Hvorfor Excel ikke vil dø: netværkseffekter, styringshuller og regnearksproblemet fra AI-æraen

/Teknologi/ Af

Oversigt:Excel er 40 år gammelt og stadig overalt – selvom organisationer taler om moderne dataplatforme og AI. Årsagen er ikke, at Excel er "bedste praksis". Det er, at Excel er en universel brugerflade: fleksibel, lærerig og hurtig til små analyser. Faren er, når regneark stille og roligt bliver til produktionssystemer – udokumenterede makroer, skrøbelige arbejdsgange og kritiske beslutninger bygget på filer, der ikke styres centralt.

Excel-historien handler i virkeligheden om, hvordan organisationer administrerer (eller undlader at administrere) data.

Hvorfor Excel nægter at dø

Fra BBC-rapporten:

  • Excel er fortsat meget brugt og integreret i uddannelse.
  • Det er ekstremt godt til hurtig analyse og diagrammer på små datasæt.
  • Mange organisationer udvisker grænsen mellem analyse (fint i Excel) og behandling/drift (risikabelt i Excel).

Excel lykkes fordi det er:

  • lav friktion
  • udtryksfuld
  • lokalt kontrolleret

Det er fordele for brugeren – men ulemper ved styringen.

Regnearksfælden: Analyse bliver til infrastruktur

BBC citerer en akademiker, der beskriver afdelinger, hvor:

  • datastrømme ind i regneark
  • makroer transformerer det
  • output føder vigtige operationer

Risikoen:

  • makroforfatteren forlader
  • ingen forstår arbejdsgangen
  • fejl ophobes usynligt

Sådan bliver "midlertidige" regneark til permanente systemer.

Hvorfor AI gør problemet skarpere

AI er sulten efter:

  • rene, standardiserede, centralt tilgængelige data

Regneark har en tendens til at producere:

  • duplikerede datasæt
  • modstridende versioner
  • uklar oprindelse
  • lokale "skygge-IT"-processer

Så organisationer, der forsøger at implementere AI, støder ofte på en mur:

  • deres data er fanget i folks Excel-filer

I den forstand blokerer Excel ikke AI, fordi det er gammelt – det blokerer AI, fordi det decentraliserer datastyring.

Den organisatoriske virkelighed: Folk ønsker kontrol

En central indsigt i BBC-rapporten er kulturel:

  • Teams ønsker at beholde deres Excel-arbejdsgange
  • de ønsker nye systemer til eksport til regneark

Dette er forståeligt:

  • Excel føles som ejerskab
  • Nye systemer føles som tab af kontrol

Men for ledere tilhører dataene organisationen, ikke individuelle filer.

Hvorfor det er svært at erstatte Excel

Excel er et universelt værktøj.
Udskiftning kræver enten:

  • en række værktøjer, eller
  • skræddersyede systemer, der er tilpasset hver arbejdsgang

Det er dyrt og forstyrrende.

En mere realistisk strategi er:

  • tillad Excel til analyse
  • forbyde Excel som registreringssystem

Den linje skal håndhæves, ellers kollapser den.

Praktiske alternativer (og hvad de rent faktisk gør)

BBC beskriver virksomheder, der flytter til:

  • planlægningssystemer
  • værktøjer til sagsstyring
  • regnskabsplatforme, der udtrækker fakturadata

Disse systemer leverer:

  • strukturerede datamodeller
  • tilladelser
  • revisionsspor
  • automatisering

De reducerer risikoen for:

  • lydløse redigeringer
  • versionskaos
  • udokumenterede transformationer

Den skjulte omkostning ved Excel: operationel risiko

Excel-fejl er ikke hypotetiske:

  • modelleringsfejl
  • kopier/indsæt fejl
  • forældede filer

Når regneark kører operationer, bliver risikoen systemisk.

Derfor gennemtvinger nogle organisationer i sidste ende forandring ved at:

  • ikke tillader regnearket at sameksistere med det nye system

Det lyder hårdt, men sameksistens betyder ofte, at "intet ændrer sig".

Hvad skal man se

  1. Skygge-ITom teams fortsætter med at opbygge missionskritiske regneark.
  2. Datastyringsprojektercentralisering og standardisering af data.
  3. AI-adoptionAI vil forstærke straffen ved rodede data.
  4. Bedre værktøj: systemer, der bevarer Excel-lignende fleksibilitet med reel styring.

Konklusion

Excel består, fordi det er virkelig nyttigt.

Det virkelige problem er ikke, at folk analyserer data i Excel – det er, at organisationer i stilhed kører kritiske processer i Excel.

Hvis AI er den næste bølge, vil de organisationer, der vinder, ikke være dem med de mest avancerede modeller. Det vil være dem, der endelig får deres data ud af skrøbelige regneark og ind i styrede systemer.

