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Much like financial debt, data debt accrues interest over time. It refers to the accumulation of legacy data, siloed applications, redundant systems, and unstructured information that burdens IT infrastructures. Research suggests that poor data quality costs organizations an average of $12.9 million per year, while technical debt—including data-related inefficiencies—can consume up to 40% of IT budgets.

Legacy data environments slow ERP modernization efforts, inflate migration costs, and increase compliance risks—especially in regulated industries. Worse, they compromise data-driven decision-making by polluting analytics with outdated or irrelevant information. In a world where agility and intelligence define market leaders, data debt is a silent killer of transformation momentum.

Every major ERP or cloud migration faces a pivotal question: What do we do with the legacy data? Too often, the answer is to carry it forward en masse—replicating bloated, noncompliant, and fragmented records into the new system. This not only inflates migration costs but also perpetuates inefficiencies and slows innovation.

Consider the complexity of managing compliance with data residency laws like GDPR or the growing need to surface quality, real-time data for AI models. Legacy systems can’t keep up. Organizations that fail to manage information debt before embarking on transformation projects risk turning their next-generation platforms into expensive replicas of the past.

That’s where intelligent information platforms like JiVS IMP from Data Migration International come in. JiVS IMP enables organizations to decouple historical data and legacy applications from core systems, manage them cost-effectively in a compliant, read-only format, and drastically reduce the volume of data that needs to be migrated.

One example is DuPont, which successfully retired 17 SAP legacy systems and over 50TB of historical data across its global landscape using JiVS IMP. The project was completed in just 12 months, unlocking massive IT cost savings, audit-proof compliance, and sustainability benefits—all while preparing the business for a clean and agile digital future.

The first step towards breaking free from the data debt cycle is assessment. CIOs should conduct a data inventory across all business units to understand what data exists, where it lives, and what regulatory obligations apply. This helps identify what data must be migrated, what can be archived, and what should be retired.

Next, organizations must establish governance frameworks to ensure data is continuously classified, maintained, and monitored. JiVS IMP facilitates this with automated metadata management, lifecycle governance, and role-based access control.

Finally, leaders should align data strategy with business outcomes. Whether pursuing an ERP migration, a cloud-first strategy, or M&A integration, data should be seen not as an afterthought, but as a foundational enabler.

What this means for ERP Insiders

Rethink your migration roadmap. Many ERP transformation initiatives fail to meet ROI targets because they carry unnecessary data baggage. With JiVS IMP, CIOs can separate operational from historical data, reducing the scope and complexity of migrations. Tech leaders should prioritize intelligent data archiving as a first phase of any modernization effort.

Make M&A integration a competitive advantage. Mergers and acquisitions often result in duplicated systems, fragmented data, and compliance blind spots. JiVS IMP provides a central platform to consolidate and govern data across multiple sources without disrupting core operations. Companies that use this approach report faster integration timelines and lower IT overhead, turning M&A complexity into strategic agility.

Build a data architecture for the AI era. AI and advanced analytics demand clean, current, and context-rich data. Legacy information systems, left unchecked, undermine these ambitions. With JiVS IMP’s intelligent metadata tagging and automated data lifecycle management, companies can ensure their data is not only compliant but AI-ready. This positions CIOs to support real-time insights and predictive decision-making without technical friction.

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The secret? A technology-led carve-out powered by SNP SE, a major global player in SAP data transformations and selective migrations. Working alongside AWS and Redington, SNP executed the project using its CrystalBridge platform and the BLUEFIELD methodology. The result: 20% of a massive 6-terabyte SAP ECC database was surgically migrated to two new target systems with full data integrity, auditability, and minimal business disruption.

“The volume of this selective data migration amounted to about 20% of the 6-terabyte database,” said Anish Mohamed, Group CIO at Lulu. “SNP has demonstrated the ability to be a highly reliable SAP transformation partner… Their expertise gives us confidence for the next phase of our digital transformation—a move to SAP S/4HANA.”

For any enterprise preparing to go public, the ability to isolate and cleanly segregate business units from a shared SAP environment is both critical and high-risk. The Lulu carve-out was driven by IPO timing and regulatory scrutiny—requiring verifiable, compliant, and independent financial systems for the divested entities. Traditional migration methods would have introduced high cost, risk, and downtime.

