Azure - Revolutionize Your Data Management

Scalability and flexibility: Azure adapts to changing business needs. It supports a variety of programming languages, frameworks, and databases to give you the flexibility you need for your marketing and customer data strategies.

Global reach: With data centers around the world, Azure enables global deployments to ensure high availability and low latency. Reach your customers anywhere, anytime, with maximum efficiency.

Cost Efficiency: Azure's pay-as-you-go pricing model helps you optimize your IT costs. Pay only for what you use and maximize your budget for customer experience and marketing initiatives.

Integration options: Azure seamlessly integrates multiple on-premises and third-party applications, providing a unified solution for hybrid cloud environments.

Comprehensive tools and services: From AI and machine learning to IoT, data analytics, and DevOps, Azure offers a wide range of tools and services.

As a service provider, we offer comprehensive support with a focus on customer experience and data processing. We improve the quality of your data by integrating and analyzing it with Azure services. This gives you valuable insights to better understand customer behavior and optimize your marketing and sales strategies.

With Azure Machine Learning, we develop ML models and integrate AI capabilities such as image and speech recognition to create personalized customer experiences and gain valuable insights.

We use scalable cloud infrastructure with Azure Virtual Machines, Kubernetes, and Azure Functions to flexibly respond to changing needs. For secure data storage and management, we rely on Azure SQL Database, Azure Cosmos DB, and Azure Data Lake.

Finally, we increase the efficiency and quality of your applications through application development and DevOps with Azure DevOps and CI/CD practices so you can quickly deliver innovative solutions.

Working with large amounts of data presents challenges for organizations in terms of performance, data quality, and security. Microsoft Azure provides a versatile platform for addressing these challenges and realizing the potential of big data:

• Azure Data Lake Storage: scalable and cost-effective data storage.

• Azure Synapse Analytics: Integrate, query, and analyze data.

• Azure Databricks: Fast data processing and machine learning with an optimized Spark environment.

• Azure Machine Learning: Tools for building and deploying machine learning models.

• Azure HDInsight: Big data analytics using open source frameworks such as Hadoop, Spark, and Kafka.

• Azure Stream Analytics: Real-time data processing and analytics.

• Azure Data Factory: Automated data ingestion and transformation.

• Azure Security Center: Comprehensive data protection and regulatory compliance.

Companies are faced with the challenge of processing and analysing huge amounts of data in real time. With Azure Stream Processing, we offer you the perfect solution for your real-time data processing and marketing optimisation. Take advantage of our expertise to capture, integrate and analyse data streams quickly, accurately and in accordance with the highest data protection standards to improve the customer experience.

We use advanced technologies such as Azure Stream Analytics to maximise the efficiency of your data processing and strengthen your marketing strategies. This platform supports a variety of data sources and formats, giving you maximum flexibility. Integration with Azure Data Lake Storage and Azure Synapse Analytics makes data analysis seamless and scalable. In addition, powerful tools such as Azure Databricks and Azure Machine Learning for machine learning and data engineering are available to you to gain deeper insights into customer behaviour.

The Azure Stream Processing architecture guarantees high scalability and adaptability with simultaneous security. Benefit from real-time analyses, optimise your marketing measures and improve the customer experience. Rely on our expertise to efficiently manage your real-time data requirements and strengthen your customer relationships.

GLOBAL GROUP, a private equity backed B2B insurance company experiencing rapid inorganic growth, was faced with the challenge of integrating data from various acquired companies into a central data warehouse and making it available for analysis. Our goal was to centralize data sources, ensure data quality, and establish an efficient reporting system. Highlights included

• Implementation of Azure and Azure Data Factory: Integration of heterogeneous data sources from the acquired companies into a central data warehouse using customized ETL processes to create a unified database.

• Historization and hashing process: Ensured data consistency and traceability by versioning and comparing records using hashes.

• Power BI Reporting: Developed interactive dashboards that enabled finance and operations to make informed decisions based on current data.