If you’ve looked under the hood at your enterprise’s digital architecture lately, chances are it’s not a pretty picture. Data is sprawling across more locations, sources, and systems than anyone can reasonably track. And somewhere at the core, multiple generations of legacy technology that continue to serve as the critical backbone of your business struggle to integrate with anything modern.
This is the reality for most enterprises, and it’s precisely why so many digital transformation initiatives stall or fail outright. But the root cause isn’t a lack of ambition or investment; it’s the result of taking the wrong approach to connectivity and integration from the start.
Keep reading to learn how data modernization and cloud modernization offer a way out of this trap, not simply by throwing more technology at the problem, but by finally making your data, apps, and workflows actually connect instead of coexisting in separate silos.
What Is Data Modernization and Why Does It Matter?
Data modernization is when you ditch the outdated infrastructure and storage setups holding you back and upgrade to cloud-based or hybrid systems that can actually keep pace with how your business runs today. But it goes well beyond the kind of simple data migration that gets your data from Point A to Point B. Data modernization is a full-scale rethink of how you store, process, integrate, govern, and secure that data across the board.
Plenty of organizations have poured money into cloud adoption only to discover that their data is still siloed, inconsistent, or inaccessible. They hit these modernization chokepoints simply because their systems can’t talk to one another. The result is IT unable to move at the speed your business demands, leaving the people making decisions flying blind.
The TLDR is that reshaping your applications, data, and infrastructure with cloud modernization is no longer a luxury. You need it to actually take advantage of what the cloud can do and make faster calls with better information. That’s why the companies that treat modernization as a business priority instead of just an IT checkbox are the ones pulling ahead.
Why Do Enterprises Need Data Modernization Now?
If you’re wondering whether data modernization for your organization is overdue, the warning signs are hard to miss.
Frequent system downtime and instability are usually the first red flags, and every outage translates directly into lost revenue and eroded trust.
Then there’s the scaling problem. If your architecture requires major rework every time demand spikes, it’s like you’re stuck on a treadmill running to standstill instead of actually running the race against your competitors.
On top of outdated code offering clunky user experiences and depending on tools that won’t play nice with modern APIs, entrusting it with your data is also a serious security liability. Legacy systems often rely on deprecated or insecure protocols and software that no longer receives security patches.
Meanwhile, the ongoing difficulty attracting and retaining IT talent is exacerbated by the fact that few skilled engineers want to spend their careers maintaining ancient code that no one else understands.
Add in the ever-present risk of falling out of regulatory compliance and the picture gets pretty alarming. Outdated systems put you squarely in the crosshairs for hefty fines and reputational damage as the requirements of GDPR, HIPAA, and similar frameworks intensify.
As eclectic as they are, every one of these problems traces back to the same root cause: legacy systems lack the APIs and integration capabilities needed to connect with modern analytics, cloud services, and SaaS applications.
5 Key Benefits of Data Modernization in the Cloud
The case in favor of data modernization is backed up by hard numbers. A Forrester Consulting study commissioned by Boomi Enterprise Platform surveyed 420 cloud and real-time-data decision-makers worldwide and found they enjoyed measurable gains across five areas: speed, cost, efficiency, security, and AI readiness. Here’s what that looks like on the ground:
1. Your engineers get their time back
According to the Forrester study, 70% of organizations that pursued integration and modernization saw IT free up time for higher-impact work. Low-code integration platform as a service (iPaaS) play a major role here. Integrations that ordinarily take weeks or months to hand-code can now take just hours.
When routine integration tasks are automated and simplified, the pressure on IT teams drops dramatically, so your data engineers and architects can stop spending their days on maintenance firefighting and start working on projects that actually move the needle forward.
2. You stop bleeding cloud budget
Nearly three in four decision-makers report their company going over its cloud budget due to excessive storage demands, a lack of integration strategy, overconsumption of network bandwidth, or inefficient cloud architecture.
But when you start managing cloud spend at the solution architecture level, you can make smarter decisions before costs spiral. The Forrester study found that among organizations executing integration and modernization initiatives, 69% got better control over cloud spend, 67% achieved more effective cloud cost management, and 59% saw lower data provisioning costs.
3. Data actually flows where it’s needed
Data modernization breaks your data out of the departmental silos where it’s been locked away. When information can actually move between systems, real-time analytics and AI-powered decisions morph from wishful thinking into tangible goals.
For example, automated data flows cut out the manual handoffs that introduce errors and slow everything down. Forrester’s numbers bear this out: 58% of respondents saw better data visibility and reporting across their cloud environments.
4. Your security posture stops being a patchwork
From fraud detection and threat management to access controls and encryption, modern platforms give you centralized security that legacy systems simply can’t match.
And when you can handle data quality, lineage, and regulatory compliance from a single consolidated governance hub instead of dozens of disconnected systems, it’s far easier to actually monitor and enforce your policies.
5. Faster innovation and AI readiness
AI and machine learning workloads are hungry for fast, high-quality, and accessible data. This is where data modernization really starts to prepare your organization for the future.
Forrester found that 60% of decision-makers were able to fast-track generative AI adoption as a direct result of their modernization efforts. Another 59% gained the ability to run generative AI models that pull from data across cloud applications, while 65% can now use AI for app integrations.
The Essential Components of a Data Modernization Strategy
A successful data modernization strategy isn’t a single project you kick off and tick a box on, it needs to be a coordinated push across several disciplines that all work together.
Data integration sits at the heart of everything, pulling data from your CRM, ERP, external APIs, and other sources to create a single, coherent picture across on-premises, cloud, and hybrid environments.
