Relipoint - Data Visualization Clear & Insightful Reports

Data visualization

Data visualization involves transforming raw information, such as system logs, performance metrics or analysis results, into clear and interactive graphical forms. The goal of this process is to make large and complex data sets easier to understand and to enable quick conclusions about the performance of systems, applications or business processes. In practice, data visualization involves presenting key indicators in the form of line charts, bar charts, pie charts, heat maps or tables that allow quick recognition of trends, anomalies and relationships in the data

The right
choice

Choosing the right type of chart or diagram is the basis for clear presentation of data. Depending on the nature and structure of the data, we choose the appropriate type of data presentation. The right type of visualization allows you to better convey relationships, trends or distributions of values and makes it easier for the audience to quickly understand the message

Visualization
clarity

Visualization as clear as possible, without unnecessary embellishments and excess information. Adopting best practices, we reduce the number of colors, lines, or graphic elements to the necessary minimum, so as not to distract the user. We prepare a simple and orderly graphic layout, which allows you to focus on the most important aspects of the presented data

Defining
context

Each visualization should be clearly described according to users’ requirements, including any annotations. We rely on an appropriate selection of elements that allows the recipient to better understand what the presented data are about, what their sources are and what conclusions can be drawn from them.

Active
discovery

We prepare interactive elements, such as filters, fragmenters, drill-down capabilities or dynamic changes in the scope of the presented data. Interactivity allows users to explore information on their own, customize views and find relationships or anomalies of interest more quickly

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