Data & analytics
The topic of ‘data’ is currently becoming the focus of more and more discussions as the challenges for companies when dealing with data have risen enormously in recent years. Increasing competitive pressure, constantly changing regulatory requirements and developments in the field of AI mean higher demands on the usability, quality and timeliness of business data.
Data management
Stückmann offers you expertise
in the following subject areas
Services Analytics
Valuable insights
The ability to effectively evaluate and use data is essential for the success of your company. Intuitive dashboards offer you valuable insights into your company and underlying business processes, enabling well-founded decisions and helping to optimise your business strategy. In addition to analysing traditional financial indicators, we offer a wide range of more in-depth analyses.
We are happy to assist you in tapping the full potential of your data and offer comprehensive advisory services that are tailored to your needs and goals.
Our services
Our services include, among others, data integration, analysis and interpretation of the results. Practical examples include topics such as profitability, cost savings, sales potential, competition, customer structure and internal processes. Feel free to share your ideas with us and we will work with you to develop an implementation plan.
Our focus is on using state-of-the-art tools and methods to consolidate and analyse data from various sources. These include modern tools such as Microsoft Power BI. Some of our services comprise:
- Automated DATEV law firm controlling
- Support and training during the introduction of Power BI as a reporting platform
- Individual evaluations based on your requirements
- Support in creating targeted key performance indicator concepts
Services Data quality
High data quality
High data quality is a prerequisite for gaining knowledge from data in your company and can have a significant impact on the success of your company. It ensures that decisions are made based on correct information. Transparency regarding the current status is the essential basis for all further measures. Data quality can be measured on the basis of various quality dimensions such as completeness, correctness, consistency and timeliness.
In practice, data quality problems are often only noticed indirectly. Examples include:
- High manual effort required for report generation
- Loss of revenue due to missed business opportunities
- Incorrect results when using AI solutions
The reasons for these problems are often complex but can frequently be traced back to the following causes:
- Lack of prioritisation of data quality by those responsible for the process
- Outdated and poorly coordinated systems
- Multiple data storage
Our services
We are happy to support you in determining and evaluating your current data quality level and advise you on how to improve your data quality in the long term based on quality criteria tailored to your company. Our focus is on solutions that are easy to implement. There is often concern that introducing professional data quality management means incurring high software costs and lengthy implementation projects. We believe in starting with the software you already have and taking the first step towards professional data quality management.
- Implementation of reports for measuring and monitoring data quality
- Support with the process analysis of data quality issues
- Support with defining and establishing robust business processes
