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AI Use Cases

synvert Accel­er­at­ors
Open wallet

HR-Tech  - DevX Impact at a HR-Tech Company




Con­sumer Goods & Retail


In a fast-paced, growth-driven envir­on­ment, the HR-Tech com­pany faced crit­ical chal­lenges in optim­iz­ing their soft­ware deliv­ery pro­cesses. By part­ner­ing with synvert, they were able to revo­lu­tion­ize their devel­op­ment life­cycle, dra­mat­ic­ally boost­ing speed, effi­ciency, and quality—enabling them to release soft­ware at an unpre­ced­en­ted pace.

Goals & challenges


The com­pany had the need to stream­line devel­op­ment pro­cesses, com­mu­nic­a­tion, and deliv­ery speed of their applications. 

The com­pany is tack­ling sev­eral crit­ical chal­lenges in their devel­op­ment pro­cesses to enhance effi­ciency and productivity.

  • Firstly, the need to optim­ize build times to boost developer pro­ductiv­ity and min­im­ize wait­ing peri­ods. This stream­lin­ing effort aims to exped­ite devel­op­ment cycles and improve over­all work­flow efficiency.
  • Secondly, the com­pany is pri­or­it­iz­ing the accel­er­a­tion of time to mar­ket while main­tain­ing code qual­ity and sta­bil­ity. This involves strik­ing a bal­ance between rapid deploy­ment demands and ensur­ing reli­ab­il­ity in product releases. By care­fully man­aging this bal­ance, they aim to exped­ite product launches without com­prom­ising the integ­rity and per­form­ance of their soft­ware solutions.
  • Lastly, the com­pany wants to improve feed­back loops between teams involved in the devel­op­ment life­cycle. Enhan­cing com­mu­nic­a­tion chan­nels and feed­back mech­an­isms ensures smoother col­lab­or­a­tion and quicker res­ol­u­tion of issues, fos­ter­ing a more agile and respons­ive devel­op­ment envir­on­ment. This ini­ti­at­ive is cru­cial for main­tain­ing align­ment and syn­ergy across teams, ulti­mately lead­ing to more effi­cient devel­op­ment and deploy­ment processes.

synvert facil­it­ated agile pro­cess optim­iz­a­tion and imple­ment­a­tion, spear­headed con­tinu­ous deliv­ery prac­tices, drove trans­form­a­tion in qual­ity assur­ance pro­cesses, and facil­it­ated con­tinu­ous feed­back loops for iter­at­ive improvement.

Ser­vices accom­plished by synvert 


The HR-Tech com­pany and synvert col­lab­or­ated to ensure code qual­ity while increas­ing time to mar­ket con­fid­ence and frequency.

  • The team redefined Dock­er­files to adhere to best prac­tices, pro­mot­ing con­sist­ency and effi­ciency in con­tain­er­ized envir­on­ments. This stand­ard­iz­a­tion effort aimed to stream­line oper­a­tions and enhance over­all deploy­ment effectiveness.
  • Next, we estab­lished a uni­fied auto­ma­tion infra­struc­ture, which served as a stand­ard­ized frame­work for auto­ma­tion across vari­ous teams. This ini­ti­at­ive fosters col­lab­or­a­tion and effi­ciency by provid­ing teams with a ver­sat­ile plat­form for auto­mat­ing tasks, thus redu­cing manual over­head and accel­er­at­ing devel­op­ment cycles.
  • The team also focused on improv­ing test­ing and release feed­back mech­an­isms, aim­ing to enhance the speed and qual­ity of iter­a­tion cycles. By imple­ment­ing enhanced feed­back gath­er­ing and ana­lysis tech­niques, we enabled quicker decision-mak­ing and more informed devel­op­ment iter­a­tions. This effort is crit­ical for main­tain­ing agil­ity and respons­ive­ness in the face of evolving require­ments and mar­ket demands.

