Our clients
Informatik helps companies delivering expert solutions, staffing and training,
with deep expertise in Microsoft Azure and Databricks Technologies.
Informatik Data Solutions is your trusted partner for seamless cloud migration and beyond. Our seasoned experts handle every aspect of the migration process, from meticulous planning to precise execution. With a proven track record of success, we excel at guiding businesses through the transition to the cloud.
However, our expertise extends far beyond migration. We offer a comprehensive suite of solutions, including data management, AI consulting, customer analytics, and more, tailored to meet your specific needs. By entrusting us with your migration, you'll unlock the benefits of enhanced flexibility and cost savings inherent in cloud computing.
Our team works daily, and will respond to your messages anytime!
Ask us anything and we will get on it!.
Seamlessly transition your infrastructure and applications to the cloud for improved scalability, flexibility, and cost-effectiveness.
Efficiently organize, store, and access your data to ensure its accuracy, security, and availability for informed decision-making.
Leverage artificial intelligence to unlock valuable insights, automate processes, and drive innovation in your organization.
Tap into our expertise to develop data-driven strategies, implement analytics solutions, and drive business value.
Utilize data-driven insights to improve patient outcomes, operational efficiency, and cost-effectiveness in healthcare delivery.
Harness data to understand market dynamics, consumer trends, and operational performance to drive strategic decisions and maximize profitability.
Analyze customer interactions across various touchpoints to optimize experiences, increase retention, and drive growth.
Gain deep insights into customer behavior, preferences, and trends to enhance engagement, loyalty, and satisfaction.
Design and implement robust data pipelines and architectures to collect, process, and analyze data efficiently at scale.
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