Instead, SNP’s software-defined transformation provided:

• Selective, auditable data carve-out
• Less than 48 hours of cutover downtime
• End-to-end validation and data integrity

“We support companies like Lulu in tackling both current and future challenges by optimizing their IT systems and business processes,” said Ravi Mahalingam, Managing Director of SNP Middle East. “Our software platform ensured a fast, secure transformation journey from system analysis to seamless data migration.”

The business value was immediate. Lulu not only met its IPO deadlines but now has a future-ready SAP landscape, already planning its SAP S/4HANA migration with SNP as its strategic partner.

What this means for ERP Insiders

Elevate data carve-outs from risk to competitive advantage. CIOs and CFOs managing divestitures or IPOs should rethink manual extraction or greenfield rebuilds. SNP’s CrystalBridge and BLUEFIELD methodology offer an option to carve out complex SAP environments quickly, with governance built in. The Lulu project shows how data segregation can serve not just compliance, but strategic timing and cost reduction.

Automate for accuracy, speed, and scalability. The scale of Lulu’s 6-terabyte system would tax even the most experienced consultants. SNP’s software-driven approach enabled precise extraction of just 20% of the data—at speed, and with full traceability. As organizations prepare for cloud migrations, selective automation is the difference between high-velocity transformation and multi-year risk.

Future-proof SAP landscapes with modular software-based transformations. SNP’s success with Lulu is not just about a carve-out. It’s about setting the stage for modular SAP evolution. With the SAP S/4HANA migration already planned, the flexibility and trust built in Phase 1 will enable an agile, phased deployment. Tech leaders should consider this approach to navigate transformation with precision and control.

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In a conversation with ERP Today, Singh shared insights into Adeptia’s market positioning, differentiation, and the company’s trajectory following its acquisition by PSG Equity.

At its core, Adeptia specializes in automating intercompany data connections, enabling organizations to quickly and securely exchange data with customers, partners, and suppliers—without relying heavily on IT resources.

“We help customers like Visa, Fidelity, Voya Financial, and the NIH set up automated data flows with thousands of external organizations,” Singh explained. “That data might be structured or unstructured, but it all needs to be validated, converted, and processed quickly—often in near real time.”

What sets Adeptia apart, Singh noted, is its no-code, drag-and-drop platform that empowers analysts and business users—not just developers—to manage data integrations. “This self-service model is a key reason why enterprise customers choose us, even when they already have traditional tools in place.”

While Adeptia is system-agnostic, it is frequently deployed alongside ERP giants like SAP, Oracle, and Microsoft Dynamics. Singh pointed to a major deployment with Sencora (formerly AmerisourceBergen), which uses Adeptia to integrate 17 e-commerce platforms and thousands of pharmacy partners with SAP HANA.

“ERP systems are the backbone, but they aren’t built to handle the external data integration use cases that are becoming more common,” Singh said. “Our customers want flexibility—and control—so we offer both cloud and on-premise deployment options, which is a big differentiator.”

Indeed, the ability to deploy on-premise remains vital for Fortune 500 companies with strict data security and compliance requirements. “For mission-critical operations, relying solely on a cloud-based integration layer isn’t always feasible,” he added.

Singh outlined three primary differentiators that set Adeptia apart in the competitive world of data integration:

• Business-First Design: Unlike traditional integration tools geared toward IT developers, Adeptia’s platform is designed for use by business analysts, reducing the dependency on IT and accelerating time to value.

• Deployment Flexibility: Customers can deploy the platform on-premise, in their private cloud, or via a SaaS model—allowing full control over mission-critical data pathways.

• AI-Driven Automation: Over the last four years, Adeptia has infused its platform with AI that automates complex data mapping, validation, and transformation tasks. “What used to take weeks or months—like mapping EDI 850 messages to SAP—now takes minutes,” Singh said.

These capabilities enable organizations to go from eight-week onboarding timelines for data partners to under a week—a transformation with clear business impact.

While Adeptia’s value proposition begins with integration, its impact reaches into customer experience, time-to-market, and operational efficiency. Singh cited examples where clients’ Net Promoter Scores improved after switching to Adeptia, thanks to faster data exchanges and better real-time visibility.

“The business teams are often the drivers,” Singh said. “They want to modernize customer experience. But IT is tasked with the execution. That’s where we come in—offering a collaborative platform that satisfies both.”

