We support our clients on their journey towards a data-driven organisation – data infrastructure is a central element.
Whether SMEs, large companies or public administration, with increasing digitalisation, modern organisations live with and from data. Most organisations are well positioned in the collection of data. However, there is often still great potential in the organisation of the data and the associated gain in knowledge. This potential can be fully exploited through a targeted data infrastructure.
An organisation’s data infrastructure consists of all the necessary components to collect, store, process, manage and protect its data. This includes much more than data assets and the physical infrastructure to store and process data. A data infrastructure also includes cloud resources, business applications, business intelligence and analytics tools, as well as a data strategy, policies and, in particular, staff. The right data infrastructure and the coordinated interaction of its components is a central factor for a successful data-driven digital transformation.
We work according to the principle: “As simple as possible, as complex as necessary”. Most of the time, management wants to analyse the data efficiently and interactively in a dashboard and thus make data-driven decisions. What intermediate steps are necessary in the data infrastructure to realise all the desired possibilities and evaluations?
Depending on the maturity, complexity and ambition of the organisation, the data infrastructure must be as simple as possible, but as complex as necessary. Whether a direct connection to the ERP, the step via a data lake, the construction of a data warehouse (DWH) or even the provision of specific data marts – it is important to evaluate the advantages and disadvantages and efficiently build the appropriate components.
We support organisations as an external partner in setting up, developing, maintaining and exploiting their entire data infrastructure. We always focus on the individual requirements and strategic goals of our clients in order to generate the optimal benefit from their data through customised solutions and client-specific technologies.
In addition to our expertise in data infrastructure projects, we have broad experience in the field of analytics and can apply this knowledge when it comes to setting up a data infrastructure that meets the requirements of current or future analytics needs.
Analysis of the existing infrastructure, prerequisites and needs.
Formulating goals and use cases. Defining a roadmap.
The right choice and correct setup of data storage are central components of a data infrastructure project.
Building ETL pipelines (extract, transform, load). Ensuring and improving data quality.
Guidelines on the availability, usability, integrity and security of data for the efficient use of the data infrastructure.
Based on the data infrastructure, data can be analysed efficiently and reliably with the necessary expertise.
