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You can find tangible know-how, tips & tricks and the point of view of our data and AI experts here in our blog posts

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Develop Your Data Strategy Using the Flywheel Principle: Why Momentum Matters More Than Commitment
Develop Your Data Strategy Using the Flywheel Principle: Why Momentum Matters More Than Commitment

Develop Your Data Strategy Using the Flywheel Principle: Why Momentum Matters More Than Commitment

How do you develop a data strategy that moves beyond planning? This article uses the flywheel principle to show how concrete use cases, clear accountability, and visible business value can build lasting momentum.

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Cluster AI Use Cases Instead of Collecting Them: Mise en Place for Proof of Value
Cluster AI Use Cases Instead of Collecting Them: Mise en Place for Proof of Value

Cluster AI Use Cases Instead of Collecting Them: Mise en Place for Proof of Value

AI use cases can be collected quickly, but prioritizing them is what determines their actual value. Learn how to cluster ideas effectively, build strategic capabilities, and establish a sound starting point with a Proof of Value.

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Data Roadmap 2026: Your Data Journey in Four Horizons
Data Roadmap 2026: Your Data Journey in Four Horizons

Data Roadmap 2026: Your Data Journey in Four Horizons

A data roadmap does not have to be a rigid five-year plan. Learn how to structure your data journey across four sequential horizons, make value visible early, and keep business, people, and technology moving in sync.

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Boosting Productivity: Can the Right Data Strategy Triple Your Margin?
Boosting Productivity: Can the Right Data Strategy Triple Your Margin?

Boosting Productivity: Can the Right Data Strategy Triple Your Margin?

How can small improvements in revenue, costs, and workflows have a disproportionately large impact on margins? Using a simple calculation, this article shows how data, AI, and automation can help you boost productivity in a targeted way.

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Data Quality: What Businesses Can Learn from Claude Monet
Data Quality: What Businesses Can Learn from Claude Monet

Data Quality: What Businesses Can Learn from Claude Monet

What do Claude Monet and the quality of your company’s data have in common? This article explains why blurry, inconsistent data can distort decisions—and how to create a reliable foundation for management, analytics, and AI.

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SAP OData in Practice: The Complete Guide from SEGW to Service Activation
SAP OData in Practice: The Complete Guide from SEGW to Service Activation

SAP OData in Practice: The Complete Guide from SEGW to Service Activation

OData is the language your SAP system uses to talk to the world today. We'll show you step by step how to turn an idea into a production-ready, delta-capable OData service in S/4HANA or ECC.

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Adding the E to dbt: Extracting Source Systems With dbt Core and Snowflake
Adding the E to dbt: Extracting Source Systems With dbt Core and Snowflake

Adding the E to dbt: Extracting Source Systems With dbt Core and Snowflake

Discover how Snowflake User-Defined Table Functions can bring data extraction into your dbt data pipelines. The article shows how to pull Salesforce data directly into Snowflake and materialize it in dbt models without a separate ingestion tool.

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Better Retrieval Using the AI Staffing Example: Late Interaction Retrieval, Cross-Encoders, and LLMs Compared
Better Retrieval Using the AI Staffing Example: Late Interaction Retrieval, Cross-Encoders, and LLMs Compared

Better Retrieval Using the AI Staffing Example: Late Interaction Retrieval, Cross-Encoders, and LLMs Compared

In the age of agentic AI, retrieval quality often determines how reliably a system performs. Using an AI staffing use case, we show how retrieval can be meaningfully improved with late interaction retrieval, cross-encoders, and LLM-based approaches.

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Azure IoT Hub, IoT Edge, and Azure IoT Operations Compared
Azure IoT Hub, IoT Edge, and Azure IoT Operations Compared

Azure IoT Hub, IoT Edge, and Azure IoT Operations Compared

Which Azure IoT solution fits which scenario? This article compares IoT Hub, IoT Edge, and Azure IoT Operations—and explains why OT-centric data flows are becoming increasingly important for physical AI and modern production environments.

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Snowflake Intelligence: When Data Learns to Speak & AI Comes to the Data
Snowflake Intelligence: When Data Learns to Speak & AI Comes to the Data

Snowflake Intelligence: When Data Learns to Speak & AI Comes to the Data

We'll show you how to get to actionable insights and decisions faster with Snowflake Intelligence. And: How to realize use cases and increase the ROI of your data platform: with little effort and without technical know-how.

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The Benefits of a Fully Integrated MRM Solution
The Benefits of a Fully Integrated MRM Solution

The Benefits of a Fully Integrated MRM Solution

An integrated Marketing Resource Management (MRM) solution is far more than just another tool in the system landscape. It becomes your central platform for managing and efficiently utilizing marketing resources, digital assets, budgets, campaigns, content, and approvals in one place. This significantly improves transparency, quality, and the ROI of your marketing activities. In this article, we outline different paths to successful integration and help you identify the best solution for your specific needs.

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Private Endpoints in Azure: Benefits, Drawbacks, and Real Costs
Private Endpoints in Azure: Benefits, Drawbacks, and Real Costs

Private Endpoints in Azure: Benefits, Drawbacks, and Real Costs

Private networking in Azure increases security, but it also comes with higher costs and greater architectural effort. We explain which risks are often overlooked and when private endpoints actually make sense.

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