Analytical IT systems make sense of data. Transactional IT systems manipulate data. Both types are changing dramatically with the increasing quantity and complexity of data as new technologies emerge faster than ever.
Historically, nearly all transactional systems were built on relational databases. These still have their place, but today there are a huge number of alternatives: document stores, key-value stores, column databases and graph databases. How do you know which tool to use?
Analytical systems are evolving in similar ways. Previous best practices, such as traditional data warehouses and star schemas, are still widely used but it is also clear that they do not scale to all Big Data use cases.
This diversity makes it more and more difficult to design manageable and performant information architectures and backend systems that support them. Susten Solutions can help you navigate this chaos. Let us assist you in designing and implementing the data-intensive IT systems that run your core processes.
Crunching numbers is important, but in order to make sense of the results you also need compelling and intuitive ways to visualize your data. The increased quantity of data has made it more challenging to build these visualizations, but at the same time more necessary.
Data visualizations and dashboards are a natural part of analytical IT systems and a multitude of business intelligence platforms and smaller libraries are available for this purpose. However, sometimes only a completely customized solution can meet all of your diverse requirements.
A well-thought-out visualization helps you see your data in new ways and is often the key to explaining it to your stakeholders.
Custom Software Development
The services we offer draw on a solid foundation in custom software development. Our way of working is based on agile development methodologies and continuous learning.
We have experience working with a broad range of customers in the finance, factory automation and health-tech sectors. The key technologies we've been using in our past projects include Java, Scala, Python, C++, PostgreSQL, MongoDB, CosmosDB, Kafka, Spark, Azure, OpenStack, Docker and Ansible.
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