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Microsoft Azure Analytics

Predictive Models/Predictive Analytics with Azure Analytics
Standaard Power BI voor Microsoft Dynamics NAV, AX D365 FO, BC en Exact Globe web

What is Azure Analytics?

Microsoft Azure Analytics is Microsoft's Analytics stack in the cloud. Within Azure you will find various solutions that help you to make data transparent. This can be traditional BI, but also complex predictive models. Such as a self-learning system that recognises patterns.

For example, when you look at your business processes with Azure Machine Learning, you can see that the system provides lines in these processes that you have never seen before. By looking at the past, it is easier to extend the line. With this as a basis, many applications become available.

Know what the future will bring

Companies of the future know what is going on inside their premises, but also far beyond them. They know what is happening now, but also what will happen next month. But how do you get the wisdom? The answer can be found within existing data that you reveal with tooling from the Azure Analytics stack. Questions you can answer are, for example, 'when do we need to schedule time to provide machine 9 service' (Predictive Maintenance). Or 'which article is going to sell well next week in the city of Breda?
Modern-Data-Warehouse-Architecture-Microsoft-Azure

From static report to automated actions

Azure Analytics in the BI spectrum

Business Intelligence often starts with Business Analytics, where you look at the past and use it to make choices. The next step on the BI maturity ladder is to look at the now. In doing so, you want to combine data to get a full reflection of the truth. At that moment you are working with BI as it is intended. But actually, you want to know what will be on your chart next week. With Azure Analytics those possibilities come within reach.
Maturity Ladder van Business Intelligence

Data Factory

Azure Data Factory is a solution for bringing data from different sources together. These can be on-premise sources and sources from the cloud. Data from the different sources can then be transported quickly and easily to where you need it.

SQL Data Warehouse & Data Lake

SQL Data Warehouse, just like the Data Factory, is a place where data comes together. However, this is more suitable because of the MPP (Massively Parallel Processing) architecture, which makes SQL Data Warehouse capable of handling the workload of any enterprise. In addition, relationships between data and sources have already been established.

Machine Learning (ML) & Stream Analytics

Quickly process large amounts of data and gain insight from it. That is what these solutions are good at. With Machine Learning, connections become visible and you quickly see where change is needed. With Stream Analytics, you view a continuous stream of data and it is immediately clear what is happening. For example, is the temperature of a machine below level? With Stream Analytics this data can be integrated in the rest of the Intelligence tooling.

Power BI

Power BI is a cloud-based business analytics service that instantly displays the most business critical information in a single overview. Monitor the health of your business with a live dashboard, create rich interactive reports with Power BI Desktop and access your data with the native Power BI Mobile app. It's easy, fast and cost effective!

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