In order to meet the increased requirements for analyses and artificial intelligence (AI), it is essential to modernise existing analysis platforms. Companies can use cloud-based lakehouse architectures to manage both classic relational data and big data efficiently and cost-effectively on an integrated data platform.

KPMG and the cloud-based software-as-a-service company Snowflake can help you design your Modern Data Warehouse (MDWH) according to the latest technological standards and customised to your company and your use cases.

Modern data platform: AI integration and optimised business processes

A modern data platform can ensure that data is utilised across departments and is available exactly where it is needed.

The platform also creates the basis for integrating AI in the company. AI requires access to large amounts of data as well as a powerful, scalable and highly available infrastructure. These requirements can be met efficiently and cost-effectively with modern technologies and implementation solutions.

This not only opens up new fields of application, but also makes it possible to develop innovative business processes that significantly increase the benefits of data, prevent disruptions and give the company a competitive edge.

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Our range of services

Definition of a data strategy for sustainable business decisions
Development of a BI target image and a technical data & analytics platform
Data assessment and governance to maximise the value of your data
Identification and implementation of data-based use cases that offer real added value
Creation of roadmaps for the targeted use of AI and data in the company
Implementation of ESG/GDPR requirements on a modern data platform
Modernisation of the data architecture and cloud migration
Implementation of data-driven structures such as data mesh and process optimisation
Integration of complex data models and operational system integration

Successful data platform modernisation for customised data strategies and AI transformation

Our partnership combines the Snowflake AI Data Cloud with KPMG's extensive expertise in technology and business processes.

KPMG and Snowflake combine deep expertise in business intelligence, data modernisation and AI transformation. Together, we help you to build and modernise your data platform, develop customised data strategies and support the effective use of AI in your company.

We cover the entire data flow from the supplying systems, the integration of the data into the Lakehouse platform and the preparation of the data for analytical applications and users.

For our projects, we use experience-based process models and architecture blueprints that can be flexibly developed and successively expanded.

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Project examples: Migration to Snowflake, MDWH setup and AI integration

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Migration Legacy DWH to Snowflake

A retailer was supported in the migration of various applications (CRM, supplier portal, shopping basket analysis, sales performance) to the new Snowflake data platform.

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Migration of an old DWH to Snowflake

A production company migrated its existing DWH 1:1 to the new Snowflake platform, based on a joint platform selection and concept development.

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Construction of a new MDWH at a production company

KPMG carries out the platform selection & conception on the basis of a lakehouse concept. Use cases such as sensor data analysis and data-based margin and performance management were implemented.

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Building AI applications on Snowflake

KPMG supported a retailer in setting up a data science department and developing a machine learning model and a target operating model (TOM) for AI.

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Conception and implementation of a BI strategy and an MDWH

For a logistics client, KPMG developed a BI and data strategy as well as an MDWH that was implemented on Snowflake, including authorisation concepts and cloud operation.

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KPMG is a certified partner of Snowflake

KPMG offers the highest level of knowledge in the implementation of projects through excellently trained & certified employees with many years of experience in the DHW and cloud environment.