SaaS service: what it means for businesses

Many companies use the term “SaaS service” when looking for a simple answer to a practical question: what does it mean to stop running software on their own servers and use it as a service from the cloud instead?

SaaS stands for “Software as a Service”. In other words, an application runs with the provider or in the cloud and is usually accessed through a browser or an app.

For managing directors and IT managers, this is particularly relevant when they want to replace servers, run a new application in the cloud or modernise an existing line-of-business application. This is not just about standard software, but also about bespoke SaaS solutions where processes, data models or interfaces need to fit the business.

This article explains when a SaaS service makes sense, what the organisational and technical implications are, and what companies should look out for when selecting, introducing and operating one.

What a SaaS service means in day-to-day business

A SaaS service is software that is not installed on an in-house company server, but provided over the internet. Users sign in and work directly with the application, usually in a browser or via an app.

For companies, this mainly means a different division of responsibilities. Users focus on their work with the software, while the business does not have to provide and maintain the entire server landscape itself. In this context, operation includes tasks such as provisioning, monitoring, updates, data backup and the technical availability of the application.

The difference from traditional on-premises software is clear: with on-premises, infrastructure and operation largely sit with the company, whereas with a SaaS service they sit more with the service or operator. It is also important to distinguish this from bespoke cloud software: an application developed specifically for a business can also be a SaaS service if it is run as a service in the cloud. You can see the possible forms this can take in ballmüller solutions’ services.

Typical use cases include, for example:

• customer portals
• internal line-of-business applications
• CRM-related processes
• data capture
• document work
• mobile use across different devices

For decision-makers, this usually means less focus on their own servers and more focus on processes, users and the functional development of the software.

When a SaaS model makes sense – and when you should look more closely

A SaaS model is particularly obvious when several locations, external partners or mobile teams need to work with the same application. Shared access to a central solution often simplifies processes more from an organisational point of view than locally operated software.

A SaaS service is also a good fit when a new application is to be introduced without first building your own infrastructure or renewing existing servers. The same applies when older server-based solutions are to be replaced and maintenance effort, technical dependencies or outdated foundations are making operation more difficult.

The model also makes sense if an application is not meant to remain static. If user groups are growing, new roles are being added, or processes and interfaces need to be extended, a cloud-based service is often easier to develop further.

Companies should take a closer look above all in these cases:

• many legacy systems need to be connected
• data and processes have grown heavily over time
• departments have very specific requirements
• standard software does not adequately reflect the processes

Particularly for public-sector clients and in regulated environments, issues such as data protection, retention, access rights and responsibilities should be clarified at an early stage. You should review legal requirements with lawyers or data protection officers. If AI features are involved, it is also worth looking at clear organisational guardrails for AI.

In the end, what matters is not the SaaS label, but whether the operating model fits your processes, risks and development plans. For an initial assessment, the cost calculator, the project check, a no-obligation initial consultation or a look at selected reference projects can help.

What companies should clarify before implementation

Before introducing a SaaS service, companies should first sharpen the functional perspective. In other words: which processes should the application support, which user groups will work with it, and what specific problem is it meant to solve? Only once these points are clear can you sensibly decide which functions are actually needed.

Next comes the data model. It describes which information is captured, how it relates together, and which evaluations, approvals or processing steps are built on top of it. Especially in line-of-business applications, this point often determines whether a solution works in everyday practice.

Interfaces are just as important. Interfaces are technical connections through which systems automatically exchange data. If you want to keep using existing software, you should define early on which systems need to be connected and which data should flow in which direction.

Another key point is sign-in. Many companies want to keep using their existing user accounts, for example via Microsoft 365 or Entra ID. This makes access easier and supports consistent user management.

The usage scenario should also be decided early on:

• only in the browser
• on smartphone or tablet
• or mixed use across several devices

This affects the usability, scope and priorities of the application.

Clear roles are also needed for later operation: who makes functional decisions, who prioritises changes, and who supports testing and rollout?

Security is not just a minor IT detail. Access rights, handling of keys, secured access and traceable processes need to be part of the concept from the outset.

If AI features are planned, there is an additional point: purpose, data sources and approvals should be described clearly, for example for searching company knowledge, assistants or document analysis.

How operation, further development and quality are connected in the cloud

A SaaS service does not end with go-live. From a business perspective, it is an ongoing service that is supported in operation, monitored and developed further from a functional point of view. New requirements, changed processes and additional user groups are a normal part of the journey for many applications.

That is why quality is not only visible at a successful launch. It mainly emerges when changes are implemented in an orderly way, functions are checked regularly and new versions are released in a controlled manner. Automated tests are recurring checks performed by programs to verify after changes whether important functions still work as expected. CI/CD refers to standardised processes used to build, test and deploy new software versions in a controlled way.

For decision-makers, this is more than a technical detail. A sound operating approach reduces friction during updates and makes long-term maintenance of an application easier. This is particularly important when business processes are not meant to stand still, but to grow with the company.

Cloud components also have a clear role in this context:

• secured access
• central key management
• distributed provisioning

They are not ends in themselves, but support stability and maintainability.

Which technical foundation is suitable depends on the application, for example .NET, SQL databases and Microsoft Azure for web applications, portals, apps, databases and interfaces. For bespoke solutions, a sustainable development approach is worthwhile because it keeps software easier to extend; since 2022, ballmüller solutions has worked across the entire company in line with Clean Code Development.

Practical examples: what a SaaS service can look like in bespoke projects

How differently a SaaS service can look in practice is shown by three typical project types.

In a municipal setting, a web platform can make sense where local authorities manage their sewer network, its current condition and planned measures in one place. The benefit of a cloud service here lies in a central data base, location-independent access and collaborative work with clearly defined roles.

Another example is a CRM system for an insurance broker. Such line-of-business applications support structured customer and process work. The difference from standard software becomes clear very quickly here: if workflows, screens, data structures or evaluations are very specific, a bespoke SaaS solution can be a better fit for day-to-day work.

Then there are extensions between existing tools, for example a solution that connects Azure DevOps with planning software. Such connections support the flow of data between systems and show that a SaaS service often only reveals its full value in interaction with existing applications.

Further insights can be found in the references from ballmüller solutions.

How to prepare sensibly for the start of a SaaS project

To start a SaaS project, you often do not yet need a fully detailed concept. In most cases, a clear description of the goal is enough to begin with: which application is to be created, replaced or extended, and which user groups should work with it?

Existing documents are helpful here, for example:

• process descriptions
• sketches
• lists of requirements
• a specification document

For an initial assessment, it makes sense to distinguish roughly between:

• must-have requirements
• useful extensions
• open points

If you want to estimate the effort in a structured way, you can use the cost calculator for a rough cost range. If a description or specification document already exists, the project check is often the right next step. This results in a project profile with follow-up questions and a cost range.