not only SAP ECC and Oracle E-Business Suite, but also a variety of legacy and cloud systems that often interface with ERP. For example, adaptors exist for Salesforce CRM, Workday HCM, Microsoft Dynamics, IBM Maximo, and many more (including industry-specific systems). Each adaptor is aware of the source data model and the target ERP data requirements, handling the necessary field mappings and transformations. Table 1 below gives an example of the breadth of ChainSys’s adaptor coverage across sources and Oracle/SAP targets. By having this content available out-of-box, ChainSys enables projects to start at 70–80% completeness for data mapping from day one – only minor customizations might be needed for company-specific fields or rules. Competitors like Syniti or SNP offer some pre-configured mappings (Syniti, for instance, has content as part of its Knowledge Platform), but the breadth and depth of ChainSys’s template library is unmatched in the market. • Pre-Mapped ERP Objects: The ChainSys templates include object-level mappings for common ERP entities (Customers, Vendors, GL balances, Orders, etc.). This means ChainSys understands how a “Customer” record in Oracle EBS corresponds to a “Business Partner” in SAP S/4HANA, and provides a mapping template for that. It even covers cross-walks between Oracle and SAP terminologies – for example, mapping Oracle’s Chart of Accounts structure to SAP’s Finance module structures. These pre-built mappings greatly de-risk the migration because they have been tested and refined in prior projects. In contrast, using a generic ETL tool (like Informatica) would require building all these mappings from scratch, and even Syniti’s content might require additional effort for non-SAP sources. ChainSys reports that this approach of ready mappings cuts implementation time by 50% or more, and ensures higher data quality since the templates come with embedded validation rules. 8

10. • Reusable Business Rules: Beyond field mappings, ChainSys templates carry business logic relevant to Oracle/SAP processes. For instance, a data migration template for “Open Purchase Orders” ensures that all required fields (supplier, item, quantity, etc.) are present and valid according to SAP’s rules, and might even split or merge records if needed to fit target constraints. These kinds of rules, which typically domain experts would have to define in a migration, are already built into ChainSys’s content. This not only saves time but also leverages best practices from hundreds of previous ERP projects. It’s akin to having an expert consultant in the tool, guiding the data transformation. Competing products do not usually provide this level of packaged business knowledge – users must codify rules themselves or hire consultants. • Continuous Updates: The Oracle and SAP ecosystems evolve (e.g., new cloud updates, S/4HANA versions, etc.), and ChainSys continuously updates its adaptors and templates to keep pace. As an example, when Oracle released Fusion Cloud ERP updates or SAP introduced new S/4HANA modules, ChainSys delivered updated templates to handle new data structures. This means customers are always ahead of the curve and future-proofed. If an organization embarks on a cloud migration, ChainSys likely already has a template for that scenario (say, Oracle EBS to Oracle Cloud ERP or SAP ECC to S/4HANA), significantly smoothing the path. Table 1: Sample of ChainSys Pre-Built Data Adaptors Covering Oracle & SAP Modules Source Application Target (Oracle ERP Module) Target (SAP Module) Prebuilt Mapping Available Oracle E-Business Suite Finance, SCM, HCM, PPM (Oracle Cloud ERP) FI, MM, HCM, PS (SAP) Yes Oracle JD Edwards Finance, SCM FI, MM Yes Oracle PeopleSoft HCM, Finance HCM, FI Yes SAP ECC (Legacy) Oracle Cloud Finance, SCM, Mfg S/4HANA Finance (FI), MM, PP Yes SAP CRM / C/4HANA Oracle CX (CRM, Service Cloud) SAP S/4HANA CRM Yes 9

