Why people love spreadsheets (pros of spreadsheets)
There’s a reason almost every business ends up in Excel at some point. You can open a blank sheet and start building immediately with no setup, dependencies, or waiting on anyone else. If you need to track something, calculate costs, or test an idea, it’s right there.
And it’s usually the fastest way to get something working and start fleshing out expenses, comparisons, you name it.
It’s also one of the best tools for thinking through a problem. You can move anything around, rename columns, try different formulas, and restructure everything in minutes. Nothing is locked in.
That flexibility makes it so easy to figure out how a process should work before it’s fully defined. For small workflows, especially when one person is in charge of the process, it’s really hard to beat:
That last point matters more than people admit. You’re not working inside someone else’s system… You’re building your own, based on your way of doing things.
There’s no doubt why spreadsheets show up early in so many operations. And why they’ve been around for decades now. They let you move quickly, figure things out, and adapt as your business or needs change.
In so many cases, your Excel sheets are not always a temporary solution, even if and when you eventually move beyond them to something more reliable and specific: whether that’s tracking complex company figures like bidding figures, quotes, invoices, and more – or simply tracking your company or employee expenses.
The beauty with spreadsheets is that they become the backbone for something more important.
“Excel is often the first version of a system that businesses use later, which is custom software – sometimes also called custom web apps or software – and spreadsheets are basically the bedrock of the custom system your business actually needs.”
The problem isn’t that businesses start in spreadsheets; because this is the place you find what works and what you will need. The problem is that your spreadsheet keeps growing while more and more people start using it.
No matter the industry you’re in, from steel construction to telesales; if you rely on a set of spreadsheets to track anything of importance, you know how quickly mistakes can snowball.
And when your entire company is integrated into one (or a set of Excel spreadsheets), this is where it gets tricky. It’s almost impossible to track who changed what, formulas get lost or overwritten, or even better… you’re 1,000 rows into a bidding sheet and someone sorts a column incorrectly, misaligning all your data in seconds.
Why people move past spreadsheets (cons of spreadsheets)
If you’ve read this far, you definitely know about that ‘one important Excel file’, the one that you sweat about losing or deleting. Could your company still function as normal without it? If someone accidently deletes an important row and reloads, thus turning the undo button into a tragic tale of woe – would your sales or operating team know what to do?
Well, fear not, because we’ve all been there! Critical Excel files usually start with something small: a quoting sheet, job tracker, weekly report, insert something small.
You chuck a couple people on as editors, because one file helps get work done a bit faster. So you add to it… A few more columns, some formulas here-and-there. Maybe a second tab. Then another tab. And another tab.
Someone else now needs access, so your file gets shared again and a new version gets saved. Now there’s more people and tabs involved, so a few rules get added: “fill this in first,” “don’t touch that column,” “copy this into the report sheet before sending.”
Over time, more of your work starts to flow through that same file. Quotes are calculated there. Status is tracked there. Reports are pulled from it. And this is where it starts to get sketchy and prone to mistakes, because decisions start depending on what’s inside it.
At some point, this once simple spreadsheet is now the place where all the work actually happens. It’s no longer a drafting area where ideas are outlined or raw data is temporarily stored – but where you process and then execute all your company decisions and moves.
Again, we’ve all been there, because it’s such a powerful tool… But when Excel becomes more relied on, it’s also a little harder to manage each time someone touches it.
And then the pressure shows up in small ways:
People ask which version is the right one
Numbers don’t match between reports
Someone misunderstands the internal rules and edits a formula wrong
And a simple process takes longer than it should, but no one wants to change it
None of this means the spreadsheet is wrong. It just means it’s doing more than it was ever designed to handle. Spreadsheets are amazing tools. But when they turn into the entire system, this is where you start seeing a lot of friction and unnecessary delays, mistakes, you name it.
From personal experience, I can say this with full confidence, because I saw how some of our clients had their entire company and day-to-day work run through one file (or a set of Excel files).
