SaaS or ecosystem? The hidden costs of scattered tools in a company
The last decade got companies used to one model: pick the best product for each function. A separate CRM, a separate project tool, a separate invoicing system, one for HR, one for reporting. Each works well on its own. The trouble starts when they need to be connected, and that usually means manually copying data from one system to another.
The best-of-breed approach works fine in many cases. But in an organization with established, interconnected processes, it tends to leave you with a set of tools that don’t talk to each other, and the bridge between them gets built daily, by hand, by the team.
This isn’t a piece against SaaS. Such tools work well for startups still shaping their processes, or for single, unrelated functions. But it’s worth taking a closer look at cases where a dozen or so separate systems are supposed to integrate on their own, because most of the time, they don’t.
The hidden costs of scattered SaaS systems
A company with mature processes that spent years choosing the “best” tool for each function usually ends up with 10 to 20 systems that can’t see one another. The symptoms tend to look the same:
- employees log into a dozen apps individually and keep just as many tabs open,
- data about the same client sits in several places at once and doesn't match,
- a "how's the quarter going" report means hours spent stitching together spreadsheet exports by hand,
- every connection between two systems becomes its own project, its own cost, and its own point of failure.
None of these costs appear on the license invoice. They show up in the time employees spend copying and sorting data, a cost that’s rarely tracked anywhere, though it often turns out to be the biggest of all.
How an ecosystem brings data and processes together
An ecosystem made up of Power Platform, Dynamics 365, Teams, SharePoint, Power BI, Outlook, and Azure differs from a set of separate products because it runs on a shared data model. That means a few things:
- information moves between applications without building separate connections, since it lives in one model rather than several independent databases,
- people log in once and work within an environment they already know, since it's the same Microsoft they use to write emails,
- Power BI pulls data directly from operational systems, so manual exports are no longer needed,
- Teams becomes the place where work actually happens, rather than another inbox to check.
A dedicated application built within such an ecosystem doesn’t add another standalone tool to an already crowded stack. Instead, it connects systems the company already owns. A salesperson can see a client’s history right in Teams, a manager has current KPIs in Power BI without asking anyone for an export, and a new hire learns one environment instead of fifteen interfaces.
A practical example: how much integration can save
The following example is illustrative, but it shows well where the real value in such projects usually lies.
A service company, 150 employees
Five separate SaaS systems: CRM, projects, HR, invoicing, BI. License cost: roughly 18,000 PLN per month. The tools don’t communicate; data gets copied by hand or passed around through CSV files.
After switching to Power Platform combined with Microsoft 365 and Dynamics 365: one environment, one login, Power BI pulling data continuously. A report that used to take 3 to 4 hours a week is now available right away. Manual data entry disappears.
Result: license costs fell by about 35%. Most of the benefit, though, lies elsewhere. Staff work within one familiar environment, and onboarding new people takes almost no time. No license breakdown reflects this part, yet it turns out to matter most.
When a single SaaS tool makes sense
A standalone SaaS solution can be the right choice when a function is truly separate and unconnected to the rest of the processes, when a company is still working out its processes and doesn’t want to lock them into a system yet, or when a given product is specialized enough that nothing in the ecosystem compares. These are real situations, and there’s nothing wrong with them.
The challenge appears when an organization with established, interconnected processes picks a dozen such tools at once, and later faces growing integration costs. The more mature the company, the more processes run through these silos, and the more expensive it gets.
Summary: one environment or fifteen tools
It’s worth comparing license costs against the time employees spend copying data between systems. In many companies that second cost turns out higher, even though it’s rarely measured. One environment the company already uses every day can cut it down, and it also shortens onboarding for new employees.
Instead of searching for fifteen best-in-class tools, it’s worth checking whether the environment the company already relies on can do something no standalone tool can: talk to itself.