11. Source Application Target (Oracle ERP Module) Target (SAP Module) Prebuilt Mapping Available Salesforce CRM Oracle CX, Oracle ERP SAP C/4HANA (CRM) Yes Microsoft Dynamics (AX/CRM) Oracle ERP (Finance, SCM) SAP S/4 (FI, MM) Yes Workday Oracle HCM Cloud SAP SuccessFactors (HCM) Yes [and many others…] Pre-built adaptors available for dozens of other sources including IBM Maximo (EAM to SAP PM), Teamcenter (PLM to SAP PLM), etc. Table 1: ChainSys provides a wide range of pre-built extract and load adaptors that cover commonly needed mappings between source systems and target Oracle/SAP modules. “Yes” indicates that ChainSys has a ready mapping template for that source-target combination, significantly accelerating the data transformation. As illustrated above, ChainSys’s pre-built content spans virtually every major enterprise system that might interface with Oracle or SAP. This is a huge competitive advantage. Customers can trust that ChainSys “has done it before” for their scenario, whether it’s migrating Oracle EBS finance data into SAP S/4HANA or integrating Salesforce with Oracle Cloud. The adaptors handle the heavy lifting, allowing implementation teams to focus on any company-specific tweaks rather than reinventing the wheel. • Competitor Contrast: Syniti and SNP, both focused on SAP, do provide templates for SAP migrations, but they are generally limited to SAP-to-SAP transitions or require custom building for non-SAP sources (Syniti’s platform is source-agnostic but content is strongest for SAP environments). Informatica and Talend, being more general data tools, do not ship with business-specific ERP content – users must configure those largely from scratch or purchase separate accelerator packs. This often results in longer project durations and higher costs when using those tools for ERP migrations. ChainSys’s templated approach, by contrast, consistently shows faster time to value. For example, a complex SAP data migration that might take a competitor 12+ months can often be completed in half the time with ChainSys, thanks to these accelerators. This translates to significant cost savings and reduced risk for the enterprise. 10

12. Mapping coverage chart between source and target ERP systems Quality & Governance Control Active Metadata Management Illustration 5 Enterprise-Grade Security, Scalability & Compliance Enterprise investors and stakeholders care deeply about security, compliance, and scalability – areas where any data management platform must excel. ChainSys has made these principles core to its design, ensuring that large organizations can trust the platform in mission-critical, regulated environments. • End-to-End Security: ChainSys is built with a “security by design” philosophy. All data handled by the platform can be encrypted both in transit and at rest, using industry-standard encryption protocols. The system maintains detailed audit logs of who accessed or changed data, supporting forensic analysis and satisfying audit requirements. ChainSys’s commitment to security is underscored by its certifications: the company is SOC 2 Type 2 certified, meaning an independent auditor has verified its controls for data security, availability, and confidentiality. It is also certified on ISO/IEC 27001 (information security management) and ISO 27701 (privacy information management), demonstrating adherence to global best practices in data protection. 11

13. Few competitors can point to this level of formal security accreditation. Informatica, for instance, offers strong security features but as a large platform might not have as focused certifications or might require extra modules (and cost) to achieve the same level of end-to-end security. Talend’s open-source roots mean it largely relies on third-party security measures, providing only basic features natively. With ChainSys, enterprises get built-in security controls without needing to layer additional tools. • Compliance & Regulatory Standards: For industries like healthcare, finance, or government, compliance is non-negotiable. ChainSys ensures compliance with major regulations such as HIPAA (for health data privacy), GDPR (EU data protection), and PCI DSS (payment data security). It provides features like data masking, anonymization, and retention management to help meet these regulations. For example, sensitive personal data can be automatically masked when moving between systems or when used in testing, and data retention rules can trigger archival or deletion of data that exceeds policy timelines. These capabilities give organizations confidence that using ChainSys will not put them at compliance risk – in fact, it often improves their compliance stance. Competing platforms may not have such features out-of-the-box: a Syniti or SNP project might require custom scripting or additional software to handle data masking or GDPR “right to be forgotten” requirements, whereas ChainSys has these tools ready to configure. ChainSys’s compliance credentials are also evident in its customer references – it has been validated in Fortune 500 companies that undergo regular compliance audits, and it’s a trusted solution partner for leading system integrators in regulated sectors. This level of trust is hard to win without rigorous adherence to standards. ChainSys even holds CMMI (Capability Maturity Model) certification for process maturity, reflecting high-quality software development and delivery processes (an indicator of reliable outcomes for clients). • Scalability & Performance: ChainSys is engineered to scale both horizontally and vertically to meet enterprise workloads. It can be deployed on modern cloud infrastructure (AWS, Azure, Oracle Cloud, etc.) and take advantage of auto-scaling and distributed processing. In benchmarks, ChainSys has demonstrated the ability to handle very large data volumes (hundreds of millions of records) with high throughput. This is crucial for large enterprises—consider the data volume in a global SAP instance with decades of transactional data. ChainSys’s architecture (using microservices and in-memory processing) ensures that adding more data or more users has linear or better scaling, without significant performance degradation. Traditional ETL tools might choke or require major re-architecture at such scale. SNP’s tools, designed for SAP, handle large data in a focused scope but may not scale as flexibly across heterogeneous environments. Informatica can scale but often at high cost (in terms of infrastructure and licensing), and requires expert tuning. ChainSys provides a more cost-efficient scaling: its cloud-native optimizations mean clients often use less infrastructure for the same job compared to older generation tools. 12

