Blue­print before the Code: Requi­re­ment Engi­nee­ring in Data Analytics


Tired of scope creep and mis­a­li­gned expec­ta­ti­ons in your data pro­jects? Dis­co­ver how Requi­re­ment Engi­nee­ring secu­res your results!


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Blue­print before the Code: Requi­re­ment Engi­nee­ring in Data Analytics


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Beschrei­bung


Are you facing unex­pec­ted bud­get over­runs and missed mile­sto­nes in your data initia­ti­ves? The root cause is rarely the tech­no­logy its­elf; rather, it is the gap bet­ween busi­ness vision and tech­ni­cal exe­cu­tion. Our upco­ming pre­sen­ta­tion intro­du­ces a struc­tu­red approach to Requi­re­ment Engi­nee­ring, spe­ci­fi­cally tail­o­red for data ana­ly­tics pro­jects. We will share a prac­ti­cal tech­ni­ques that trans­forms vague pro­ject briefs into pre­cise, actionable tech­ni­cal blue­prints. Join us to learn how you can estab­lish a com­mon lan­guage, con­trol scope creep, and ensure your data assets deli­ver mea­sura­ble busi­ness value.


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Anmeldung


Datum: 23/06/2026 23/06/2026


Time: 11:00


Standort: Online-Webinar


Preis: free

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Experten



Kimia Karamzadeh


Consultant

Agenda


Wel­come and Introduction

  • Intro­duc­tion of speaker
  • Objec­tive of the Web­i­nar: An Over­view to Sys­te­ma­tic Requi­re­ment Engi­nee­ring (RE) in Data Projects
What is Requi­re­ment Engineering

  • Asking the “Why” before the “How”
  • Bene­fits of Requi­re­ment Engi­nee­ring in Projects
The Four-Level Requi­re­ment Pyramid

  • Trans­la­ting Busi­ness Goals into Code
  • The Requi­re­ment Pyra­mid in Action
The Pil­lars of Success

  • From Dis­co­very to Agreement
  • From Pilo­ting and Rea­lity Checks to Traceability
Chal­lenges and Best Practices

  • Com­mon Pit­falls Where the Data Pro­jects Fail
  • Real-World Examp­les and Les­son Learned
Q&A Ses­sion



Kurz­in­for­ma­tion


Vor­aus­set­zun­gen

None

Methode

Online Web­i­nar

Ziel­gruppe

Pro­duct Owners, Pro­ject Mana­gers, Data Engineers

Sprachen

Eng­lish


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