During their workshop onboarding, when we showed them how they weren't just “using Excel” and instead pointed out the friction points their entire business operated under, it suddenly became clear… The spreadsheet was still doing the job. But it was doing it in a way that was hard to trust, hard to maintain, and harder to change.
And that’s usually the moment they start asking: “Surely there’s a better way to run this?”
What’s actually happening (without technical fluff)
Up to this point, it probably still feels like a spreadsheet problem. But it’s not really about Excel.
Look at everything that one file (or set of files) is doing in your business right now. It’s probably not just holding data anymore.
If it stores any of the following info, you've got a spreadsheet that’s being stretched to act more like a cohesive system:
Storing important company information and processes
Things like client lists, pricing tables, supplier details, or even internal rules all live inside separate tabs instead of one structured system.
Driving how work moves from one step to the next
A row gets updated, someone changes a status, and eventually that data gets copied elsewhere. Your spreadsheet is now fractured and hard to track.
Producing reports people rely on to make decisions
Weekly reports are manually stitched together from different tabs. If something upstream is off, the entire report and the decisions based on it are affected.
In other words, that spreadsheet isn’t just a sheet anymore… it’s trying to act like the entire system your business runs or relies on. The problem is simple in that it was never designed to handle such a complex role.
Excel gives you complete freedom, yes. You can structure things however you want, change anything at any time, and build logic directly into the sheet. And that’s exactly why it works so well in the beginning. But when multiple people, processes, and decisions start depending on it, that same flexibility starts working against you.
Because now:
- There’s nothing enforcing how data should be entered
- There’s no clear structure behind how everything connects
- The “rules” of how things work live inside formulas, tabs, and people's personal habits
And the process only works if everyone follows it perfectly. Which, in reality, never happens – especially at a larger scale. So what you end up with is far more than a “messy spreadsheet.”
But we all know change can often seem impossible, so people embrace their messy spreadsheets with all its flaws – not knowing there’s a better way, tried and tested by companies of all shapes and sizes.
And this is where you can start to ask, “Okay then, there’s obviously a problem, but what’s next?”
What people move to after spreadsheets: What a database-backed application actually is
At this point, you might be wondering what actually makes a “proper system” different from a spreadsheet.
Under the hood, most of “those systems” are built on something called a database. You don’t need to understand the technical details to understand why they behave differently. The simplest way to think about it is this: In a spreadsheet, anyone can type anything, anywhere. That’s useful when you’re figuring things out; but risky when the data actually matters.
Why databases are better than spreadsheets
In a database, fields are defined properly. Numbers go where numbers should go. Dates follow a format. And required fields can’t be skipped. Thus, the ‘relationships’ between data are clearly set and hard to break.
That alone removes a lot of the small errors that quickly build up over time. The same applies to how people use it… In Excel, if multiple people are working at the same time, things can get messy.
In fact, consider it an inevitability of time and luck. Edits might overlap, data gets overwritten, and changes aren’t always obvious at first.
In a database-backed system, multiple people can work at the same time, but within a controlled structure. Permissions can be set and actions can also be strictly tracked so changes don’t just disappear.
Then there’s the logic. In spreadsheets, the “rules” of how things work are usually hidden inside formulas, tabs, or one person's memory. And boy, is it chaos if that one person ever goes on leave. But in a proper system, that logic is built into the application itself and enforced automatically, instead of relying on people to remember how things are supposed to work.
High Quality Data Guarantees
Fields are defined properly. Numbers stay numbers, dates follow a format, and required fields can’t be skipped. The ‘relationships’ between data are hard to break.
Multi-User Integrity
Multiple people can work at the same time within a controlled structure. Permissions and audit trails ensure changes don't just "disappear."
Embedded Logic
The "rules" are built into the app itself and enforced automatically, rather than relying on someone's memory or a hidden formula.
The Relational Advantage
How Databases Link Reality
In a database, everything is connected by design, not by manual copy-pasting.
But here’s the catch...
There’s a reason most businesses don’t start with a custom database.
