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Discover how we help organizations modernize their data architectures and solve complex data challenges.

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2024

IFRS 17 Business Rules Implementation for an Insurance Company
Insurance Insurance

IFRS 17 Business Rules Implementation for an Insurance Company

An insurance company needed to implement complex IFRS 17 business rules within its data processing environment. The regulatory standard required frequent adjustments to calculation logic as interpretations evolved and auditors provided feedback. At the same time, business users, particularly actuaries and finance specialists, needed the ability to define and modify rules directly, without depending on IT development cycles for every change.

Exasol
Omnichannel Article Analytics for a Major Retailer
Retail Retail

Omnichannel Article Analytics for a Major Retailer

A major retailer needed a unified view of article performance across multiple sales channels: online, stationary stores, and partner networks. The existing data environment lacked a harmonized article master. Product data from different channels lived in separate systems with inconsistent structures, and cross-channel performance comparison was impossible.

dbt Exasol Airbyte Datavault Builder

2023

Post-Merger Customer Data Consolidation for a National Energy Provider
Energy Energy

Post-Merger Customer Data Consolidation for a National Energy Provider

Following the acquisition of a major competitor's private and business customer portfolio, a national energy provider faced the task of consolidating data and structures from two separate IT environments. Customer scoring systems that had been built for the acquired customer base needed to be carried over into the acquiring company's environment. At the same time, the existing development cycles and staffing overhead for changes and new developments were high relative to the output delivered.

dbt Snowflake Airflow automateDV

2022

Data Vault Optimization for a Global Food Ingredients Manufacturer
Manufacturing Manufacturing

Data Vault Optimization for a Global Food Ingredients Manufacturer

A global food ingredients manufacturer with approximately 800 employees had introduced Data Vault as its data warehouse architecture. However, the initial implementation mixed several approaches: source-driven Data Vault elements without clear alignment to business processes, dimensional elements tailored too narrowly to specific reports, and a lack of proper hard rules for source data cleansing. The result was an unnecessarily complex model that blurred the boundaries between data integration and data architecture.

dbt Exasol Datavault Builder

2021

Analytics Standardization for a Leading Automotive Supplier
Automotive Automotive

Analytics Standardization for a Leading Automotive Supplier

A leading automotive supplier was managing its analytics environment through a patchwork of disconnected tools and manual processes. Individual teams relied on Microsoft Access databases, Excel spreadsheets, and MySQL instances to prepare and analyze data, with direct access to source systems rather than a structured ETL layer. Reporting was developed independently across departments. This created data silos and made it impossible to trace how key figures were calculated.

Exasol Datavault Builder

2020

Unified Customer Journey for a Leading Tourism Group
Travel & Tourism Travel & Tourism

Unified Customer Journey for a Leading Tourism Group

A leading European tourism group wanted to build a comprehensive view of the customer journey, consolidating booking components from hotels, flights, and other travel services across multiple disconnected systems into a single, customer-centric perspective.

dbt Snowflake Informatica PowerCenter IBM DB2

2019

Legacy ETL Migration: From IBM DataStage to dbt on Snowflake
Financial Services Financial Services

Legacy ETL Migration: From IBM DataStage to dbt on Snowflake

A company operating a mature data platform based on IBM DataStage faced escalating costs and operational friction. Each release required approximately five days of manual deployment effort, the process was error-prone, and the on-premise licensing and infrastructure costs continued to rise. The deployment bottleneck consumed a significant share of the team's capacity, leaving less time for development work that would deliver business value.

dbt Snowflake IBM DataStage IBM DB2

2017

Parallel DWH Development During Core System Modernization for a German Insurer
Insurance Insurance

Parallel DWH Development During Core System Modernization for a German Insurer

A German insurance company with over 100 years of history was modernizing its central insurance administration system, the backbone of policy management, claims processing, and customer data. The modernization introduced a bi-temporal information model in the new source system, tracking both the time an event occurred in the real world (business time) and the time it was recorded in the system (system time). This added a layer of complexity that the existing data warehouse was not designed to handle.

Datavault Builder QlikView

2016

Data Architecture Modernization for a Mid-Size German Insurer
Insurance Insurance

Data Architecture Modernization for a Mid-Size German Insurer

A mid-size German insurance company with around 2,000 employees was running its analytics infrastructure on an aging technology stack. The core platform consisted of DB2 UDB as the data warehouse database, with data sourced from an IBM host system, loaded through Talend and SAS Data Integrator, and delivered to business users via Oracle BI. The technologies were established but increasingly difficult to maintain, and the load processes suffered from performance problems that slowed down data delivery.

IBM DB2 Talend SAS Data Integrator Oracle BI MID Innovator

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