Streamlined Cockpits and Reporting – Beyond Your Annual Reports
With years of expertise in the field of data visualization and analysis, we can offer support in the development of reporting systems, including business sector analysis and special topics such as dashboards, cockpits, and M&A data preparation.
Additionally, we can assist in the analysis of revenue potential, cost optimization, and process optimization for increased ROI.
Our MIS specializations include
- TIPHCe (a top interactive BI for Healthcare in DACH),
- Jedox,
- QlikSense,
- Tableau, and
- Power BI.
For visualization in Python, our team uses the most popular tools such as
- Matplotlib,
- Plotly, Seaborn,
- GGplot,
- Altair,
- Pygal,
- Bokey,
- Geoplotlib,
- Voilà, and
- Tensor Flow.
Let us help you streamline and optimize your data analysis and reporting.
A short introduction to analytics and visualisation
Data analytics and data visualization
Data analytics and data visualization are two closely related fields that are used to analyze and interpret data. Data analytics refers to the process of analyzing data to extract insights and support decision-making. It involves using statistical methods, data mining, machine learning algorithms and other tools to uncover patterns and relationships in data. Data visualization, on the other hand, refers to the representation of data in a graphical format to help people understand and interpret data more effectively.
Data visualization is an important aspect of data analytics because it helps to present complex data in a way that is easy to understand. This can help decision-makers to identify trends, patterns and relationships that would be difficult to see if the data was presented in tabular format. Visualization also allows for more effective communication of data insights, as it makes it easier for people to understand the data and the insights that can be drawn from it.
Reporting and Key Performance Indicators (KPIs)
Reporting and Key Performance Indicators (KPIs) are important components of data analytics and visualization. Reports are used to present the results of data analysis, and they can be used to present data insights in a clear and concise format. KPIs are specific metrics that are used to track and measure the performance of a particular aspect of a business or organization. KPIs can be used to track things like sales, customer satisfaction, website traffic, or employee performance.
Interactive reports take reporting to the next level
Interactive reports take reporting to the next level by allowing users to interact with the data. These reports provide users with the ability to explore data and uncover insights that would be difficult to see in a static report. Interactive reports are particularly useful for decision-makers who need to dive into the details of the data to understand specific trends or relationships. They also allow for more effective collaboration, as multiple users can interact with the same data at the same time.
In conclusion, data analytics, data visualization, reporting and KPIs are all important components of the data-driven decision-making process.
They help decision-makers to analyze data, draw insights and present data in a way that is easy to understand. Interactive reports provide a level of interactivity that allows users to explore data and uncover insights in a way that is not possible with a static report.