Why databases can be harder than spreadsheets:
Databases are not as easy to set up. They require upfront thinking: defining your structure, how everything connects, and how the process should work before you build it.
The historical cost barrier:
Historically, this meant writing queries and relying on expensive developers. Which made it slower, more expensive, and harder to justify; especially when Excel was “good enough” to get the job done. So most businesses stayed where it was easy, and for a long time, that trade-off made sense.
How SaaS gives people the "pros" of a database, with less "cons”
Before looking at alternatives, it’s important to understand why SaaS became the default upgrade from spreadsheets in the first place.
The SaaS Promise
- Get started quickly with no setup
- No upfront development costs
- Polished, user-friendly interfaces
- Managed hosting and security
The SaaS Trade-off
- Adjust your process to match the software
- Rely on workarounds for unique workflows
- Data lives inside systems you don't control
- Limited or expensive customization
Tools like Salesforce, QuickBooks, or HubSpot became popular because they removed a huge amount of complexity for business owners who didn't have time to learn how to code.
Everything was handled for you: you didn’t need to think about infrastructure, security, updates, or maintenance. Research from Gartner has consistently shown that businesses, from 2021 and before, preferred SaaS because it reduced upfront costs while speeding up deployment.
The Ultimate Decision Matrix
| Feature | Spreadsheet | SaaS | Custom Database |
|---|---|---|---|
| Ownership | ✅ | ❌ (vendor owns platform + structure) | ✅ |
| Control | ✅ | ❌ (limited to platform rules & features) | ✅ |
| Upfront Cost | ✅ | ✅ (low initial setup cost) | ⚠️ (depending on your app design) |
| Ongoing Cost | ❌ (hidden cost = manual labour/time) | ❌ (subscription grows over time) | ✅ |
| Complexity | ✅ | ✅ (easy to start, guided setup) | ⚠️ (depending on your design and needs) |
| Ease of Use | ✅ | ✅ | ✅ (it all depends on how you want it designed) |
| Flexibility | ✅ | ❌ (limited to product features) | ✅ |
| Scalability | ❌ | ⚠️ (scales users, not always workflows) | ✅ |
| Data Structure Quality | ❌ | ⚠️ (fits generic workflows only) | ✅ (fully custom schema) |
| Integration Ability | ⚠️ (manual / fragile) | ⚠️ (prebuilt integrations) | ✅ (custom integrations) |
The Downsides of SaaS
SaaS works well when your business fits the way the software was designed. The problems usually start when that isn’t the case.
Most SaaS tools are built for broad use cases, which means they’re designed around “average” workflows across thousands of companies. That makes them easy to adopt, but not always a precise fit for how a specific business actually operates day to day.
Over time, this creates a few consistent friction points:
- You end up adjusting your process to match the software, instead of the software matching your process
- You rely on workarounds when features don’t quite fit your workflow
- Different tools start handling different parts of the same process, which creates gaps in between
- Your data lives inside systems you don’t control
- And custom changes are either limited, expensive, or simply not possible
The result is that SaaS often solves the “starting problem” extremely well, but introduces a “fit problem” as the business becomes more specific, more operationally complex, or more dependent on internal workflows.
This is why many companies eventually end up with stacks of SaaS tools connected by spreadsheets, manual exports, or duplicate data entry. Each tool works well on its own, but the space between them becomes the real source of friction.
At that point, the limitation isn’t whether SaaS is good software. It’s that it was never designed to be your system of record for a workflow that doesn’t match its default structure.
Moving beyond SaaS and Excel: The 3 Paths
By this point, your team is not going to suddenly say, “hey, we need a new system.”
It’s usually more reactive and subtle. Something keeps breaking or simple reports take too long. Numbers don’t match, or most commonly: only one person understands how the spreadsheet works and becomes a serious bottleneck, because such an important role was placed on a single soul, instead of that one person working with a system anyone can use in their absence.
So naturally, you’re going to wonder what would be the next step. Yes, it’s easy to see there are friction points and bottlenecks in your current spreadsheet setup… but without swimming in a sea of noise, what is the best alternative?
