Technology Consulting & Infrastructure Development
Which architecture, which tools and which structures fit our requirements? Whether cloud, hybrid or on-premise – we advise you on the selection of suitable technologies and support you in setting up scalable data architectures. We take into account existing processes, systems, budgets, data protection requirements and your future goals. Our aim is to develop solutions that adapt flexibly to new requirements and remain sustainable in the long term.
Connection and Integration of Data Sources
How do we network our data from different systems efficiently and securely? We integrate your data from internal and external sources – from ERP and CRM systems, web tracking and APIs to flat files or IoT (Internet of Things) data. This creates a reliable, central database for all departments. We pay attention to a scalable architecture and develop interface solutions that can also connect future sources easily and flexibly.
Data Preparation & Quality Management
How do we achieve our vision of ensuring that our most important company data is correct, complete and tailored to stakeholders? We cleanse raw data, harmonize different data formats and continuously monitor data quality. This includes data strategy, validation rules, plausibility checks and measures for data security and data protection – so that your analyses are based on a solid foundation. In this way, sources of error are identified at an early stage and data sets are permanently reliable.
Automation & Monitoring of Data Processes
How do we reduce manual effort in data work and identify problems at an early stage? We automate the extraction, transformation and provision of your data. We also set up monitoring mechanisms that make anomalies immediately visible. This ensures that your data streams remain stable in the long term and your teams can rely on them and concentrate on the content. With a high-performance alerting system, you are informed of irregularities at an early stage and can react to them in good time.
Data Provision for Analytics & Reporting
How do we ensure that all departments can access the data relevant to them? With smart data engineering, we prepare your data so that it can be used efficiently for BI tools, data science projects and individual analyses – whether in the data warehouse, in the data lake or via APIs. This allows you to create the right reports for the right people quickly, securely and flexibly. With well thought-out role concepts, we design the data models in such a way that your specialist departments can access and work with the data independently.
Trainings: Data Engineering
In our practice-oriented training courses at the Hopmann Academy, we teach the basics and best practices for setting up stable data infrastructures – from connecting sources and developing high-performance data models to automation with modern tools. One focus is on the conception, planning and implementation of marketing data stacks / data warehouses as well as efficient work with dbt (data build tool) for the transformation and modeling of data. The training courses are tailored to your needs and take place either in your office, at our training center in Munich or Schliersee or online.
Experience Workshop: Snowflake vs. Databricks
In our compact experience workshop, we compare two leading platforms for modern data engineering and analytics – hands-on and based on your real use cases. Together, we will shed light on differences in architecture, scalability, costs, integration and operational use. The workshop is aimed at decision-makers in IT, BI and other specialist areas – with the aim of creating a sound basis for the tool decision.
Audit: Data Quality
As part of our data quality audit, we check the quality of your data based on jointly defined, relevant criteria: e.g. completeness, consistency, up-to-dateness, relevance, data protection and security. At the same time, we analyze your existing infrastructure: Are the structure, automation and access options suitable for your requirements in finance, HR, logistics, controlling, purchasing or marketing? You will receive a structured assessment including specific recommendations for action to optimize your database. In the next step, we also offer to implement these optimizations together with you.
“This project is a great example of the potential that can be tapped into thanks to our many years of expertise in the financial sector. Although the initial focus was only on digital analytics, we saw the potential for the client and advised them on an eye-to-eye basis. They now have a modern data-driven marketing framework in place that provides them with the best possible support to achieve their goals – with sustainable, measurable success.”
Jörg Hopmann, CEO
Hopmann Marketing Analytics