Last updated: March 26, 2026
Undeniably, an integration strategy is vital for aligning organizations’ business and IT departments to execute change and ensure competitiveness in the market. It also helps organizations prioritize integration work, align investments with business goals, and improve the success rate of integration projects that support both current and future operating models.
If you are working on your integration strategy, this article will help you understand the five elements that are commonly found in the integration strategies of companies, varying from large enterprises to small and mid-size businesses.
Specifically, we will touch on the following:
Plus, we will discuss why an integration strategy should be a living document.
Let’s dive into the details. But before that, it is critical to notice that to supplement each element covered in this article, you will need to find a comprehensive data integration solution or a data integration provider that will help you achieve your goals in the short and long term. The right operating model matters as much as the technology itself: strategy, governance, implementation capability, and lifecycle support all need to work together.
Application and System Integration is the cornerstone of modern business operations. When it comes to this type of integration, you need to be strategic about what applications and systems you want (or need) to connect with and in what order you will do it.
Apart from that, you also need to consider the following questions about the applications and systems you are planning to connect:
As you may need to create and maintain numerous connections, point-to-point connectivity is not a feasible option. You should find a modern integration platform that can help you develop and manage integrations to overcome any challenges that you’d possibly encounter during application and system integrations.
As modern integration solutions are scalable, you will be able to start out with only a few connections as part of the pilot. Once you create connections with a couple of stakeholders, you will be able to assess whether the solution is the right one for you. Developing complex solutions for cloud-to-cloud, hybrid, and on-premise-to-on-premise integrations should be agile and fast with predictable pricing.
Once the solution is proven, you can go forward and start to add new connections rapidly.
The ultimate goal of connectivity across applications and systems is always to improve data sharing so that organizations can utilize data as a strategic asset.
Data sharing is critical for businesses because it improves transparency, coordination, and decision-making. However, many are still lacking sufficient solutions for sharing data in real time, and the timeliness of the data is increasingly important for organizations that want to act on insights faster and improve operations and efficiency.
The core purpose of the solution needs to be that all relevant stakeholders can easily access and use the data, the data is at their disposal at the right time, and it moves reliably between systems and applications
The variety of different data formats that firms are using makes data sharing a lot more complex. While one may use EDIFACT, the other one may have upgraded to JSON, and some may use their own proprietary formats.
The data formats need to be automatically translated during the data transfer to the preferred format of your ecosystem.
Mapping out what formats you use will help the implementation of the data integration solutions greatly. It is also important to identify where different stakeholders may interpret the same standard in different ways, as this can create process issues even when the technical connection itself works.
Besides data formats, data quality is a challenge too. If you are currently spending time validating all the messages that you are receiving and you need to forward them back to enrichment, then this is something you should also include in your strategy.
Your integration strategy should define how data will be validated, monitored, corrected, and governed over time. Bad data quality can undermine even technically successful integrations, especially when multiple internal teams and external partners depend on the same information.
Related material: Data quality: “No garbage in, no garbage out.”
Integrating applications, systems, and data is the foundation for business process integration (BPI). Integrations can help to streamline processes by automating the ones that are currently happening manually. This can increase operational efficiency and productivity. BPI is especially significant for supply chain management as many of the processes are still paper-based and happen manually.
The best way to go about integrating business processes is to start with the one that is really causing you to lose money due to current inefficient procedures. Once the concept is proven and you see the benefits of the solution, you can go back to your strategy document to plan what the next processes are that you want to improve.
In practice, this means prioritizing process integration based on business value, not just technical feasibility. The strongest integration strategies identify which processes need faster cycle times, fewer manual touchpoints, better visibility, or more consistent data handoffs across teams and partners.
Cloud and hybrid integration should now be treated as a core part of modern integration strategy, not as an optional experiment. Organizations increasingly operate across on-premise systems, SaaS applications, APIs, and external partner environments, and integration platforms are designed to support exactly this kind of landscape. Gartner defines iPaaS as a vendor-managed cloud service for integrating applications, services, and data sources both inside and outside the organization.
Cloud-based integration can help organizations execute all the elements described above while improving scalability, flexibility, and speed of deployment. Modern integration platforms are especially relevant when businesses need to connect legacy and cloud systems in hybrid environments.
The most important consideration is not simply whether a solution runs in the cloud, but whether it fits your architecture, security model, partner connectivity requirements, and operating model. Many organizations choose iPaaS because solutions can be deployed faster, integration lifecycle management can be centralized, and internal teams do not need to build every connection from scratch. Depending on the provider and service model, implementation and ongoing support can also be partly managed by external integration specialists.
Obviously, here at Youredi, we are partial. This is why we have written another post on how you can find the best data integration provider for your needs. However, evaluating a cloud-based integration approach as part of a focused pilot can still be a practical way to validate fit before scaling further.
Security must be your number one priority when you connect with external parties and share business-critical information with them. This has been one of the key concerns of all our customers.
You may already have a security assessment procedure, but if you don’t, consider developing one simultaneously with your integration strategy.
Your assessment may be influenced by your organization’s security policies, as well as governmental policies, regulatory requirements, and customer obligations.
Today, security strategy should also account for identity and access management, API security, encryption, logging, partner access controls, and zero trust principles. NIST describes zero trust architecture as a model that enables secure authorized access across on-premises and multiple cloud environments, while OWASP’s API Security Top 10 highlights how API-specific risks remain a major concern for modern digital ecosystems.
It is also important not to assume that “cloud” automatically means lower security. In many cases, the real question is whether the integration architecture, provider controls, and governance model meet your security requirements. Microsoft’s cloud adoption guidance explicitly recommends integrating security into cloud strategy from the beginning rather than treating it as an afterthought.
As part of security, also consider what data you are about to share, with whom, under what access rules, and how incidents will be detected and handled.
Don’t write an integration strategy document just to forget about it. Your integration strategy needs to be a living document.
You can adjust it if something doesn’t work or plan new connections with new parties if something is working really well.
You may also opt for more than one data integration partner – it completely depends on the nature of your business and what integrations you need to develop.
One thing is for sure: integration requirements will continue to evolve as business models, partner ecosystems, application landscapes, and security expectations change. If you are planning for the future, you have already realized that you will constantly need to add more connections, and the data volumes are yet to increase. That is why your integration strategy should be reviewed regularly and used as an active decision-making tool rather than a static planning document.
Editor’s note: This article was originally published in 2018. It has been updated in March 2026 to reflect current integration, cloud, and security considerations.