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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Descrip­tion

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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Date: 23/06/2026 23/06/2026
Time: 11:00
Location: Online-Webinar
Price: free
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Experts

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

Basic inform­a­tion

Pre­requis­ites

None

Method

Online Webinar

Tar­get audience

Product Own­ers, Pro­ject Man­agers, Data Engineers

Languages

Eng­lish

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