14. • High Availability and Reliability: For critical data operations, any downtime or failure in the data pipeline is unacceptable. ChainSys supports high-availability deployments, with failover mechanisms to ensure continuity. Its components can be clustered and load-balanced. Moreover, because many of ChainSys’s processes are modular and restartable, if any job fails, it can resume from where it left off, reducing the need to rerun whole processes. These enterprise-class features contribute to a lower risk profile for large projects. Implementation firms have noted that using ChainSys reduces the number of unexpected errors and production issues versus other tools, thanks to its maturity and robust design. • Secure Collaboration: When multiple parties (e.g., a customer and an implementation partner) are working on a data project, ChainSys allows secure partitioning of duties. Different roles (developer, data steward, auditor, etc.) can be granted appropriate access. This means a system integrator can work within a customer’s ChainSys environment with only the permissions they need, and all their actions are tracked. This is ideal for partner collaboration and something that appeals to ERP implementers: it’s easy to involve consultants without compromising security or compliance. Syniti’s solution often involves heavy involvement of their own consultants or partners, but having a platform that the customer can govern tightly is an advantage for ChainSys in giving control to the client’s security team. In essence, ChainSys meets the stringent security and compliance demands of enterprise IT while also delivering the performance and scalability required for large-scale ERP data operations. This combination is key for investor confidence: it means the platform can be rolled out enterprise-wide without encountering roadblocks from the CISO or the IT architecture board. ChainSys has clearly invested in the certifications and features that de-risk its adoption in even the most sensitive environments, which is a significant competitive edge. Compliance certification badges Illustration 6 13

15. Competitive Feature Comparison: ChainSys vs. Leading Competitors Major players in the data management space—such as Syniti, Informatica, Talend, and SNP—offer varying capabilities for ERP data projects. However, ChainSys’s unified platform and ERP-specialized features provide distinct advantages. Table 2 presents a high-level feature comparison, highlighting how ChainSys stands out in critical categories: Table 2: Feature Comparison – ChainSys vs Syniti, Informatica, Talend, SNP Feature / ChainSys Syniti Talend SNP Informatica Capability (Smart Data (SAP ADMM / (Data (CrystalBridge) (Power Platform) Syniti Knowledge Fabric) Center/Cloud) Platform) Prebuilt ERP 2,000+ AI-driven Limited out-of-box Basic connectors; Limited adaptor Some connectors Adaptors adaptors for SAP, content (focused on primarily API-driven library; primarily available, but many Oracle, and others. SAP). Many integration, few focused on SAP require custom Vast library covers connectors require ERP-specific scenarios, other development or ERP, CRM, legacy custom build or separate packs templates. sources not apps for fast reuse from past extensively covered. mapping. projects. Data AI-assisted mapping Partially automated Mapping via coding Largely manual Powerful Mapping & with pre-mapped mapping; has or GUI requires mapping process; transformation tools Transformati templates and knowledge base for but manual mapping developer effort; focuses on technical on rules-based SAP fields but minimal automation. migration steps design; developers transformations. requires setup and rather than must create data Low-code interface expert input. automated mapping. flows. for adjustments. Data Quality AI-powered data Basic data quality Data quality tools Some data quality Limited data quality & profiling, cleansing, included; more available but often functions, but often features; relies on Governance enrichment advanced separate needs separate source system integrated into governance requires (Informatica Data configuration or cleanses or separate platform. Built-in additional modules Quality) and need third-party tools. efforts. governance (lineage, (e.g., SAP integration. RBAC, data Information masking). Steward). 14

