Data Visualization

Data visualization involves the graphical representation of large amounts of data and information, using graphs, charts, dashboards, and animations, with the primary goal of making complex data understandable and reducing complexity.

By presenting significant content in a graphical context, data and information can be better analyzed and understood. Undiscovered patterns, trends, and relationships in text-based data can be highlighted with data visualization and thus become interpretable. The visual presentation of information helps to identify problems, coordinate plans accurately, and make forecasts. Business decisions based on findings from clear data visualization are more efficient and of higher quality - just as much for processes as for organizations within the company.

Data visualization with Qlik

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Data Visualisation 2

Effective use of information potential, with data visualization

For data-based companies, the increasing digitalization of the world is a major challenge. As the amount of data increases, so does the speed of data exchange. At the same time, ever-faster decisions are required in an increasingly dynamic market. To be equal to this, the information from the data for the organizational managers must be presented unambiguously and transparently. Even if data is of good enough quality, the validity of the information can be minimized by limited visualization. Many companies are familiar with this problem:

  • Inadequate visualizations confuse and give false impressions.

  • Decision-makers may therefore often not notice the most decisive factor.

  • Developments, trends, patterns or discrepancies remain undetected.

  • Relevant risks and opportunities for the company are overlooked.

For ready access to meaningful and reliable information at all times, effective data visualization is required. Selection of the appropriate tools depends on the company organisation, its processes, and the nature and use of the data.

Data visualization for a clear view of big data

Data visualization in times of big data has to fulfill complex requirements. The variety of data sources and formats, the amount of data, or the high speed of data creation must be taken into account when selecting the method. For these, standard reports or Excel solutions soon come up against their limitations. Modern visualization solutions go further. They ensure that the heterogeneous data pool is used systematically and according to its dynamics.


From these sources, the visualization tools generate, for example,

  • Information graphics

  • Scales

  • Geographical maps

  • Spark lines

  • Heat maps

  • Bar, pie and temperature curves

The choice of graphics depends on users' habits, such as the management. In addition to the standard graphics of the past, the graphics of current visualization tools can be individually adapted to the reading habits of users.

Data Visualisation 2

Interactive data visualization

Interactive functions can be integrated into the chosen forms of representation, if required.  This allows users to edit or access the underlying data. This enables the creation of custom queries and analyses. Depending on the chosen data visualization solution, indicators can also be included to notify users. For example, when updating data or when predefined conditions occur.

Identifying data quality, thanks to data visualization

When companies opt for integrated data visualization for their business intelligence solution, they are also opting for something more than visually advantageous data representation: success.

  • They increase the effectiveness of their organisation.

  • They improve the quality of decisions.

  • They allow for better strategic planning.

All this, just by using effective, systematic and sophisticated visualization, which perfectly reflects the quality of the data used.

When does data visualization make sense?

  • When the data visualization in the company is not meaningful.

  • When the potential of the available data has not yet been exhausted.

  • When consistent is required for business decisions.

  • When effective analytic options have not yet been used.

  • When particularly SMEs want to better understand their data

Our offer

We support discerning SME clients, using innovative business intelligence solutions, to find sound answers to business-related issues and so make the right decisions for safe and reliable company management.

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