Mission

The Data Pipeline Factory is a managed service for analytical projects that addresses the challenges of data integration:

Required data sourcesare stored in disparate internal and external environments and come in different formats
Data change constantly
Associated data is isolated, and the same entity comes with different identifiers
Information is hidden in raw data without context
Unstructured data contain a wealth of information that cannot be used
Cyberattacks threaten data in motion and at rest
Regulatory requirements need to be met (e.g., GDPR, HIPAA, etc.).

Key Features

What Data Pipeline Factory is based on

Expertise

Our team consists of highly skilled professionals with experience in Big Data & ETL.

Technology

Our solution is built on top of Azure and resolves all data integration needs.

Operations

We monitor and operate data pipelines to offer good SLAs for analytical solutions.

Key Features

Capabilities of the Data Pipeline Factory

Dynamic data integration (e.g., internal data, client data, third party data, web data, etc.)
Trusted data products (e.g., data typing, data matching, data mapping, data enrichment, metadata management, etc.)
Smart solutions for structuring data (e.g., natural language processing, table recognition, auto-mapping to target format, etc.)
Standardization of data (e.g., mapping to uniform target format, sharing of algorithms, creating data pools, etc.)
Secure & compliant platform (i.e., certified technical architecture, monitoring and exception handling)

Key Features

The Data Pipeline Factory principles

Unlike traditional infrastructure and operations services with highly standardized processes and strict responsibilities, the Data Pipeline Factory follows principles from agile development:

DevOps

Product teams keep end-to-end responsibility (“You build it, you run it.”), including product-specific2nd and 3rd level support. Another team, Digital Operations, augments DevOps activities for ops & monitoring, case management and support for cross-sectional components to provide efficient and consistent delivery of our digital products.

Customer First

The Data Pipeline Factory handles external customer-facing, business critical services which require a high degree of customer centricity, courtesy and confidence in user interactions and professional handling of operations and support. High customer satisfaction is a key objective for Munich Re as the global leader in reinsurance services.

Managed Service, Cloud, Multi-Tenant

The Data Pipeline Factory is a managed service running in the cloud with multi-tenant architecture.

Service Availability

The Data Pipeline Factory services are available in all geographies where the Big Data Analytics Platform is available.

Continuously Improving

A spirit of constant improvement and continuous optimization of the services and underlying processes and tools exists. This goes hand in hand with the agile CI/CD approach of the product teams.

Data Pipeline Factory

The Data Pipeline Factory is an Azure cloud-based solution built to provide the right data at the right time for analytical solutions.

What Data Pipeline Factory is based on

Expertise

Technology

Operations

Capabilities of the Data Pipeline Factory

The Data Pipeline Factory principles

Primary insurance data from customers

Technologies we use

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