In practice, most businesses end up going down one of three paths.
Path 1: Keep Improving the Spreadsheet
This is usually the first move. You might try adding more structure… Clean up the tabs, lock certain cells, or maybe introduce new validation rules or macros.
If you’re using tools like Microsoft Excel or Google Sheets, you might layer in automation or scripts (which takes some serious know-how and a lot of time.)
But to be fair, this can work for a while. If the workflow is still relatively small, or controlled by one or two people, tightening things up can buy you time. However, it doesn’t change the underlying issue… which is, you’re still relying on a flexible file to behave like a structured system.
So the same problems tend to come back, just in slightly different forms.
Path 2: Move to SaaS Tools
Now we start looking for alternatives outward. Instead of fixing the spreadsheet, you replace parts of it with software designed for specific jobs.
For company mechanics that follow a strict protocol and order of operations, a shift to predesigned software makes sense. In fact, it’s the default path for any growing businesses.
And the reason for that shift is quite simple. According to McKinsey & Company, companies have accelerated their adoption of digital tools significantly in recent years, with many processes moving into ‘packaged software’ to vastly improve their overall speed and consistency.
SaaS tools solve a lot of the problems spreadsheets struggle with, because they consistently provide:
But there’s an important catch. These tools are designed around very common workflows. They only work best when your business fits in the exact way that software was designed to operate.
So yes, popular predesigned software works, but it also creates a lot of constraints – meaning you have to adapt to the system you sign-up for. And control can be very limiting.
If your business process is slightly different (or spans across multiple tools) you often end up stitching systems together… and sometimes reintroducing spreadsheets in between if you don’t have a ‘corporate’ budget.
Path 3: Build a Custom Business App
This is the path fewer companies consider early on (because it was once only a niche thing).
Instead of forcing your workflow into a spreadsheet – or adapting it to fit a SaaS tool like HubSpot – you have a system built around how your business actually operates.
This usually makes sense when:
- Your workflow is now central to how you make money
- Multiple teams depend on the same process
- There are too many extra notes or unique factors worked into your spreadsheets
- Or your spreadsheet contains important logic that’s hard to replicate elsewhere
In many cases, the spreadsheet you’ve been using is already a rough version of this system. It just hasn’t been formalised into something structured, reliable, and easier to use across a team.
A Perfect Comparison
A good example of this is what happened with RSB Contracts. You can read the full Case Study here, but this is the gist:
They were running large parts of their estimating and operations through a web of Excel files (especially around pricing, bidding, and tracking work.)
Some of their bid sheets ran into thousands of rows, with pricing, calculations, and dependencies spread across multiple tabs and files. It worked, but it was slow, difficult to manage, and easy to get wrong.
What changed for them wasn’t the workflow, but rather how that workflow was handled in their new system. Prebuilt software (SaaS) like HubSpot was not the right fit, but their spreadsheets were now interfering with important bids and internal operations.
So they had their spreadsheets translated into a single internal system where everything was linked:
- Estimator pricing feeds directly into bids
- Bids link cleanly to contracts and downstream processes
- Data is structured and consistent across the board
- And the same logic that existed in Excel is now enforced automatically
"So instead of jumping between files, copying data, and double-checking formulas, everything lives in one place and updates as it should."
Path 1: The Optimizer
Keep improving the spreadsheet. Lock cells, add macros, and buy time. Best for low-risk, infrequent processes handled by 1-2 people.
Path 2: The Adapter
Move to SaaS tools. Adopt standard workflows to gain structure and speed. Best when your business fits common industry patterns.
Path 3: The Architect
Build a custom business app. Tailor the system to your unique edge. Best when your workflow is your competitive advantage.
TLDR: There’s always an option that will fit you
At this point, we’ve covered a lot of ground… Spreadsheets. Systems. SaaS tools. Databases.
So let’s simplify things before moving on, because most of this isn’t as complicated as it sounds.
A spreadsheet is the easiest place to start. It’s flexible, fast, and completely in your control. You can shape it however you want, change things on the fly, and get a process up and running quickly.