16. Scalability & Cloud-native, highly Moderate scalability; Performance can Designed for SAP Can scale to Performance scalable for large handles large SAP degrade with very migrations; scalable enterprise loads but volumes; proven on datasets but may large data sets; need in that context, but requires significant 100M+ records. need tuning and custom optimization not as optimized for resources and cost Optimized for specific hardware for big data. heterogeneous big (enterprise high-speed parallel data outside SAP. hardware/cloud processing. spend). Security & End-to-end security Moderate security; Basic security Strong security Focused security on Compliance with SOC 2 Type 2, basic controls, relies features; options, but SAP data only; ISO 27001 on SAP partnership open-source achieving full limited certifications, etc . for compliance components require compliance may cross-application Comprehensive aspects (not external hardening, require costly compliance features. compliance features independently compliance not add-ons (e.g., (HIPAA, GDPR, PCI) certified at encryption packs, out-of-box. built-in. ChainSys’s level). separate governance products). Integration & Prebuilt connectors Connects primarily Provides connectors Limited integration Wide connectivity to Connectivity for SAP, Oracle, MS, SAP-related sources; for common scope outside of databases and apps, Salesforce, cloud other connections databases and APIs; but out-of-the-box SAP landscape; platforms (AWS, usually custom. less out-of-box mostly uses SAP ERP-specific Azure, GCP). Integration features support for interfaces, not a connectors are Supports real-time improving but not as enterprise apps, general integration fewer; often need and batch integration broad. requiring manual platform. custom coding for equally well. configuration. full integration. Time to Rapid deployment Slower ramp-up due Low upfront license Higher total cost of Powerful but Value & Cost via to setup and learning cost (open source), ownership for expensive (license low-code/no-code; curve; generally high but heavy custom complex migrations; and infrastructure). templates reduce services involvement effort leads to higher specialized use may Many capabilities are effort ~50%. Flexible (costly). License can services cost and require consulting. separate modules modular pricing = be expensive for full longer timelines. Not a general tool to (increases cost). lower TCO. High platform. Longer reuse beyond initial reuse for future project. implementation projects. cycle. Data Archival Automated data Limited Requires No built-in archival Archival not a focus; & Retention archival with archival-specific customization or solution; users must SNP deals with live compliance tracking. support; often separate ILM tool for script or use migration, not Supports handled with SAP archival; not provided separate tools. long-term archival policy-based archival ILM separately. out-of-box in management. for SAP/Oracle (e.g., standard ETL. move historical data to archive DB with full audit trail). 15

17. No-Code True end-to-end Requires some Developer-driven Significant developer Custom coding End-to-End no-code data coding/scripting approach; while GUI needed for special involvement needed management especially for exists, effectively cases; heavily in designing (migration, complex requires coding in expert-driven mappings, integration, quality, transformations or Talend Studio (Java) process rather than workflows. Some UI analytics all non-SAP sources. for complex tasks. no-code. tools, but technical configurable without Not fully no-code. expertise required coding). Business throughout. users can participate. AI & ML Embedded AI/ML for Basic ML usage (e.g., Offers AI-driven Minimal AI features; Some automation in Capabilities data insights rule suggestions) but metadata any machine learning migration, but AI not (lineage analysis, not deeply integrated (Informatica CLAIRE) for data has to be a key component of anomaly detection) into all features. and others, but these externally offering (focus is on and predictive Needs additional come with high cost implemented. automation scripts). analytics. Automates setup to leverage AI. enterprise editions suggestions and improves over time. Enterprise Trusted by Fortune Strong presence in Popular in Used in SAP-specific Widely used in large Adoption 500 companies; used SAP ecosystem (SAP open-source transformations, enterprises for in many Oracle & itself resells Syniti as community and including high-profile integration and data SAP partner-led SAP ADMM). mid-tier firms; not as S/4HANA moves warehousing; projects. Collaborates with common in large (especially in EMEA). well-known brand but Referenceable system integrators, Fortune 500 for ERP Niche outside of not specialized for success in but less used outside migrations due to those scenarios. ERP transformation. cross-ERP SAP context. effort required. migrations. Overall Cost Lower TCO due to Higher TCO when Low license cost (or Considerable cost High upfront and of Ownership automation and considering license + open source), but for software and ongoing costs modular deployment consulting. Some high labor cost over experts, justified for (license, – you pay for what cost savings via time. Total cost can complex SAP maintenance, skilled you need, and save knowledge re-use for grow with transitions but not developers). Often on development future projects, but maintenance of cost-effective for an expensive effort. Typically still significant custom code. broader data proposition for yields ROI through investment. one-time migration management needs. faster completion projects. and fewer errors. Table 2: Feature-by-feature comparison of ChainSys with Syniti, Informatica, Talend, and SNP. ChainSys leads in breadth of pre-built content, integration of AI/ML, true no-code capabilities, and an overall faster time-to-value. Competitors have strengths (e.g., Syniti’s SAP partnership, Informatica’s general-purpose power) but often at the expense of higher cost or narrower focus. 16

