AI Boosted Technical Consulting
Large Language Models offer numerous use cases - read here to find out how you can use them to boost your data-driven business activities.
Churn prevention projects - Our FAQ
Numerous questions already arise when considering an churn prevention initiative. You can find answers in our collection or contact us!
4 Best practices for successful churn prevention projects
In numerous projects, these best practices have established themselves as key success factors in our churn prevention projects.
Reducing customer churn by 40% - how can that work?
"How do I make them stay?" Machine Learning is a powerful tool to prevent customers from churning.
Best practices for open source data catalogs
With these best practices you can ideally implement an OS data catalog
How to create an ideal data science stack
For companies to benefit from data science, they need an effective data science stack.
Pros and cons of an open source data catalog
What to definitely consider when evaluating an open source data catalog
Open source data catalogs for big enterprises - yes or no?
Why big enterprises should also consider implementing an open source data catalog
Moving to the cloud - Taking you data warehouse to the next level
You want a Cloud DWH? Read all about benefits, challenges and our best practices!
Why does the BI department need a data catalog?
Unifying the data world and the business world causes unique challenges for BI departments
Five steps to improve your data quality
Implementing your data quality initiative will be easy with these 5 steps
Comparison analysis: Snowflake vs Redshift
Identifying a suitable cloud DWH is the first, critical step of each migration project
What is a data catalog and what is it used for?
A datacatalog is a powerful to solve various data challenges
Data Science and ML
Our Modern Data Stack Whitepaper in English
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