AI Use Cases

GenAI Accelerator

Bank­ing
Improve your busi­ness with Cloud Data & AI

Why

Bene­fits for a data-driven
fin­ance company




Cloud Data & AI play a vital role in the fin­an­cial industry, and adopt­ing a mod­ern digit­al­iz­a­tion strategy not only sim­pli­fies the pro­cure­ment and man­age­ment of inform­a­tion for your cus­tom­ers, but also provides valu­able insights from ana­lyses that can help pre­dict future trends. By man­aging data in a detailed and struc­tured man­ner, fin­an­cial insti­tu­tions can bet­ter under­stand their cus­tom­ers’ beha­vior and respond to their expect­a­tions more effectively.

The fin­an­cial industry relies heav­ily on ana­lyt­ical func­tions like BI, machine learn­ing, visu­al­iz­a­tions, and risk man­age­ment tools, to enhance busi­ness res­ults and min­im­ize risks.

Success


Expert­ise

Expert know­ledge in banking





Cloud Data & AI Use Cases


  • Stand­ard use cases, like sales con­trolling, pay­ment trans­ac­tions, pro­cess con­trolling, and ensur­ing com­pli­ance with Ger­man §18 KWG doc­u­ment­a­tion requirements.
  • Integ­ra­tion of spe­cial­ized soft­ware for prob­lem credit management.
  • Replace­ment of cus­tom devel­op­ments with BaFin-com­pli­ant stand­ard products and procedures.
  • Devel­op­ment of cus­tom report­ing with inter­act­ive ana­lysis for man­aged credit portfolios.
  • Estab­lish­ing pro­ced­ures for internal and external monthly reporting.
  • Con­trolling the usage of digital services.
  • Repla­cing cus­tomer-spe­cific soft­ware to develop a new report­ing envir­on­ment with seam­less integ­ra­tion into the exist­ing BI landscape.
  • Build­ing an ana­lysis room for internal stand­ard report­ing and ad hoc analysis.
  • Imple­ment­a­tion of an author­iz­a­tion frame­work based on the exist­ing oper­a­tional system.
  • Devel­op­ing a new near-real-time DWH.


Preparation and Tools


  • Main­tain­ing, devel­op­ing, and cre­at­ing new SAS ETL pro­cesses in the DWH/BI environment.
  • Optim­iz­ing Apache Impala performance.
  • Off­load­ing data from SAP HANA to Hadoop.
  • Admin­is­ter­ing Cloudera CDH clusters.
  • Imple­ment­ing Java-based pro­cesses to auto­mate stand­ard reporting.
  • Integ­rat­ing solu­tions into the exist­ing IBM Cognos report­ing infrastructure.
  • Cre­at­ing gen­eric Data­Stage and Java com­pon­ents to sim­plify the devel­op­ment process.



Standards and Regulation


  • synvert has suc­cess­fully designed and imple­men­ted com­pre­hens­ive data man­age­ment solu­tions for lead­ing fin­an­cial insti­tu­tions, ensur­ing com­pli­ance with reg­u­lat­ory require­ments such as BCBS 239, MaR­isk, and GDPR.
  • We cre­ate a har­mon­ized, stand­ard­ized data found­a­tion that meets BaFin report­ing require­ments and integ­rates per­fectly with oper­a­tional and decision-mak­ing sys­tems in banks.
  • Besides the design of applic­a­tion archi­tec­tures for a fin­an­cial data ware­houses (FDW) we cara as well for the defin­i­tion, coordin­a­tion, and imple­ment­a­tion of devel­op­ment stand­ards, guidelines and norms for data ware­house governance.

Cus­tom­ers

Our cus­tom­ers in banking


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