Graphical representation of data to visualize and understand trends, patterns and outcomes.
Quickly discover areas for improvementIdentification of areas that require attention, facilitation, and improvement is more efficient, supporting faster reaction
More accurate predictionsConnecting factors and their influence on customer behavior for more precise sales volume predictions in time
InsightsProviding business overviews via displaying key insights for stakeholders and decision-makers
Utilize and strategizeSupporting more informed and accurate business decisions, with data utilization it is easier to choose the right next steps of your strategy
How we do it
We carefully balance the form and functions, combine analytics and storytelling, remove unnecessary noise, and highlight the valuable information.
Right data & right visualsThe right visualization needs to be connected to the relevant and valuable data sets. The most convincing graphics are created with, the right type of visualization. There are many combinations of charts, tables, graphs, maps, dashboards, and different colors, etc. If done effectively, they support fast and accurate decision making
Explaining the storyThrough data visualization we promote information communication and help to explain the business story and statistics clearly, thus making them easier to comprehend. It complements the analytics and expands the understanding of the data with statistical or interactive, timely reports and dashboards.
Interactive view across devicesWe construct visualizations that allow you to approximate to smaller details, for example: roll down to one day or even a single minute. The graphs and charts can be displayed on desktop, tablet, or mobile devices and then change interactively to see how the data proceeded
Visual AnalyticsUsing tools such as Power BI, Python, R, or Spark, we create graphical representations of visual analytics as a means to achieving various goals.
Discovering potential defectsVisualization is a great tool to easily detect unusual or extreme values that might potentially be erroneous.
Comparing resultsDeviations of two-time series (e.g. in AB testing results over time for comparison groups).
Overview of developmentsInterleaving two-time series to evaluate how the inputs and outputs of a process have developed relative to each other (e.g. TV analysis IPV versus visits).
Relationships among dataA wide-ranging examination of the relationships of data available - correlations, clustered histograms, etc.
Let your data speak with compelling data visualizations packed with accurate and invaluable information.Contact our team