By presenting significant content in a graphical context, data and information can be better analysed and understood. Undiscovered patterns, trends and relationships in text-based data can be highlighted with data visualisation 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 visualisation are more efficient and of higher quality - just as much for processes as for organisations within the company.
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Data visualisation with Qlik
Effective use of information potential, with data visualisation
For data-based companies, the increasing digitalisation of the world is a major challenge. As the amount of data increases, so does the speed of data exchange. At the same time, in an increasingly dynamic market ever-faster decisions are required. To be equal to this, the information from the data for the organisational managers must be presented unambiguously and transparently . Even if data is of good enough quality, the validity of the information can be minimised by limited visualisation. Many companies are familiar with this problem:
For ready access to meaningful and reliable information at al times, effective data visualisation is required. Selection of the appropriate tools depends on company organisation, its processes and the nature and use of the data.
Data visualisation for a clear view of big data
Data visualisation in times of big data has to fulfil 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 visualisation solutions go further. They ensure that the heterogeneous data pool is used systematically and according to its dynamics.
From these sources, the visualisation tools generate, for example,
Bar, pie and temperature curves
The choice of graphics depends on the habits of users, such as the management. In addition to the standard graphics of the past, the graphics of current visualisation tools can be individually adapted to the reading habits of users.
Interactive data visualisation
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 visualisation solution, indicators can also be included to notify users. For example, when updating data or when of predefined conditions occur.
Identifying data quality, thanks to data visualisation
When companies opt for integrated data visualisation for their business intelligence solution, they are also opting for something more than visually advantageous data representation: success.
All this, just by using effective, systematic and sophisticated visualisation, which perfectly reflects the quality of the data used.