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The graphic depiction of data is the focus of the interdisciplinary field of data visualization.
OBI Services offers professional data visualization services that transform raw data into clear, insightful visuals for better decision-making.
It is an especially effective method of communication when there is a lot of information, like in a time series.
This representation can be viewed academically as a mapping between the original data, which is typically numerical, and graphic elements (for example, lines or points in a chart).
The mapping establishes how these elements’ characteristics change in accordance with the data. In this sense, a bar chart is a mapping of a bar’s length to a variable’s magnitude.
Mapping is a key skill in data visualization since the graphic design of the mapping can negatively impact a chart’s readability.
Visualization Turns Data Into Power
Use data visualization to your advantage. Let organized visuals guide your business success.
1.Why Data Visualization Matters
Data visualization provides an efficient way to communicate information clearly across all audiences. It helps businesses uncover customer trends, highlight opportunities, and plan smarter strategies based on clear insights.
With strong data presentation, stakeholders better understand what matters most, enabling smarter decisions, effective campaigns, and improved team coordination.
Additional benefits of data visualization:
- Quick access to key insights and faster action;
- Better understanding of what steps to take next;
- Improved focus and clarity for your audience;
- Streamlined communication of insights;
- No need for complex analysis by data scientists; and
- Faster, more accurate business responses.
2. Visualizing Big Data for Clearer Data Presentation
The growing reliance on big data and analytics has increased the demand for effective data presentation strategies. Machine learning technologies enable businesses to gather and sort massive volumes of information, but without clear visual representation, that information can remain inaccessible or hard to interpret.
From pie charts to heat maps, businesses now utilize advanced visualization techniques to turn raw data into digestible formats. These visual tools help stakeholders and decision-makers grasp trends faster and act more confidently.
Presenting large data sets in visual formats also requires powerful computing systems capable of processing and mapping raw inputs into meaningful visuals for faster, more informed decisions.
While visualizing large-scale data brings many benefits, certain challenges persist:
- Experts are often needed to ensure data sets are matched with the best visual formats and tools.
- Visualization projects may require strong infrastructure, reliable storage, or even cloud migration.
- The quality of insight depends on the quality of the data, making governance, structure, and accuracy critical for success.
3. The Science Behind Visual Processing
Understanding how information is gathered and processed by humans is the foundation of visual processing science. Amos Tversky and Daniel Kahneman worked together to develop two distinct approaches to how people collect, interpret, and react to information.
System 1 focuses on fast, instinctive, and automatic mental processes. In everyday life, this system helps with:
- Reading a sign's text;
- Solving simple math like 1 + 1;
- Determining the source of a sound;
- Riding a bicycle; and
- Recognizing color differences.
System 2 engages when more effortful, logical thought is required. It comes into play when:
- Reciting a phone number
- Solving complex equations like 132 × 154;
- Deciphering meaning when signs are placed together; and
- Recognizing nuanced social cues
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