Deliv­ery / conclusion


synvert optim­ized the Soft­ware Devel­op­ment Life­cycle (SDLC), enhan­cing effi­ciency, agil­ity, and col­lab­or­a­tion through­out devel­op­ment, test­ing, deploy­ment, and main­ten­ance phases — ensur­ing the seam­less deliv­ery of high-qual­ity soft­ware solutions.

  • Increased Release Fre­quency: The pro­ject saw a sig­ni­fic­ant improve­ment in release fre­quency, mov­ing from one release per day to an aver­age of four releases daily. This accel­er­ated pace enabled the team to deliver new fea­tures, bug fixes, and improve­ments more swiftly, fos­ter­ing agil­ity and respons­ive­ness in meet­ing evolving require­ments and mar­ket demands.
  • Decreased Build Times: Sig­ni­fic­ant pro­gress was made in optim­iz­ing build times, redu­cing them from approx­im­ately 14 minutes to just 4 minutes. This improve­ment dra­mat­ic­ally accel­er­ated the devel­op­ment pipeline, empower­ing developers to iter­ate faster, val­id­ate changes promptly, and sus­tain momentum through­out the workflow.
  • Enhanced Release Changelog Con­text: The release man­age­ment pro­cess was trans­formed with a stronger emphasis on provid­ing detailed con­text within release changelogs. By clearly doc­u­ment­ing changes, updates, and enhance­ments for each release, stake­hold­ers gained deeper vis­ib­il­ity into product evol­u­tion. This increased trans­par­ency improved cross-team align­ment, sup­por­ted smoother col­lab­or­a­tion, and enabled more informed decision-mak­ing through­out the devel­op­ment lifecycle.
Categories

All

Tech

Banking

Communications, Media & Telecom

Consumer Goods & Retail

Energy & Resources

Health & Life Science

Industrials

Insurance

Public Sector


Vehicle Data Store


Soft­ware­Fact­ory at a lead­ing auto­mot­ive soft­ware company


DevX Impact at a HR-Tech Company


Driv­ing Inter­na­tional Expan­sion for a Lead­ing E‑Commerce Company


Accel­er­at­ing Cloud-Nat­ive Devel­op­ment in the Auto­mot­ive Industry


Retail Com­mis­sion Dia­gnostics Anom­aly Detection


Set­ting up a Reli­able and Power­ful Platform


Pre­dic­tion of cus­tomer prob­ab­il­ity to churn


Early Detec­tion of Mech­an­ical Issues


NLP​ in Auto­mot­ive Reporting


Oper­a­tional Data Lake


Real-Time Mar­ket­ing


Auto­matic clas­si­fic­a­tion of cars by their model


Dies­el­tech Program


Data Recon­cili­ation


Cent­ral­ized Data Warehouse


Data as a Ser­vice – BI & Big Data CC


Oper­a­tional Work/Support in Data Warehousing


Erosion Detec­tion with Com­puter Vision


Devel­op­ment and Imple­ment­a­tion of a Fully Auto­mated MLOps Platform


Pre­dic­tion and Alloc­a­tion Optim­iz­a­tion for sta­tion­ary Channels


Build­ing a Near Real-Time Recom­mend­a­tion System


Migra­tion AWS data plat­form to Google Cloud


Design and Devel­op­ment of a Google Cloud-Based Data Platform


Refact­or­ing, shift and new devel­op­ment of Data Ser­vices in Google Cloud


Estab­lish­ment of a Mas­ter Data Man­age­ment Foundation


Cent­ral Data Lake


Replace­ment of a com­plex IBM Data­stage structure


CRM ana­lyt­ics and lead management


Stand­ard­iz­a­tion of eval­u­ation processes


Devel­op­ment of an ERP data hub


Estab­lish­ment and fur­ther devel­op­ment of a DWH


Devel­op­ment of a group-wide BI platform


Estab­lish­ment of a new sales report­ing system


Source data migra­tion with auto­ma­tion of the source data connection


Cloud self-ser­vice BI for data-driven cor­por­ate management


Devel­op­ment of vari­ous ML use cases with AWS


Replace­ment of an in-house soft­ware development


Com­pany-wide data integration


Imple­ment­a­tion of real-time data links


Smart Data Catalog


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