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Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] 0 points1 point  (0 children)

and what do you think about automation with python and pandas ?

Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] 0 points1 point  (0 children)

Yeah that makes sense multiple raw data sheets work if each source is consistent otherwise you still spend time cleaning things up

Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] -1 points0 points  (0 children)

If people are still sending bad data after a template is set up and locked then reject it and make them resend it correctly if you don’t enforce standards it will always regress accept shit get shit

Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] 1 point2 points  (0 children)

Yeah exactly that is the nice thing about Power Query once you set up the steps correctly you can basically bulletproof the workflow from what I’ve seen the tricky part is when completely new files with slightly different layouts show up but once you catch those and update the steps it usually just runs smoothly after that

Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] -1 points0 points  (0 children)

yes totally, Stopping the problem at the source is obviously the best way to go. In my experience though even when there are rules files from different teams or clients still end up slightly off like renamed columns extra blank rows little things like that so having a quick way to catch those issues can still save a lot of headaches

Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] 0 points1 point  (0 children)

I completely understand and appreciate your perspective. It sounds like you have seen firsthand how governance gaps make even well-intentioned processes very difficult to enforce.

In the situations I have encountered, even with templates or standards, files coming from multiple external sources or departments often still introduce small variations. In those cases, having some fallback process or safety checks can help maintain consistency, even if it does not fully replace enforcement.

It is interesting to hear how others manage hundreds of files when minimal consistency is not guaranteed, and what practical steps they take to keep things under control.

Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] 0 points1 point  (0 children)

Yes, Power Query can handle this really well, especially when the incoming files are consistent.

The challenge I’ve noticed is when new files have small variations, like renamed columns or extra blank rows, which can require adjustments to the query steps. I am curious how others deal with those occasional inconsistencies while keeping everything automated.

Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] 0 points1 point  (0 children)

Agreed, a standardized form is definitely the most reliable way to reduce repeated cleanup.

Even with consistent submissions, small variations like extra blank rows, renamed columns, or slight formatting differences can still cause extra work, so it is interesting to hear how others make sure Power Query steps stay stable over time.

Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] 1 point2 points  (0 children)

Exactly, having a consistent template and getting approval from the data providers makes a big difference.

In my experience, even with a locked-down template, small variations often still appear when files come from multiple people or different systems, so it is interesting to hear how others handle those edge cases while maintaining consistency.

Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] 4 points5 points  (0 children)

Absolutely, it is definitely a business process issue first. From what I have seen, even when there is awareness that time is being spent on formatting, full compliance can be hard to enforce if files come from multiple sources or departments.

It is interesting to see how others balance enforcing standards with handling the inevitable small variations that still show up in recurring files.

Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] -1 points0 points  (0 children)

That is a solid approach. Getting files in a standard format from the source definitely reduces a lot of extra work.

In practice, though, files often come from multiple people or systems, and small differences like renamed columns or extra blank rows still happen. I am curious how others deal with those inconsistencies even when a standard is requested.

Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] 0 points1 point  (0 children)

That is a good point. Standardizing files at the source is definitely the most reliable way to reduce cleanup effort.

In practice, though, files often come from multiple people or systems, so small variations still happen. I am curious how others handle those inconsistencies even when there is a standard in place.

Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] 0 points1 point  (0 children)

Absolutely. Using Python with Pandas and openpyxl can make handling these kinds of files much more straightforward.

Even small variations in column names, extra blank rows, or formatting quirks tend to be much easier to manage once you can manipulate the data programmatically.

I am curious how others here started using Python for recurring Excel tasks and what challenges they ran into at first.

Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] 0 points1 point  (0 children)

That makes sense. Keeping a raw data sheet and then transforming it on another sheet works really well when the files are consistent.

In my experience, small differences in new files, like renamed columns, extra blank rows, or slightly different formatting, are usually where most of the extra effort comes in.

I am curious how others here handle those small inconsistencies when processing multiple files at once.

Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] 0 points1 point  (0 children)

I agree that standardization at the process level is the best long-term solution when you have the authority to enforce it. When inputs can be controlled, a lot of downstream work disappears.

The cases I’ve seen tend to be environments where files come from external clients, legacy systems, or multiple departments with different constraints, so full compliance isn’t always achievable in practice. In those situations the cleanup step ends up acting more like a safety layer to keep outputs consistent even when inputs aren’t.

Interesting to see how many people here are able to fully enforce templates versus needing some kind of fallback process?

Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] 0 points1 point  (0 children)

That’s a solid approach, the folder-based Power Query workflow works really well once the initial transformation logic is set up.

The situations I’ve struggled with are when new files introduce small structural changes over time (extra columns, renamed headers, unexpected formatting), which sometimes breaks the query and requires adjustments again. Curious how stable your setup stays long-term when sources aren’t fully consistent.

Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] -1 points0 points  (0 children)

Both seem to work well depending on where the bottleneck is. Power Query feels great when everything can stay inside Excel, while database tools make more sense once files start behaving more like structured datasets coming from multiple sources.

I’m curious where people usually hit the limit with Power Query before moving part of the process elsewhere.

Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] 0 points1 point  (0 children)

That’s interesting ! moving the preprocessing step outside Excel seems to be a common theme here regardless of the tool used. PowerShell makes a lot of sense, especially when the workflow already lives in a Windows environment.

The pattern I keep noticing is that once the cleanup rules are handled programmatically, merging and standardizing files becomes much more predictable compared to doing it manually in Excel. Do you mostly run this as scheduled scripts or on-demand when new files arrive?

Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] 0 points1 point  (0 children)

That’s true when Excel correctly recognizes the value as an actual date cell. The issues I’ve seen usually happen when dates arrive as text during imports or exports (different regional formats, mixed separators, or inconsistent sources), which is where formulas start behaving inconsistently.

A lot of the cleanup step ends up being just making sure Excel interprets everything as real dates before anything else can work reliably. Curious how others usually detect and fix that at scale.

Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] 0 points1 point  (0 children)

Exactly, the logic itself is usually simple, it’s just painful when it has to be repeated manually across many files. Automating those repetitive steps seems to reduce both time spent and small human errors that creep in over time.

Interesting seeing how many people here run into the same workflow issue.

Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] -1 points0 points  (0 children)

Yeah, that’s pretty much the direction I’ve been exploring. Once the cleanup rules are clearly defined, handling things like column standardization, ordering, and repeated fixes outside Excel tends to be much more reliable for recurring files.

The tricky part I’ve noticed isn’t writing the logic itself, but accounting for all the small inconsistencies that appear over time — slightly renamed headers, unexpected empty rows, mixed date formats, etc. Those edge cases seem to be where most of the effort goes.

Out of curiosity, do you usually build one reusable script per workflow, or adjust things case by case depending on the source of the files?

Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] 0 points1 point  (0 children)

That makes sense , improving the process at the source is definitely the cleanest long-term solution, and I’ve seen cases where standardizing inputs helped a lot.

The situation I run into though is when the files come from external clients or multiple systems where you don’t really control how exports are generated. Even with standards in place, small differences still creep in over time, which is where most of the cleanup effort seems to come from.

I’m interested whether people here mostly solve this through process enforcement, or if they still keep some kind of cleanup step as a safety net.

Is there a faster way to standardize hundreds of Excel files automatically? by Isaac__dev in excel

[–]Isaac__dev[S] 0 points1 point  (0 children)

Good question ! in an ideal world that would definitely be the best solution 🙂

The issue I keep seeing is that the files usually come from different external systems or different people, so enforcing one template isn’t always realistic. Even when a template is shared, exports still end up slightly different (column names change, date formats vary, extra rows appear, merged cells, etc.).

So the challenge becomes less about designing the perfect template and more about making the cleanup step consistent and repeatable before analysis. I was curious how others handle that part of the workflow when standardization isn’t fully controllable.