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Spoiler alert: it can be hard…
Building a data-driven solution starts with extracting data from your systems. For many cloud applications, this requires leveraging APIs. In this blog, we will explain the fundamentals of APIs, connecting API’s and their challenges and share easy-to-use tools to help you get started and kickstart your data-driven journey.
Where data science has been an exciting topic for the more tech-savvy people for years, it has reached the general public significantly. This new wave of AI popularity has sparked business interest in learning more about data science, AI, and its capabilities. With this blog, we hope to give you some info that can help you kickstart your first data science project, making buzzwords a reality for your organization.
In this blog, we are looking at a common scenario in the world of data: Microsoft Excel versus PowerApps. PowerApps offers a great alternative to our traditional spreadsheets. We will explore why it sometimes might be a clever idea to switch from your familiar spreadsheets to the new world of PowerApps.
On November 14th, 2023, the Future of Data & Analytics took place in Sparta-Stadium ‘Het Kasteel’ in Rotterdam. Leading organizations told us their stories on business digitalization. This page will give you access to the slides of the different sessions.
When it comes to data management, there are tons of solutions in the market. This makes the choice of the right fit in your organization a challenge. In this blog, we compare and contrast the two most used stacks in the Netherlands right now; the Microsoft Stack and Timextender.
Discover how Process Mining can optimize the Order to Cash process. Increase efficiency, reduce costs and make data-driven decisions using this innovative technology.
In Microsoft Fabric, data engineering plays a pivotal role to empower users to architect, construct, and upkeep infrastructures that facilitate seamless data collection, storage, processing, and analysis for their organizations.
Microsoft Fabric is a platform that offers Data Science solutions to empower users to complete end-to-end data science workflows for data enrichment and business insights. The platform supports a wide range of activities across the entire data science process, from data exploration, preparation, and cleansing to experimentation, modeling, model scoring, and serving predictive insights.