That’s why almost every business starts there. But as we’ve seen, that same flexibility becomes a problem when more people, more data, and more decisions start depending on it.
SaaS is what most businesses move to next. Instead of building your own system, you subscribe to one that already exists.
Behind the scenes, these tools are built on structured databases (but you never see that part) – you just interact with a clean interface that handles everything for you. Basically, one company designs the system once, and thousands of businesses use it.
Then there’s the third option. You have a system built, totally tailored to your business, with cost being very comparative to the alternative SaaS options.
This is what people mean when they talk about “custom apps” or “database-backed systems.” And yes, the name makes it sound more complicated than it actually is. But in practice, it’s much simpler than that.
It’s just a system of tools (designed based on exactly how your spreadsheets work) built around how your business already works. Instead of forcing your process into a spreadsheet or bending it around a SaaS tool, your new system is shaped around your workflow from the start. You become the SaaS.
It keeps everything that made your spreadsheet useful (flexibility, ownership, and familiarity) but adds the structure that was missing, such as:
- Data that is consistent
- Processes are clearly defined
- Multiple people can work safely
- Logic runs in the background instead of fragile formulas
So if you strip away the terminology, it really comes down to this: Spreadsheets are flexible, but fragile. SaaS tools are structured, but not always a perfect fit. And custom apps sit in the middle – structured, and built around you.
When should you convert Excel to an app?
Not every spreadsheet needs to become custom software. Some are perfectly fine staying exactly as they are. Excel is still one of the fastest ways to test ideas or manage lightweight workflows.
If a file is still small, temporary, or mainly handled by one person, converting it into a proper system may add more complexity than value. Excel is still one of the fastest ways to test ideas, track information, or manage lightweight workflows.
But there’s usually a turning point where the spreadsheet stops acting like a tool and starts acting like broken operational infrastructure.
Stick with Excel if...
-
The spreadsheet is only used by one or two people
-
The workflow is still changing significantly every week
-
The data isn’t critical to daily business operations
Switch to an App if...
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Multiple people rely on the same file daily
-
The data affects revenue, quoting, or scheduling
-
People constantly copy/paste data between systems
Why custom software is your competitive advantage in 2026
For a long time, the trade-off was simple: Custom systems were powerful but expensive, slow, and out of reach for most teams. While subscriptions to SaaS platforms were fine for many years, and good enough to solve the problems and friction caused by spreadsheets.
But like McKinsey Technology Trends Outlook of 2025 observed, that preference is starting to shift fast as technology progresses and custom databases become accessible to more and more people.
Now that the technical barrier isn't so severe, the biggest change isn’t that custom systems suddenly became “easy” – but more that they’re less expensive and less time-consuming to build than they used to be.
Technically speaking, a large part of the cost to building database-backed systems is always the implementation layer: writing database queries, structuring data properly, translating messy business logic into something stable, you name it.
While that work still exists and hasn't gone away, the way it gets done has changed. Tools and AI-assisted Agents now handle a lot of the repetitive parts of that process. This would include things like generating database structures, writing SQL, building basic interfaces, and wiring up standard workflows.
What used to take weeks of manual setup can now be produced and refined much faster, especially when you’re working from existing spreadsheet systems that already define the logic.
Why this matters beyond cost
A custom database-backed system gives you something spreadsheets and SaaS tools both struggle with: A single, reliable version of your operations.
And if you think back to the problems we’ve already walked through (multiple versions of the same file, numbers not lining up, people poorly copying data between files) this becomes the outline for how your custom database would be built.
Instead of patching over those issues, this new system removes them at the source. All your data sits in one place, structured properly and connected across your workflows. If that's what you want! It’s all about choice.
Which means no more jumping between tools, no more manual copy/paste nightmares, and no more guessing which version is correct.
From there, everything gets easier: You get clear, real-time visibility into your operations through dashboards and real-time reporting that reflect what’s actually happening. And thus, decisions become faster because the data is consistent and reliable.
