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Forecasting with Data Science can help your organization take the next step in data maturity. In this webinar, we’ll show you how to get even more out of your forecasts with AI.
In this webinar our experts compare the two solutions on four aspects. In just over 10 minutes, you will learn the difference between Power Apps and Outsystems. Sign up at the bottom of the page and watch the webinar right away!
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.
On January 28th our webinar “The best-kept secret for better Power BI dashboards” took place. In this webinar, we showed you how to drastically improve your Power BI dashboards with the help of International Business Communication Standards (IBCS) and the Zebra BI plug-in. Click here to watch a recording of this free webinar.
When your company produces dozens of monthly (management) reports, dashboards and ad hoc analyses, chances are that these reports and dashboards all look slightly different. In other sectors, having standardized communication is commonplace. The International Business Communication Standards (IBCS) standardizes the language in dashboards and reports. But what does it mean to standardize reporting language? In 20 minutes, our expert will tell you everything you need to know.
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.