18. As seen above, ChainSys distinguishes itself by providing a holistic, ready-to-use platform whereas competitors often cover only pieces of the puzzle or require extensive customization. For example, Syniti (formerly BackOffice Associates) is a strong contender in SAP data migration and quality, and indeed it’s often used for S/4HANA transitions. Syniti boasts a 39% faster completion rate on migrations due to its automation, but ChainSys’s out-of-box templates frequently surpass that (50–70% faster, as noted) and apply to a broader array of systems, not just SAP. Informatica is a powerhouse for integration and has enterprise credibility, but implementing Informatica for an Oracle/SAP migration can be time-consuming and expensive, since it wasn’t specifically designed for that scenario – you might need to license PowerCenter, Data Quality, maybe Informatica MDM, and involve a team of skilled developers for each piece. Talend appeals with open-source flexibility and lower upfront costs, yet for complex ERP data work, the effort to develop, test, and maintain Talend jobs can negate those cost savings and introduce risk (lack of vendor support at the same level). SNP is highly specialized for SAP transformations (especially using their Bluefield approach for S/4HANA). While SNP can perform impressively in that niche (e.g., achieving near-zero downtime cutovers, it does not extend to a unified platform for ongoing data quality, integration, or multi-ERP environments – ChainSys covers those comprehensively. In summary, ChainSys offers the most balanced and robust solution for Oracle & SAP data management among its peers: it combines automation and intelligence (for speed and accuracy), breadth of functionality (covering migration, quality, integration, analytics in one platform), and enterprise-class qualities (security, scalability, compliance) in one package. The competition might meet some of these criteria individually, but none currently match ChainSys across the board. This makes ChainSys a strategic choice for organizations looking to invest in a long-term data management capability that will serve not just a single migration, but the continuous innovation of their ERP landscape. Quantitative Benchmarks & Outcomes When evaluating platforms, quantitative results from real projects provide compelling evidence of value. ChainSys has a track record of delivering superior outcomes in key performance areas. Below are some benchmark figures and comparisons that underscore ChainSys’s advantages: • Faster Project Completion: Companies using ChainSys report 40–50% faster completion of data migration projects on average, compared to traditional methods. This aligns with ChainSys’s own benchmark of cutting migration timelines by up to 70% with its pre-built templates. By contrast, Syniti advertises a 39% faster completion rate over manual approaches – ChainSys not only meets 17

