Dear reader,
Welcome to the Google Cloud Hub for BAUHAUS, your personal website with valuable and inspiring information. On this hub, we have included relevant articles to share insights into how Google Cloud can help BAUHAUS to transform to a digital leader in the retail industry. You can also find out why several of our customers, such as Home Depot and Target, decided to partner with Google Cloud. We are looking forward to the exchange with you and are always available for questions and suggestions.
Best regards,
Mathias Rast-Reich
Welcome
The three pillars of the future of retail
As the need for digital transformation continues to accelerate, Google Cloud is helping retailers to digitally transform.
IT leaders are choosing a sustainable future
Businesses need to make decisions that will ensure the continuing sustainability of our planet.
Solving for Growth
Coolblue: turning data insights into actions
Real-time data streaming through Google Cloud Platform it’s opened up a whole new set of possibilities for data-driven features.
How to boost online marketing with predictive customer lifetime value
Understanding customer lifetime value enabled MandM Direct to make informed data driven decisions.
Solving for Personalized Shopping Experience
How Digitec Galaxus matches happy shoppers with their ideal products with Google Cloud
Swiss online retailer Digitec Galaxus leverages a range of Google Cloud solutions to personalize their customer journey.
Online shopping gets more personal with recommendation AI
Ensuring a highly personalized shopping experience for online customers is crucial for establishing customer loyalty.
Solving for Efficiency
Operate more efficiently with the cloud
Organizations everywhere are calibrating against a new, challenging business landscape, and we want to help you reduce costs and solve for operational efficiency with cloud technology.
How data analytics can boost operational efficiency
The amount of data stored by organizations keeps on growing. This raises questions about storage solutions, but data analyst workloads and how to use and manage data efficiently.