With an average deal size of $200,000 and a growing portfolio of global clients, Adeptia has positioned itself as a high-value enterprise solution, rather than a commoditized tool. This strategy has only accelerated since its acquisition by PSG Equity, a private equity firm with a portfolio of more than 140 technology companies.

As organizations re-evaluate aging ERP platforms and legacy EDI systems, Singh sees a massive opportunity. “Companies are coming to us to modernize both their ERPs and how data enters those systems,” he said. “They’re shifting from static batch processes to real-time API-driven interactions—and we’re helping make that leap.”

Adeptia’s roadmap includes expanding support for emerging ERP platforms like Microsoft Dynamics 365 Business Central, enhancing AI-powered mapping, and strengthening hybrid deployment capabilities.

“We’re just getting started,” Singh said. “With PSG behind us and a strong leadership team in place, the next 12 to 18 months will be about scaling everything—from go-to-market to innovation.”

Singh has worn many hats over his 25-year tenure at Adeptia—from product development to executive leadership. His continued focus: building tools that bridge the divide between business goals and technical complexity.

“We’re not just another integration vendor,” he concluded. “We’re helping enterprises become more connected, more responsive, and ultimately, more competitive.”

What this means for ERP insiders

Adeptia fits companies on ERP modernization journey. When ERP customers evaluate Adeptia as a data integration and ecosystem connectivity platform, several strengths become evident. Adeptia is designed for business analysts and non-developers to build and manage data integrations via a drag-and-drop interface, which reduces reliance on IT, speeds up onboarding, and empowers business teams to respond quickly to integration needs. Also, the company offers both cloud and on-premise deployment options, which is ideal for enterprises with strict data security, compliance, or latency requirements (e.g., healthcare, finance, government). Adeptia has deep experience integrating with ERP platforms like SAP, Oracle, NetSuite, and Microsoft Business Central, which enables streamlined order-to-cash, inventory, EDI, and API integration processes with internal and external stakeholders. From a time-to-value perspective, Adeptia claims to cut partner/customer data onboarding times from 8 weeks to less than 1 week, and industry benchmarks consistently show that faster customer/partner integration leads to improved NPS, revenue realization, and operational agility. The role of AI can’t be overstated here either. With Adeptia, AI suggests data mapping and transformation rules, especially for complex formats like EDI and healthcare claims, and this reduces integration errors and project timelines, which is especially useful for non-technical teams.

Don’t confuse Adeptia for a low-end iPaaS. With average deal sizes in the $100K–$200K+ range, Adeptia is more expensive than some low-end iPaaS or open-source options, so it may not be suitable for startups or small businesses with minimal integration needs. Adeptia focuses on intercompany data exchange rather than general-purpose integration or full application orchestration, so enterprises needing broader app-to-app integration (e.g., CRM + marketing + analytics) may need complementary tools. While simpler than developer tools, Adeptia still requires upfront setup and process planning—especially for larger ERP environments, so enterprises should plan to invest time in architecture, training, and governance. Also, Adeptia is not designed for consumer-facing, event-driven integration (e.g., mobile notifications, front-end UX triggers). Rather, per Singh’s comments, it is best suited for B2B, EDI, and back-office system integration, not real-time customer experience orchestration.

Why Adeptia vs. Boomi, or Mulesoft, or Informatica? Adeptia is designed for non-technical users (e.g., analysts, operations managers) to create and manage integrations via a no-code, drag-and-drop interface. MuleSoft, Informatica, and Boomi are developer-centric. They offer powerful tools, but require more IT involvement and coding for setup and maintenance. Also Adeptia offers both on-prem and cloud deployment options, ideal for regulated industries or companies with hybrid ERP environments. MuleSoft and Boomi are primarily cloud-first platforms. While some hybrid capabilities exist, on-premise control is more limited. Informatica offers hybrid options, but often with more complexity and higher licensing costs. And Adeptia is purpose-built for ecosystem connectivity—setting up data flows between ERP and thousands of customers, suppliers, or partners. MuleSoft and Boomi are strong for application-to-application (A2A) integrations, APIs, and internal workflows—but may require add-ons or custom code for high-volume B2B onboarding. Informatica has strong data management tools, but its EDI and B2B capabilities are more complex and expensive to scale.

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