In today’s digital economy, every business wants to be “data-driven.” But more data doesn’t mean more value. Instead, organizations are navigating a growing data maze — a complex tangle of disconnected systems, fragmented data sources, and rising pressure to make AI real. If we want to unlock the true value of data — and harness the power of AI — then we must first fix the foundation. And that starts with transforming the way we manage and automate our data pipelines.
The Growing Data Maze
Data teams are under immense pressure. As the number of data sources skyrockets — often into the hundreds or thousands — so too does the complexity of managing them. Integrating, cleansing, and making sense of this data has become a constant struggle.
As a result, most organizations are drowning in data but starving for insight—a reality reflected in the staggering failure rate of 90% for data initiatives, often due to quality issues or integration complexity.
Reframing the challenge: AI isn’t the problem. Data is. And solving it requires more than tools — it demands a unified strategy that connects, automates, governs, and scales data flows across the enterprise.
Why Data Maturity Matters
The road to delivering transformative customer experiences, real-time decision-making, and scalable AI depends on maturing your data capabilities.
- Digital Fragmentation (Today): Organizations start with sprawling APIs, apps, and data sets. Their strategies are reactive, and operational data is locked in silos.
- Readiness: With a structured approach to democratizing development, organizations expand their capabilities, create composable systems, and lay the groundwork for future scalability.
- Connect: Systems and data are integrated using a low-code, drag-and-drop interface with pre-built templates and reusable components—dramatically accelerating time-to-value.
- Automate: Trusted, real-time data pipelines are automated, enabling organizations to deploy AI models on top of high-quality, governed data.
- Market Leadership (Your Future): By optimizing AI-enabled automation and integration, businesses unlock operational efficiency, customer-centricity, and rapid growth.
From Data Pile-Up to Data ROI
While businesses scramble to launch AI models, they often overlook the hidden costs of managing brittle, manual, or siloed data workflows. CFOs, meanwhile, are slashing budgets and demanding return — not just reports. It’s no longer enough to be fast or even reliable—data investments must pay off in clear, measurable ways.
The key to unlocking data ROI isn’t in adding more tools — it’s in automating the flow of trustworthy data from system to insight. By reducing reliance on custom scripts, manual processes, and isolated teams, Boomi enables organizations to:
- Cut integration costs and reduce technical debt.
- Boost trust in data across business functions.
- Deploy AI faster — with higher quality inputs and less risk.
Automation also reduces dependency on tribal knowledge, enabling lean teams to accomplish more — faster and more reliably. And data that’s trusted, fresh, and contextualized is the lifeblood of intelligent systems.
The Modern Data Stack: More Tools, More Trouble?
Many organizations turned to the “modern data stack” to solve integration issues. But stacking more tools often leads to more problems: high costs, integration gaps, and data governance headaches. As IDC highlighted, the #1 blocker for data success is tool incompatibility across integration, API management, ETL, and automation platforms.
Boomi’s approach is different: consolidation over complication. Boomi’s unified platform combines:
- Low-code integration,
- Built-in governance and validation,
- Real-time data synchronization,
- AI-ready orchestration pipelines.
By replacing patchwork architectures with a cohesive system, businesses can scale confidently and cost-effectively.
Preparing for AI Agents
As AI matures, organizations are moving from using standalone models to deploying AI agents — systems that learn, reason, act, and adapt over time. But agents are only as smart as the data they receive.
Boomi’s approach ensures data is:
- Vector-embedded for semantic AI use.
- Governed and validated to avoid garbage in/garbage out.
- Orchestrated across systems of record and engagement (CRM, ERP, HCM, etc.).
- Contextualized for real-time decisioning and intelligent automation.
This framework connects the dots between data, automation, and AI orchestration, helping organizations create a sustainable, scalable foundation for AI — one that avoids hallucinations, ensures privacy, and maximizes impact.
Trusted Data Is the New Moat
As Greylock Ventures notes, trusted data is the “new moat”. It protects companies from AI failure, operational inefficiencies, and customer dissatisfaction. Boomi’s orchestration stack connects systems of engagement (like chatbots and mobile apps) with systems of intelligence (AI models) and systems of record (ERP/CRM) — delivering real-time, contextual, and governed insights at scale.
In a world awash with algorithms, data quality and context are the ultimate differentiators. Organizations need to defend their competitive edge by delivering real-time, governed insights to every layer of the business — from operational workflows to AI-driven forecasts.
Whether you’re in manufacturing, financial services, healthcare, or retail, the message is consistent: value doesn’t come from more data—it comes from the right data, at the right time, in the right hands.
Cooke Aquaculture: Scaling Data, Streamlining Experience
Real examples prove the point. Cooke Aquaculture operates across 70+ countries. Their challenge? Fragmented supply chains, disconnected data, and no unified customer view. With Boomi, they:
- Integrated systems across hundreds of subsidiaries.
- Created a 360° customer experience.
- Cut through legacy complexity to unlock insights and innovation.
The result: reduced logistics overhead, stronger customer relationships, and a platform ready for AI.
The Road Ahead: From Insight to Action
The future of business belongs to those who can operationalize their data at scale. With Boomi, this isn’t just a possibility — it’s a proven pathway. Whether you’re just starting out or advancing toward AI integration, the key steps are clear:
- Connect everything that matters
- Automate your data flows with confidence
- Govern for security and trust
- Deploy AI on a strong data foundation
The next generation of business success won’t come from chasing algorithms. It will come from unlocking trusted, timely, and contextualized data—and using it to fuel insight, action, and advantage.
This is just one piece of the puzzle. Discover the full picture of what’s ahead for Boomi—watch the webinar: Boomi World 2025 Highlights.