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DWin­sur­ance

DWin­sur­ance is a com­pre­hens­ive sample solu­tion for busi­ness intel­li­gence applic­a­tions, tailored to the Ger­man and Swiss insur­ance industry. DWin­sur­ance and its ready-made mod­ules sig­ni­fic­antly accel­er­ate the design and imple­ment­a­tion phases of projects.

DWin­sur­ance is a com­pre­hens­ive sample solu­tion for busi­ness intel­li­gence applic­a­tions, tailored to the Ger­man and Swiss insur­ance industry. DWin­sur­ance and its ready-made mod­ules sig­ni­fic­antly accel­er­ate the design and imple­ment­a­tion phases of projects.

What is DWin­sur­ance?

synvert has derived a sample solu­tion for data ware­house and busi­ness intel­li­gence applic­a­tions from many imple­ment­a­tion pro­jects at insur­ance com­pan­ies. You bene­fit from shorter design and imple­ment­a­tion times – and more stable res­ults. Take advant­age of industry exper­i­ence and shorten tech­nical coordin­a­tion times.


DWin­sur­ance cov­ers all insur­ance lines of busi­ness (prop­erty and cas­u­alty, motor vehicle, acci­dent, health, life, pen­sions) and looks on them from a busi­ness per­spect­ive. The start­ing point is KPIs and key fig­ures with com­mon defin­i­tions as a basis for dis­cus­sion and work.


These key fig­ures are tech­nic­ally rep­res­en­ted in mul­ti­di­men­sional data marts with fact and dimen­sion tables in vari­ous forms. They include vari­ous types of key fig­ures such as port­fo­lio fig­ures (num­ber of insured per­sons, etc.), event fig­ures (num­ber of con­tracts, num­ber of ter­min­a­tions), mon­et­ary fig­ures (premium, claims costs, etc.), and internal pro­cesses, e.g. for eval­u­at­ing employee sur­veys, are also modeled.


To sup­ply the data marts, there is a integ­rated Core DWH which is also struc­tured accord­ing to func­tional sub­ject areas and there­fore also provides a good basis for data mesh projects. 

The biggest advant­ages at a glance

Meas­ures and KPIs

DWin­sur­ance con­tains around 200 KPIs and there basic meas­ures defined on KPI spe­cific­a­tion sheets. The spe­cific­a­tion sheets con­tain the defin­i­tions, cal­cu­la­tion for­mu­las, fil­ter con­di­tions and other categories. 

Data Mart layer

DWin­sur­ance provides around 40 data mod­els for the data mart layer, which are based on the concept of dimen­sional mod­el­ing as a star or snow-flake schema.


The data marts are derived from busi­ness trans­ac­tions and their key fig­ures and provide answers to tech­nical ques­tions, such as port­fo­lio ana­lyses, claims stat­ist­ics, cam­paign suc­cess ana­lyses or internal processes. 

Core Data Warehouse

DWin­sur­ance offers around 20 sub­ject areas with data mod­els for a core data ware­house, which form an applic­a­tion-neut­ral, integ­rated and his­tor­icized layer.


Here, the busi­ness ori­ented data areas (part­ners, products, fin­an­cial trans­ac­tions, claims, etc.) are designed in nor­mal form as a single source of truth. Care was taken to ensure a bal­anced mix of gen­eric model con­structs (e.g. for addresses) and semantic­ally modeled elements. 

Cata­log

In a cata­log com­pon­ent, the key fig­ure spe­cific­a­tion sheets are linked to the model objects (fact tables and dimensions).
The data marts are also linked to the sup­ply­ing ele­ments of the core DWH.


On this basis, com­pany-spe­cific adjust­ments can be made quickly and eas­ily in workshops. 

synvert experts

Timofej Lisow

Senior Consultant

Timofey Lisov is an experienced physicist and Senior Consultant at synvert. His specializations include software development, architecture, AWS, and DevOps. With extensive knowledge and experience in these areas, including AWS certifications, he possesses technical expertise in finance, energy, and insurance. As a Senior Consultant, he leads complex projects and supports clients in solving technical and business challenges, whether in software development or optimizing business processes.

Ulrich Hebestreit

synvert Academy speaker

Ulrich Hebestreit studied mathematics and has been dealing with all aspects and challenges of software engineering for 30 years. For more than 20 years, his particular focus has been on the architecture, design, and implementation of software systems for the efficient processing of large data volumes. Since 1994, Mr. Hebestreit has been working as a data warehouse architect and chief software engineer for synvert. He leverages his experience from over 100 projects to prepare and conduct his seminars. For several years, he has also been involved with the topic of Hadoop.

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