19. but exceeds this in many cases (and applies it to both SAP and Oracle projects). The acceleration translates to finishing projects months earlier, which for investors means quicker realization of ERP benefits and lower labor costs. • Higher Data Accuracy: Data quality metrics show ChainSys achieves 99+% accuracy in migrated or integrated data. This is partly due to automated validation and cleansing steps catching issues that human processes miss. In a benchmark migration of a large Oracle ERP to SAP S/4HANA, ChainSys’s tools identified and corrected 30% more data errors pre-cutover than a competitor’s process, resulting in an almost error-free go-live. A near-perfect data load reduces post-migration stabilization efforts dramatically. Many competitors do not publish a specific accuracy figure, but it’s telling that ChainSys is confident enough to cite a 99.99% accuracy metric – a level likely higher than what most others would claim without extensive manual reconciliation. • Reduced Cost and Effort: By eliminating custom code and leveraging automation, ChainSys drives down cost. On a typical $1M data migration budget, organizations have seen ~30–40% cost savings by using ChainSys versus a competitor solution, thanks to less rework and fewer consulting hours. Syniti often emphasizes lower future costs (up to 50% reduction in future projects due to knowledge reuse), which is a valid benefit. ChainSys similarly enables reuse (templates and rules can be applied to future acquisitions, upgrades, etc.), compounding ROI over time. One investor-friendly metric: a client achieved 8-month payback on their ChainSys investment during an Oracle-to-SAP migration (similar to the payback period Syniti cites for S/4HANA migrations), after which all benefits (labor saved, faster integration of acquisitions, etc.) directly contributed to ROI. • Scale of Data Handled: ChainSys has proven it can handle 100+ million records and multi-terabyte data volumes in a single project. In one case, it processed 15 years of historical SAP data (several TBs) and transformed it to a new structure within a tight cutover window. Competing tools might require splitting the job or simplifying the scope to handle such volume. This gives ChainSys a strong edge for enterprises with massive data estates (e.g., large manufacturers or global retailers). The platform’s throughput has been measured at migrating millions of records per hour in optimal conditions, showcasing enterprise-grade performance. 18

20. • Adoption and Satisfaction: ChainSys boasts a 96% client satisfaction rate in its data migration services. This high satisfaction is indicative of both the product capability and the support provided. It suggests that projects using ChainSys hit their objectives reliably. For comparison, many traditional data projects run over time or budget; having nearly all ChainSys clients satisfied implies those risks are much reduced. Additionally, the platform is used by dozens of Fortune 500 companies and has been validated in complex scenarios (for example, a Fortune 100 healthcare company used ChainSys to consolidate Oracle and SAP data into a unified analytics platform, achieving results that led to expansion of ChainSys usage enterprise-wide). Investors can take such adoption as evidence of market trust and scalability. • Real-Time Integration Latency: In integration benchmarks, ChainSys’s event-driven updates propagate changes in seconds, effectively providing real-time sync. For instance, an update in Oracle Cloud ERP could be reflected in an SAP BI system in under 5 seconds using ChainSys’s pipeline. Competing middleware often have minute-level or batch updates unless significant engineering is done. This low-latency performance is critical for scenarios like multi-ERP financial consolidation or synchronized e-commerce inventory across systems. It directly supports better business execution (no waiting for nightly batches). These quantitative insights highlight that ChainSys doesn’t just promise capabilities on paper – it consistently delivers measurable improvements in speed, accuracy, and cost-efficiency. The combination of faster timelines, better data quality, and high satisfaction means lower risk for project success. For implementation firms, this can translate to more referenceable projects and happier clients; for investors, it means ChainSys has a strong value proposition that resonates in the market and is backed by concrete results. To further illustrate, consider a performance benchmark scenario: migrating a complex Oracle E-Business Suite environment (with 20+ modules and 10+ years of data) to SAP S/4HANA. With traditional ETL and manual efforts, such a project could easily take 18–24 months and still encounter 5–10% data error rates at go-live. Using ChainSys, one implementation partner was able to cut the timeline to 9 months and load 99.5% of data correctly on the first attempt, requiring only minimal fixes during mock loads. The project not only finished ahead of schedule but also avoided costly business downtime (thanks to ChainSys’s near-zero downtime approach) and passed audit compliance checks on the first try. Such outcomes are particularly important to highlight to stakeholders: faster, safer, and smarter data modernization is not just desirable, it is achievable with the right platform. 19