Kilder

Document Title
Excel is hard to quit: why it persists, where it becomes dangerous, and why AI makes data governance urgent
Excel remains a universal tool for quick analysis, but becomes risky when it runs operations. AI adoption raises the penalty of messy, decentralised spreadsheet data.
Title Attribute
oEmbed (JSON)
oEmbed (XML)
JSON
View all posts by Admin
Why more CEOs are sharing the top job: the case for (and against) co-CEOs
Liquid cooling is becoming the bottleneck tech for AI data centres
Page Content
Excel is hard to quit: why it persists, where it becomes dangerous, and why AI makes data governance urgent
Nature
Climate
Why Excel won’t die: network effects, governance gaps, and the AI-era spreadsheet problem
/
Technology
/ By
Admin
Summary:
Excel is 40 years old and still everywhere—even as organisations talk about modern data platforms and AI. The reason isn’t that Excel is “best practice.” It’s that Excel is a universal interface: flexible, teachable, and fast for small analyses. The danger is when spreadsheets quietly become production systems—undocumented macros, fragile workflows, and critical decisions built on files that aren’t centrally governed.
The Excel story is really a story about how organisations manage (or fail to manage) data.
Why Excel refuses to die
From the BBC report:
Excel remains widely used and embedded in education.
It’s extremely good for quick analysis and charts on small datasets.
Many organisations blur the line between analysis (fine in Excel) and processing/operations (risky in Excel).
Excel succeeds because it is:
low friction
expressive
locally controlled
Those are user advantages—but governance disadvantages.
The spreadsheet trap: analysis becomes infrastructure
The BBC quotes an academic who describes departments where:
data flows into spreadsheets
macros transform it
outputs feed important operations
The risk:
the macro author leaves
nobody understands the workflow
errors accumulate invisibly
This is how “temporary” spreadsheets become permanent systems.
Why AI makes the problem sharper
AI is hungry for:
clean, standardised, centrally accessible data
Spreadsheets tend to produce:
duplicated datasets
conflicting versions
unclear provenance
local “shadow IT” processes
So organisations trying to adopt AI often hit a wall:
their data is trapped in people’s Excel files
In that sense, Excel isn’t blocking AI because it’s old—it’s blocking AI because it decentralises data governance.
The organisational reality: people want control
A key insight in the BBC report is cultural:
teams want to keep their Excel workflows
they want new systems to export into spreadsheets
This is understandable:
Excel feels like ownership
new systems feel like loss of control
But for leaders, the data belongs to the organisation, not to individual files.
Why replacing Excel is hard
Excel is a general-purpose tool.
Replacing it requires either:
a suite of tools, or
custom systems tuned to each workflow
That’s expensive and disruptive.
A more realistic strategy is:
allow Excel for analysis
prohibit Excel as a system of record
That line must be enforced, or it collapses.
Practical alternatives (and what they really do)
The BBC describes businesses moving to:
planning systems
case management tools
accounting platforms that extract invoice data
These systems provide:
structured data models
permissions
audit trails
automation
They reduce the risks of:
silent edits
version chaos
undocumented transformations
The hidden cost of Excel: operational risk
Excel failures aren’t hypothetical:
modelling errors
copy/paste mistakes
outdated files
When spreadsheets run operations, the risk becomes systemic.
That is why some organisations eventually force change by:
not allowing the spreadsheet to coexist with the new system
It sounds harsh, but coexistence often means “nothing changes.”
What to watch
Shadow IT
: whether teams keep building mission-critical spreadsheets.
Data governance projects
: centralising and standardising data.
AI adoption
: AI will amplify the penalty of messy data.
Better tooling
: systems that preserve Excel-like flexibility with real governance.
Bottom line
Excel persists because it’s genuinely useful.
The real problem is not that people analyse data in Excel—it’s that organisations quietly run critical processes in Excel.
If AI is the next wave, the organisations that win won’t be the ones with the fanciest models. They’ll be the ones that finally get their data out of fragile spreadsheets and into governed systems.
Sources
BBC News (Technology of Business):
https://www.bbc.com/news/articles/cwyxkzjpp87o?at_medium=RSS&at_campaign=rss
←
Previous Post
Next Post
→
oEmbed (JSON)
oEmbed (XML)
JSON
View all posts by Admin
Why more CEOs are sharing the top job: the case for (and against) co-CEOs
Liquid cooling is becoming the bottleneck tech for AI data centres
Excel remains a universal tool for quick analysis, but becomes risky when it runs operations. AI adoption raises the penalty of messy, decentralised spreadsheet data.
Document Title
Page not found - Florin.blog
Image Alt
Florin.blog
Title Attribute
Florin.blog » Feed
RSD
Skip to content
Placeholder Attribute
Search...
Page Content
Page not found - Florin.blog
Skip to content
Home
Blog
Garden Decor
Indoor
Main Menu
This page doesn't seem to exist.
It looks like the link pointing here was faulty. Maybe try searching?
Search for:
Search
Quick Links
Outdoors
About
Contact
Explore
Bestsellers
Hot deals
Best of The Year
Featured
Gift Cards
Help
Privacy Policy
Disclaimer
: As an Amazon Associate, we earn from qualifying purchases — at no extra cost to you.
Florin.blog
Florin.blog » Feed
RSD
Search...
a Dansk