
How to overcome customer data challenges in Azure Data Lake with a CDP and five strategies for success.
Organizations increasingly aim for a Single Source of Truth (SSOT) with Azure Data Lake. This is understandable, yet it may lead to bottlenecks and challenges. The reason is that creating a complete customer view and making it accessible to employees and applications is more complex than expected.
That’s why they often choose a combination of Data Lake and a Customer Data Platform (CDP). This approach offers flexibility and ensures that the most up-to-date data are always accessible without leaning heavily on scarce IT resources. This is particularly beneficial for departments such as customer care, finance, and marketing.
In this article, we’ll discuss the challenges of moving customer data to Azure and creating a comprehensive customer view. We highlight the possibilities and benefits of a Customer Data Platform, discuss five strategies for working with both software solutions, and share insights to help you effectively use them to achieve significant improvements.
Azure Data Lake is a scalable data storage service available in the Azure Cloud, designed to collect, store, and analyze large amounts of data. It supports storing data in its original format, which means you can apply analyses and machine learning directly to the data without the need to convert or move it first.
Azure Data Lake is often used as a data store, comparable to how FTPS was used in the past, but with increased functionality. It’s frequently linked to a CDP for the exchange of data.
Customer data are often fragmented across diverse systems and sources. They need to be merged and structured to get a complete customer view. However, specialist knowledge is required for collecting, modifying, and loading these data.
Due to the different formats and structures, combining data from various sources and systems is complex. Even though Azure provides tools such as Azure Data Factory, tight planning and execution remain crucial. However, finding specialists for long-term management and maintenance is difficult.
Organizations with large amounts of customer data struggle with scalability. This data requires modern processing, analysis, and storage infrastructure, which leads to rapidly rising storage costs.
The collection and processing of customer data must comply with privacy and regulations, including creating a customer view. However, data in Azure can be fragmented, making adhering to these rules complex. That’s why centralized management and control over these data streams are essential.
Analytic tools and skills are necessary to gain valuable insights from customer data. For this purpose, Azure offers diverse services, such as Azure Synapse Analytics and Azure Machine Learning. Yet, you need to know how they work to use them appropriately.

Thanks to a CDP's possibilities, this platform technology marks the perfect addition to Azure Data Lake. A CDP centralizes, structures, and manages all customer data, enabling you to create a complete 360-degree customer view.

With a Customer Data Platform (CDP), you use your customer data to its maximum potential. We give you 8 reasons why a CDP is essential for understanding, reaching, and serving customers.
A solid plan is paramount for working with Azure Data Lake and a CDP. Start small and expand gradually with a phased approach. It’s also wise to consult expertise outside your organization and look for partners with experience in Azure Data Lake and CDP implementations.
There are multiple helpful strategies to apply both solutions effectively :

Creating a customer view in Azure can be complex due to integrating data sources, processing large amounts of data, privacy limitations, and the necessary expertise. Fortunately, with the correct planning, tools, and expertise, organizations can shape a solid customer view to gain valuable insights and offer personalized experiences.
It’s important to consider what data you store in Azure Data Lake and which processes and tasks you execute via Azure. Maybe there are alternatives available for this. Specifically, a Customer Data Platform (CDP) is a powerful solution for the challenges that come with Azure. A CDP centralizes customer data, simplifies management, and makes it possible to integrate data seamlessly with other systems. Features such as advanced data analysis, direct data linking for marketing campaigns, and user-friendly dashboards make a CDP a fundamental solution for a customer-centric organization.

Learn how our Customer Data Platform bundles all your customer data into one unique customer view. In our no-code platform, you set the rules and learn to manage customer data, with our advice at your disposal when needed.
Contact us today to learn how we can help you optimally apply and use your customer data.