21. Conclusion & Future Outlook • Major enterprises operating Oracle and SAP systems are increasingly recognizing that effective data management is a strategic imperative. Traditional approaches – with siloed tools, manual coding, and fragmented governance – simply cannot meet the agility and accuracy needs of modern business. The competitive analysis in this paper illustrates that ChainSys’s Smart Data Platform offers a compelling, future-ready solution: it enables organizations to turn their SAP and Oracle data into a competitive advantage, faster and more reliably than alternatives. • By leveraging AI-driven automation, pre-built content, and end-to-end capabilities, ChainSys helps companies achieve: faster modernizations (projects completed in a fraction of the time), dramatically improved data quality (trusted data for decision-making), real-time analytics for better decisions, and 100% compliance-ready operations (audit trails and security built in). In short, enterprises can execute data migrations, integrations, and analytics initiatives 40–60% faster while attaining higher accuracy and ensuring governance, as evidenced by the benchmarks and features discussed. These outcomes translate to tangible business benefits – quicker cloud adoption, smoother M&A data integrations, reduced IT costs, and more timely insights into operational performance. • From an investor’s perspective, ChainSys is positioned as a leader in ERP data management at a time when demand for such capabilities is surging. Organizations are moving to cloud ERPs (Oracle Cloud, SAP S/4HANA), embracing AI/ML in analytics, and tightening data compliance – all trends that align with ChainSys’s strengths. Its ability to work across hybrid environments (on-premise legacy systems, private cloud, and multi-cloud) gives it a flexible edge as companies often have to manage data in a bit of all those. Moreover, ChainSys’s focus on no-code usability means a lower dependence on scarce technical skills, making it scalable in terms of human adoption as well. • ERP implementation firms partnering with ChainSys can deliver projects with greater confidence, differentiating themselves in the market by showcasing faster timelines and successful outcomes. For them, ChainSys is not just a tool vendor, but a strategic ally that enhances their service delivery. The formal certifications and partner ecosystem ChainSys has (including partnerships with Oracle, SAP, and cloud providers) further validate its solutions and ensure compatibility with the direction those ERP ecosystems are heading. • In conclusion, as enterprises accelerate their digital transformation journeys – moving to cloud, harnessing AI, demanding real-time intelligence – ChainSys emerges as the clear choice to enable the data foundation of that journey. It outperforms traditional competitors by combining depth (ERP-specific solutions) and breadth (all-in-one platform). The strategic value proposition is evident: faster time-to-value, lower risk, and greater insight. An investment in ChainSys’s platform is an investment in a robust data future, where Oracle and SAP systems are not just transaction processors, but intelligent data hubs driving business innovation. 20

22. Discover ChainSys Discover ChainSys Places People Process Projects Product Partnership Manage your Business Global Headquarters 1500? Data Professionals Worldwide Completed 500? Projects for Our Customers Worldwide Hub & Spoke Architecture Customer Advocacy & Referral - 80% NPS ?Net Promoter Score) Data Management Accelerators with 10000+ templates 1000? Data Engineering Experts ?Development, QA, DevOps, Security & Support) Team We offer value added services on our products Like: Strategic Partnerships 1. Advisory 2. Architecture 3. Implementation 4. Training 5. Support Manage your Data 300? Enterprise Applications Experts Technology Partners Implementation Partners 90% Employee Retention Rate Technology Authors Amarpal Nanda President of EDM amarpal.nanda@chainsys.com Suresh Rajput VP Data Solutions suresh.rajput@chainsys.com 21

23. USA - MICHIGAN 325 S. Clinton St., Suite 205 Grand Ledge, MI 48837 EUROPE Jan Pieterszoon Coenstraat 7 The Hague 2595 WP The Netherlands MIDDLE EAST G03, Ground Floor Building No 09 Dubai Internet City Dubai, UAE PO BOX. 500397 517-627-1173 +971-04 578 3056 MIDDLE EAST Business & Innovation Park, Wing 1, Level 3, Building 1, Street 504, Zone 49 Doha, Qatar INDIA INDIA #85, Ponniamman Nagar, Ayanambakkam, Chennai - 600095 ELCOT IT Park, SEZ-2 Vadapalanji, Madurai - 625 021 +91 (44) 69244100 +91 (44) 69244100 +974-33977129 INDIA INDIA ASIA PACIFIC Harbourfront Ave, #13-03 Keppel Bay Tower, Singapore - 098632 Vinayagar Koil St, Ramanathapuram, Coimbatore - 641045 Ocus Technopolis, Sector 54, DLF Golf Course Road, Gurgaon, Haryana - 122002 +65-6338-9175 +91 124-4352666 www.chainsys.com