DSS - Data Science & Strategie

Sales & Marketing

Geo Dashboarding

Geo Dashboarding

Geo dashboarding gives B2B sales and marketing teams a clear, data-driven view of where their best prospects are located.
By combining internal sales data, external company and employee data, and geographic information, potential customers are identified and visualized on an interactive map. This enables targeted prospecting, better alignment between teams, and more focused sales efforts across regions.

Sales & Marketing

Web Personalization

Web personalization uses customer data to show the right content to the right user at the right time.
By combining behavioral tracking with a customer data platform (CDP), digital channels can deliver personalized content, product recommendations, and targeted campaigns, improving user experience while enabling up- and cross-selling.

Sales & Marketing

Market Basket Analysis

Product recommendations use customer and sales data to suggest relevant products at the right moment.
By analyzing past purchases and customer behavior, complementary products can be recommended across sales channels. This leads to higher cross-sell and up-sell rates, larger basket sizes, and a smoother sales process for both customers and sales teams.

Customer deduplication Cover image

Customer Deduplication

Customer deduplication creates a single, reliable view of each customer.
By cleaning, matching, and merging customer records using a structured and automated process, duplicate profiles are combined into one master customer ID. This ensures consistent customer data across systems, accurate reporting, and more effective marketing and customer interactions.

Senior SAP Analytics Architect

We’re looking for a passionate and experienced Senior SAP Analytics Architect to help clients modernize their SAP analytics landscape and unlock the full potential of their data. In this role, you’ll design and implement cutting-edge solutions at the intersection of SAP and Microsoft Azure—transforming legacy environments into scalable, cloud-based architectures in SAP & Azure Cloud technology.

Generative AI

In this 1-day workshop, you'll gain the fundamental knowledge to kickstart your journey in understanding, building and using your own Generative AI applications. The focus of this training will be on creating text-based applications (using LLMs) but we’ll be touching on other applications of generative AI as well (image, code, …). You'll learn how you can build your own generative AI applications, what the difference is between fine-tuning, retraining, prompt engineering, … Finally, at the end of the day, you should have gained all capabilities to build your own chatbot using Azure OpenAI.

Generative AI

In this 1-day workshop, you'll gain the fundamental knowledge to kickstart your journey in understanding, building and using your own Generative AI applications. The focus of this training will be on creating text-based applications (using LLMs) but we’ll be touching on other applications of generative AI as well (image, code, …). You'll learn how you can build your own generative AI applications, what the difference is between fine-tuning, retraining, prompt engineering, … Finally, at the end of the day, you should have gained all capabilities to build your own chatbot using Azure OpenAI.

Machine Learning on Azure

As a data scientist you might be interested in how to improve the development in a ML lifecycle and bring ML algorithms faster to production or overcome challenges with the current development cycle. In this 2-day course in Machine Learning on Azure we explain how you can develop and train your machine learning algorithms in Azure and Databricks at scale, MLOps principals to register and track ML models, how to easily deploy and serve models. The course explains all the principles and is supported with practical exercises to cover the end-to-end ML lifecycle.

Machine Learning on Azure

As a data scientist you might be interested in how to improve the development in a ML lifecycle and bring ML algorithms faster to production or overcome challenges with the current development cycle. In this 2-day course in Machine Learning on Azure we explain how you can develop and train your machine learning algorithms in Azure and Databricks at scale, MLOps principals to register and track ML models, how to easily deploy and serve models. The course explains all the principles and is supported with practical exercises to cover the end-to-end ML lifecycle.

Data Science for BI Analysts

It is important for business analysts and programmers to understand advanced analytics and the value it can bring to organizations. Our 2-day introductory course in Data Science explains all the concepts and processes that lead to successful projects and gives practical examples of machine learning.