Zakaj Excel ne bo umrl: omrežni učinki, vrzeli v upravljanju in problem preglednic v dobi umetne inteligence

/Tehnologija/ Avtor

Povzetek:Excel je star 40 let in je še vedno povsod – tudi ko organizacije govorijo o sodobnih podatkovnih platformah in umetni inteligenci. Razlog ni v tem, da je Excel »najboljša praksa«. Gre za to, da je Excel univerzalen vmesnik: prilagodljiv, učljiv in hiter za majhne analize. Nevarnost nastane, ko preglednice potihoma postanejo produkcijski sistemi – nedokumentirani makri, krhki delovni tokovi in ​​kritične odločitve, zgrajene na datotekah, ki niso centralno upravljane.

Zgodba o Excelu je pravzaprav zgodba o tem, kako organizacije upravljajo (ali ne upravljajo) s podatki.

Zakaj Excel noče umreti

Iz poročila BBC-ja:

  • Excel se še vedno pogosto uporablja in je del izobraževanja.
  • Izjemno je dober za hitro analizo in grafikone na majhnih naborih podatkov.
  • Številne organizacije zamegljujejo mejo med analizo (v Excelu je to v redu) in obdelavo/operacijami (v Excelu je to tvegano).

Excel je uspešen, ker je:

  • nizko trenje
  • izrazno
  • lokalno nadzorovano

To so prednosti za uporabnike, vendar slabosti upravljanja.

Past preglednic: analiza postane infrastruktura

BBC citira akademika, ki opisuje oddelke, kjer:

  • podatki se pretakajo v preglednice
  • makri ga preoblikujejo
  • izhodi oskrbujejo pomembne operacije

Tveganje:

  • avtor makra odide
  • nihče ne razume poteka dela
  • napake se neopazno kopičijo

Tako se »začasne« preglednice spremenijo v trajne sisteme.

Zakaj umetna inteligenca problem še bolj zaostruje

Umetna inteligenca je lačna po:

  • čisti, standardizirani, centralno dostopni podatki

Preglednice običajno ustvarijo:

  • podvojeni nabori podatkov
  • nasprotujoče si različice
  • nejasnega izvora
  • lokalni procesi »senčne IT«

Torej organizacije, ki poskušajo uvesti umetno inteligenco, pogosto naletijo na zid:

  • njihovi podatki so ujeti v Excelovih datotekah ljudi

V tem smislu Excel ne blokira umetne inteligence, ker je star – blokira jo, ker decentralizira upravljanje podatkov.

Organizacijska realnost: ljudje si želijo nadzora

Ključni vpogled v poročilo BBC je kulturni:

  • ekipe želijo ohraniti svoje Excelove delovne tokove
  • Želijo nove sisteme za izvoz v preglednice

To je razumljivo:

  • Excel se zdi kot lastništvo
  • novi sistemi se zdijo kot izguba nadzora

Za vodje pa podatki pripadajo organizaciji, ne pa posameznim datotekam.

Zakaj je zamenjava Excela težka

Excel je orodje za splošno uporabo.
Zamenjava zahteva eno od naslednjih možnosti:

  • nabor orodij ali
  • sistemi po meri, prilagojeni vsakemu delovnemu procesu

To je drago in moteče.

Bolj realistična strategija je:

  • omogočite Excel za analizo
  • prepovedati Excel kot sistem zapisovanja

To mejo je treba uveljaviti, sicer se bo zrušila.

Praktične alternative (in kaj v resnici počnejo)

BBC opisuje podjetja, ki se selijo v:

  • sistemi načrtovanja
  • orodja za upravljanje primerov
  • računovodske platforme, ki pridobivajo podatke o računih

Ti sistemi zagotavljajo:

  • strukturirani podatkovni modeli
  • dovoljenja
  • revizijske sledi
  • avtomatizacija

Zmanjšujejo tveganja za:

  • tihe spremembe
  • kaos različic
  • nedokumentirane transformacije

Skriti stroški Excela: operativno tveganje

Napake v Excelu niso hipotetične:

  • napake pri modeliranju
  • napake pri kopiranju/lepljenju
  • zastarele datoteke

Ko preglednice izvajajo operacije, tveganje postane sistemsko.

Zato nekatere organizacije sčasoma uveljavijo spremembe tako, da:

  • ne dovoliti sobivanja preglednice z novim sistemom

Sliši se ostro, toda sobivanje pogosto pomeni, da se "nič ne spremeni".

Kaj gledati

  1. Senčna ITali ekipe še naprej ustvarjajo preglednice, ki so ključne za poslovanje.
  2. Projekti upravljanja podatkovcentralizacija in standardizacija podatkov.
  3. Uvajanje umetne inteligence: Umetna inteligenca bo povečala posledice neurejenih podatkov.
  4. Boljše orodje: sistemi, ki ohranjajo prilagodljivost, podobno Excelu, z resničnim upravljanjem.

Bistvo

Excel vztraja, ker je resnično uporaben.

Prava težava ni v tem, da ljudje analizirajo podatke v Excelu, temveč v tem, da organizacije tiho izvajajo kritične procese v Excelu.

Če bo umetna inteligenca naslednji val, zmagovalne organizacije ne bodo tiste z najzahtevnejšimi modeli. To bodo tiste, ki bodo končno spravile svoje podatke iz krhkih preglednic v nadzorovane sisteme.

Viri

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.
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Why Excel won’t die: network effects, governance gaps, and the AI-era spreadsheet problem
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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
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