Data Warehouse for AI-Optimized Data
Your Data. Your Success. With our scalable DWH solution in Google Cloud.
Only 6% of all German companies exploit the full potential of their data (source: Bitkom Research 2024).
In our increasingly digitalized world, data plays a key role in a company's success. A cloud-based data warehouse is needed to clean, aggregate, and structure a company's data. Advanced analytics can then be performed on this data to facilitate decision-making.
A scalable solution can increase productivity, reduce costs and accelerate innovation. Employees have access to high-quality data sets, enabling them to make data-driven decisions in real time. With the right solutions, data is also prepared for further processing with AI tools, a cornerstone for future-proof work and business.
Building a data warehouse
Every company collects a lot of data, but only a few exploit the potential of this data. Data sets are often not accessible to all employees, are outdated and lead to incorrect analyses. The provision and preparation of data is costly and time-consuming. With a modern, cloud-based data warehouse, companies can make data usable to enable real-time decision-making. The data is prepared and structured there so that it is available for analysis and reporting.
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Data migration to a cloud-based data warehouse
Outdated data warehouse solutions are often expensive, perform poorly and cannot be scaled. Data provision is tedious, each department has an isolated data silo, maintenance and special security systems increase the costs of the existing solution. In particular, legacy systems and on-premise solutions are no longer viable for forward-looking companies and inhibit growth. By migrating to a cloud-based data warehouse, companies create the basis for real-time analytics, machine learning and AI.
More about data migration
Get AI-ready Data with a Data Warehouse
To get the most out of your company data, it should be AI-ready. But to do that, you need high-quality data, which is only available in an AI-ready data warehouse. Using the right data architecture is key to making data optimally usable for machine learning and other AI applications.
Find out moreSuccess Stories of Our Clients
Get inspired by data warehouse examples and discover the potential that a modern data infrastructure in the cloud offers.
Our Data Warehouse Solution in Google Cloud
Data is at the heart of a future-proof business strategy. That’s why we rely on the best data warehouse provider for our clients: Google Cloud.
- Outstanding Technology: As a Cloud Data Warehouse Leader (The Forrester Wave™ 2023), Google enables the development of a modern infrastructure that allows companies to support their decision-making processes with data and prepare their data for the use of AI tools.
- Extensive Expertise: As the first Google Cloud Partner in the German-speaking region, we have received specialization in Data Analytics. This officially certifies our expertise in developing customer solutions in the field of data analytics using Google Cloud technologies.
- Flexible Partner: With small, agile teams and fast communication channels, we stand by our clients as a reliable Google Cloud Premium Partner. In addition to our data analytics specialization, we have been Google Maps consultants from the very beginning, with particular expertise in handling geospatial data and data streaming.