It’s quite marvelous, really – how a lot of the day-to-day friction disappears. Processes run the way they’re supposed to and your teams aren’t slowed down, stuck fixing errors, or stitching information together.
Instead of spending time maintaining spreadsheets or working around subscription-software limitations, your team can focus on higher-value work.
And everything still runs through a system you control: your data, workflows, and logic are owned by you, but now connected and built around how your business actually operates.
Success in the real world
The pattern across these projects is usually the same. A spreadsheet starts as the fastest way to run part of the business. Over time, it becomes the place where quoting, tracking, reporting, or operations all happen. Eventually, it stops being “a file” and starts behaving like the system of record.
The switch to a custom database-backed application doesn’t change the business model. It changes how the workflow is handled: structure replaces guesswork, and shared access replaces file duplication.
Case study 1: Perform Heating & Cooling
Kody’s team was managing core operational workflows through spreadsheets that handled job tracking, quoting, and internal coordination.
The issue wasn’t that the spreadsheet didn’t work. It was that only a few people understood how it worked. As the business grew, this created delays anytime work needed to move between teams.
After moving to a custom system, the same workflow was rebuilt as structured inputs (jobs, quotes, status updates) instead of spreadsheet tabs and manual tracking. The result was that anyone on the team could now see the current state of a job without needing to interpret formulas or hunt through sheets.
The key shift: from “who knows this file?” to “the system shows it clearly.”
Case study 2: RSB Contracts (Richard Spencer)
RSB was dealing with large estimating and bidding spreadsheets with thousands of rows of pricing logic and dependencies.
The main problem was risk. A small formatting change or incorrect edit could impact downstream calculations in ways that weren’t always obvious.
In the new system, estimating logic was separated from data entry. Instead of formulas hidden across multiple sheets, pricing rules were enforced inside the application. That meant bids could be generated consistently, and changes didn’t silently break calculations.
The key shift: from fragile formula chains to controlled business logic.
Case study 3: Bold Control (Russ Newbold)
Bold Control was operating across multiple spreadsheets for reporting, tracking, and internal coordination.
The challenge wasn’t just complexity, it was inconsistency. Different teams were effectively working off slightly different versions of the truth depending on which file they were using or when it was last updated.
The custom system centralised this into a single structured dataset with controlled updates. Reporting became something that pulled from live data instead of manually compiled sheets.
The key shift: from multiple “versions of reality” to one shared source of truth.
Client #4 (Sr. Program Director, Customer Onboarding Tool)
This client’s situation was less about internal operations and more about structured data management across systems where accuracy and reliability mattered.
Spreadsheets were being used to manage operational datasets that needed stricter control than Excel could reliably provide, especially around consistency and access control.
Moving to a database-backed system allowed structured permissions, cleaner data relationships, and safer updates across teams working on the same information.
Across all four case studies, the change is consistent: Spreadsheets worked until multiple people, processes, and decisions depended on them. After that point, the problem was no longer “Excel being limited,” but the lack of structure around how the business operated.
The move to a custom application simply made that structure explicit.
Visual Summary: The Impact of the Transition
Case study 1: Perform Heating & Cooling
Rebuilt core workflows into structured inputs, enabling the entire team to see real-time job status without interpreting complex formulas.
Case study 2: RSB Contracts
Separated estimating logic from data entry, enforcing pricing rules within the app to prevent silent calculation errors.
Case study 3: Bold Control
Centralised reporting into a single dataset, moving from manual sheet compilation to live, consistent data reporting.
Customer Onboarding Tool
Implemented structured permissions and data relationships to ensure consistency and security for critical operational datasets.
The strategic shift is essential.
Spreadsheets are not the problem. They’re often the starting point of something that works. The issue appears when they quietly become infrastructure without ever being designed for that role.
Custom database-backed applications start to matter when the workflow becomes central to how the business runs, and when accuracy, structure, and shared access begin to matter more than flexibility alone.
The shift in 2026 is that the third option is no longer unrealistic for mid-sized businesses. The barrier has dropped.
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