Microsoft Azure Data & Analytics

Microsoft Azure Data & Analytics

Next Level Cloud Analytics

You already have an SAP analytics landscape in place and would now like to really get to grips with big data, data lakes and AI? Then Microsoft’s Azure Cloud, with its many analytics and AI appli­ca­tions, is probably also on your radar. We can show you how to combine your SAP environment with the benefits of the Azure Cloud and accompany you on your journey into the future.

From data to insights: The journey with Microsoft Azure Analytics

Microsoft Azure Analytics is a collection of integrated cloud services from Microsoft that helps organi­sa­tions process and analyse large amounts of data to gain valuable insights. These services include advanced analytics tools such as Azure Synapse Analytics, which offers unlimited scala­bility and powerful data explo­ration, Azure HDInsight, a managed Hadoop distri­bution for big data tasks, and Azure Datab­ricks, an Apache Spark-based analytics platform. With Azure Analytics, users can benefit from machine learning, artificial intel­li­gence and business intel­li­gence platforms integrated into the Azure cloud to effec­tively collect, store, process and analyse their data. Azure Analytics also makes it possible to perform real-time analyses, which improves the respon­si­veness of companies to market changes and accele­rates decision-making processes.


Important analytics & AI tools in the Azure Cloud:

  • Microsoft Fabric: An all-in-one enter­prise analytics solution that covers every­thing from data movement and data science to real-time analytics and business intel­li­gence. The solution offers a compre­hensive suite of services (including data lake, data engineering and data integration in one place).
  • Azure Synapse Analytics (formerly SQL Data Warehouse): An analytics service that combines big data integration, enter­prise data warehousing and Big Data analytics.
  • Azure HDInsight: A fully managed cloud service that enables the running of open source analytics frame­works such as Apache Hadoop, Spark, Kafka and HBase.
  • Azure Datab­ricks: An Apache Spark-based analytics platform optimised for Azure that supports colla­bo­rative data science and analytics.
  • Azure Data Lake Analytics: An on-demand analytics job service that enables simplified data processing and management without the need to manage resources.
  • Azure Stream Analytics: A real-time analytics and complex event processing service that enables large-scale data stream processing.
  • Azure Data Explorer: A real-time big data analytics service optimised for telemetry and time series data.
  • Azure Machine Learning: A cloud platform that enables developers and data scien­tists to build, train and deploy machine learning models.
  • Azure Cognitive Services: A collection of AI services and cognitive APIs that let appli­ca­tions see, hear, speak, under­stand and interpret.
Microsoft Azure Data & Analytics



Our process begins with a detailed inventory of your current system landscape. We take the time to thoroughly under­stand your existing IT infra­structure in order to identify strengths and localise areas with potential for impro­vement.

Solution archi­tecture

Planning and design of your target system landscape to fulfil the previously deter­mined requi­re­ments and the associated business objec­tives. In addition to the seamless integration of existing systems, the focus is also on covering potential future requi­re­ments.

Integration with SAP systems/data

When developing your solution archi­tecture, the primary goal is to integrate existing (SAP) systems in the best possible way in order to maximise the existing data treasure trove. We are experts in SAP processes and are therefore also very familiar with the resulting data and its structure.


Of course, we also develop new appli­ca­tions or data models in the Azure appli­ca­tions. We are happy to involve you or your internal colle­agues in the development process in order to ensure the transfer of expertise as early as possible.

Extension or migration

As soon as the new appli­ca­tions, struc­tures and data models have been set up in Azure and are ready for use, the next step is to integrate them into existing (SAP) environ­ments, expand them or replace them by migrating existing ones. Of course, we decide together which path you take.

Use of any frontend

The Azure Analytics and AI tools offer the option of connecting various front ends and using them for reports and analyses. In addition to common tools such as MS Power BI and Tableau, we can also use an add-on to enable reporting with the SAP Analytics Cloud for hypers­caler appli­ca­tions such as MS Azure.

Microsoft Azure Data & Analytics


You want to set up a data lake, finally visualise all your company data independently using a front-end tool and/or take a profes­sional approach to AI? Then the Microsoft Azure Cloud is the right way to go — and we — cobicon — are the right partner at your side. We will tackle the topic together with you — pragma­ti­cally, goal-orien­tated and without dogmatism. We will find the best way for you — whether it’s migration, side-by-side or a pure non-SAP strategy.

You need more infor­mation or have questions on this topic?

Our expert Andreas Förger will be happy to help.

+49 175 8960610