Next, carry out data cleansing and quality management to make sure what you’re actually working with is reliable. This means stripping out duplicate records, fixing errors, and establishing consistent formats.
To achieve scalable storage and faster analytics, turn to modern data warehousing using cloud-based warehouses, data lakes, and data lakehouses.
Pair that with data governance and security policies covering access controls, encryption, and compliance monitoring, and you’ve got the operational bedrock for your modernization effort.
Now, thanks to data mining, machine learning, and predictive analytics, you can transform your modernized data into something you can reliably act on.
Finally, with cloud-native technologies like microservices, containers (Kubernetes), and serverless computing, you have the flexibility to adapt when conditions inevitably change.
Why Cloud Modernization Projects Stall and How to Get Them Moving
None of this is guaranteed to be easy. Doing cloud modernization by yourself often involves real technical, cultural, and financial hurdles that can derail even well-funded initiatives. The good news is that each of these challenges has a proven path through it, as long as you identify the risks early and plan accordingly. Let’s take a look:
Problem: Poor documentation of legacy systems
Solution: Adopt a “data first” approach by identifying your most critical data assets, mapping how they’re used across the organization, and creating comprehensive system diagrams, data dictionaries, and dependency maps before launching the project. This upfront investment prevents costly surprises downstream and ensures your modernization effort is built on a framework of truth rather than assumptions.
Problem: Data silos and integration complexities
Solution: Turn to API-led connectivity and iPaaS to link old and new software and establish clear integration standards that ensure support for future platforms. Pre-built integrations cut out redundant data flows and mean your team doesn’t need to hand-code connectors, dramatically speeding up deployment.
Problem: Budget overruns and delays
Solution: Start by defining clear, measurable goals — whether that’s a 20% cost reduction within 12 months, faster time-to-insight, or AI readiness. From there, run phased rollouts with set milestones, and shift left for cost control by taking action at the solution architecture level where decisions about service adoption and integrations have the greatest impact on spend.
Problem: Resistance to change and skills gaps
Solution: Engaging stakeholders early helps build buy-in, and targeted training programs close knowledge gaps over time. The fastest lever you can pull is adopting low-code platforms that democratize development and enable business analysts and citizen developers to contribute to projects that would otherwise sit in an IT backlog. The right tooling also naturally breaks down organizational silos alongside technical ones — Forrester found that 65% of respondents reported that integration and modernization initiatives helped finance, tech, product, and business teams work together more efficiently.
Finally, treat modernization as a continuous process, not a one-and-done project. CI/CD pipelines keep your integrations current with cloud services, and a mindset of ongoing improvement keeps you from falling behind again six months after launch.
Data Modernization Use Cases Across Industries
Organizations in all industries are already putting data modernization to work by connecting previously siloed data, automating manual processes, and enabling real-time decision-making at scale. Here are just some of the results being achieved across various sectors:
- Manufacturing: Fever-Tree, a UK premium mixer brand operating in 80+ countries, was relying on disconnected ERP, MRP, and third-party systems held together by spreadsheets, leaving employees spending over a week each month manually translating data for planning updates. Using Boomi, Fever-Tree integrated 30+ systems, collapsing an 80-spreadsheet weekly task to just minutes and giving the MRP team 24+ months of demand visibility to focus on higher-value work.
- Retail: Groupe Rocher, a French beauty company spanning nine brands in 100+ countries, was managing a sprawling legacy estate thanks to a 700-person IT team and multiple integration platforms that required extensive custom coding. After evaluating several iPaaS vendors, the company chose Boomi’s low-code platform and developed 300 workflows in under two years — streamlining supply chain operations, enabling seamless omnichannel experiences, and building the scalability to keep expanding globally.
- Financial services: Teachers Mutual Bank, one of Australia’s largest mutual banks, couldn’t build custom-coded integrations fast enough to keep pace with evolving fintech services or deliver the mobile-first experience its members expected. Boomi’s plug-and-play architecture enabled the bank to integrate 40 applications, cut integration times by up to 90%, and deploy a unified “one screen” customer support view, all while significantly lowering IT operating costs.
- Healthcare: The American Cancer Society, with 250+ offices and 1.5 million volunteers, was hampered by disconnected systems and limited integration tools that created high operational overhead and made it difficult to connect patients with caregivers. Boomi unified ACS’s fragmented data stack across 120+ applications, cut Salesforce replication from hours to minutes, and connected 39% more patients with volunteers while processing 250,000 transactions daily.
- Higher education: The University of Technology Sydney needed to modernize its integration infrastructure to support 40,000+ students without disrupting critical services. Legacy systems required manual oversight and couldn’t handle peak enrollment volumes of 300,000 documents. Boomi Managed Cloud Services powered a painless migration of the university’s core student platform, slashing grade ratification from 16 days to 24 hours and enabling processing of 30,000 documents daily during enrollment.
Apply Integration and Automation to Speed Your Modernization Drive
If data modernization is your destination, Boomi’s low-code integration platform as a service is the engine that gets you there faster. iPaaS takes the pain out of connecting disparate on-premises, cloud, and hybrid environments so you can modernize across your business without building everything from scratch.
Low-code development speeds deployment, reduces your reliance on specialized coding talent, and gives you centralized security and governance across all integrations.
And for organizations exploring AI, Boomi iPaaS provides an orchestration layer for data pipelines, chatbot development, and multi-agent interactions where precise data handling is paramount.
The payoffs add up fast: time savings, less pressure on IT, fewer bottlenecks holding up critical business initiatives, reliable data with high uptime, and smoother collaboration through cloud-based interfaces.
Ready to modernize? Download the Forrester report on controlling cloud costs through modernization, or grab the free eBook on 12 key benefits of integration and automation for your organization.