What is data analytics and visualisation?
Data analytics involves converting raw data into visual representations. It simplifies the complex by presenting it in a clear, captivating, and insightful manner.
Examples of data visualization could include:
- Tables
- Graphs
- Maps
- Infographics
- Dashboards
- Gantt charts
- Heat maps
- Timelines
- Word clouds
Data visualization can frequently involve arduous manual procedures utilizing spreadsheets. However, it doesn't necessarily have to be this way. Our data visualization software comes equipped with an array of tools that seamlessly integrate with your data warehouse to produce visualizations either automatically or with just a few mouse clicks.
Why are data analytics tools important?
Humans have an inherent inclination towards visual information. Of our five primary senses, our brain assigns the most processing capacity, approximately 30%, to vision. By contrast, touch and hearing receive significantly less, at around 8% and 3%, respectively.
According to one research study, presentations incorporated with visuals were deemed to be 43% more convincing than those that relied solely on text. The addition of visual elements led to perceptions of the presentation being more succinct, clear, data-supported, professional, persuasive, and engaging
Therefore, conveying your data visually, in a compelling and straightforward manner is of significant importance. Our data analytics software enables you to:
- Uncover insights and opportunities that were previously locked away
- Turn abstract data into actionable insights, and communicate using the power of storytelling
- Easily analyse past results through visual trends, anomalies and patterns
- See into the future using data modelling projections, allowing the setting of realistic targets
- Stop manually creating reports out of Excel – get automated, real time reporting for agile decision making
- Reduce errors by removing noise and focusing on KPIs
- Make confident decisions backed up by data, and eliminate risky ‘gut-feel’ decision making