Data Reply GmbH

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Data Reply GmbH Alternatives

Vention
4.9
1,001-5,000
New York

Software Development
App Development
Web Development
Artificial Intelligence
"Data. Done Right."

Profile Overview

About Data Reply GmbH

Data Reply is a leader in innovative data consulting, empowering businesses to harness the full potential of data through tailored solutions. With an EMEA-wide presence and part of the REPLY network of over 16,000 IT experts, Data Reply specializes in cutting-edge technologies such as Cloud & Data Platforms, Artificial Intelligence, Machine Learning, Data Engineering, and Real-time Analytics. We provide end-to-end support, from conceptualizing Data & AI strategies to implementing and operationalizing data-driven applications, ensuring businesses thrive in today’s digital landscape. Whether developing scalable data infrastructures, crafting intelligent automation solutions, or driving customer-centric innovation, Data Reply delivers transformative outcomes. Partner with us to unlock insights, streamline processes, and achieve your strategic objectives through data excellence.

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Locations


Munich (Head Quarter)

Luise-Ullrich-Straße 14
80636 Munich (DE)
+49 89 411142-0

Services

15%
5%
30%
30%
10%
10%

BI & Big Data Solutions

5%
80%
15%
  • Microsoft BI & Big Data: 5%
  • Other: 80%
  • MongoDB: 15%

BI & Big Data Segments

50%
20%
10%
10%
10%
  • Other: 50%
  • Marketing Analytics: 20%
  • Compliance & Risk Management: 10%
  • IT Security & Crime Prevention: 10%
  • Operations & Process Optimization: 10%

Cloud Solutions

30%
15%
10%
45%

Artificial Intelligence

20%
25%
10%
10%
10%
10%
15%

Consulting

40%
10%
35%
15%
0%

AWS Services

10%
15%
30%
10%
5%
30%
  • AWS DevOps: 10%
  • AWS Migrations: 15%
  • AWS Machine Learning: 30%
  • AWS Development: 10%
  • AWS IoT: 5%
  • AWS Analytics: 30%
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Team

Data Reply GmbH Team

Data Reply Germany was founded in 2014 as a startup in the Reply Group with the mission to deliver cutting edge data-driven solutions in the DACH region. From the early days of Hadoop, Big Data and Data Science to today's exciting developments around AI and GenAI, Data Reply has supported enterprises, startups, scalups and SMEs in their journey.

We are a diverse group of over 75 engineers and consultants in Germany and Poland, coming from over 25 countries and giving our unique imprint to our daily work with customers.

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Portfolio

Key Clients

MAN BMW DKB VKB LIDL VW Adidas

Projects

From Compliance to Competitive Edge, Scalable Insights for ESG Success

Case Study by Data Reply GmbH

From Compliance to Competitive Edge, Scalable Insights for ESG Success
Confidential

Industry and Mechanical Engineering

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Cloud Solutions

AWS Analytics, AWS DevOps, AWS Entwicklung, AWS Machine Learning, AWS Managed Cloud


Description

A leading multinational industrial and technology enterprise needed to reliably capture, manage, and leverage sustainability data to meet increasingly stringent environmental, social, and governance (ESG) reporting standards, particularly those outlined by the Corporate Sustainability Reporting Directive (CSRD). To achieve this, the company undertook an initiative to design and implement a robust and scalable data architecture capable of adapting to evolving regulatory frameworks and business needs. Leveraging the advanced capabilities of Snowflake, the company adopted the Data Mesh approach to effectively organize sustainability-related information across diverse business units. Central to this solution was the implementation of a Data Vault 2.0 model, chosen specifically for its ability to manage complex and dynamic data scenarios while maintaining compliance and auditability. The resulting data architecture now provides stakeholders with trustworthy, accurate sustainability data, essential for strategic decision-making and regulatory compliance.

Solution

The solution centered around the strategic deployment of Snowflake, chosen for its scalability and compatibility with the Data Mesh framework, enabling decentralized yet governed data management across multiple departments. To address the challenge of evolving data requirements and ensure compliance with ESG and CSRD regulations, the company implemented a sophisticated Data Vault 2.0 methodology. This structured yet flexible data architecture enabled clear documentation, auditability, and seamless incorporation of new and changing data sources. Proactive collaboration with data owners across the enterprise ensured comprehensive understanding of sustainability data needs and facilitated accurate data modeling aligned with business and regulatory objectives. Extensive stakeholder education and guidance on Data Vault principles empowered teams to effectively define requirements and ensure ongoing adaptability, significantly enhancing overall data governance.

Results

Implementing the Data Mesh and Data Vault-based sustainability data model delivered measurable benefits, significantly improving the reliability, auditability, and accessibility of ESG-related data across the entire enterprise. Decision-makers gained timely, accurate insights into sustainability performance, directly supporting strategic business decisions aligned with regulatory obligations. The flexibility of the implemented data architecture allowed the company to effortlessly integrate new sustainability metrics and swiftly adapt to changes in ESG and CSRD reporting standards. Stakeholders reported increased confidence in sustainability data, facilitating more effective internal communication and external compliance reporting. Ultimately, the project delivered a scalable data infrastructure enabling continuous improvement in sustainability performance, regulatory alignment, and robust support for strategic ESG-driven business growth.

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