Transforming Business with Data Visualization Effectively| Infographic
- 1. TRANSFORMING BUSINESS WITH DATA VISUALIZATION EFFECTIVELY THE GREATEST VALUE OF A PICTURE IS WHEN IT FORCES US TO NOTICE WHAT WE NEVER EXPECTED TO SEE. This quote by John Tukey (renowned American Mathematician) states all on why Data Visualization can transform presentation and reveal insights that could possibly change the world DATA VISUALIZATION WHY IS DATA VISUALIZATION IMPORTANT? Data Visualization is an important process in the data science lifecycle that transforms data into easy-to-understand visuals like charts and graphs for easier Understanding and Communication. Data visualization has a huge role to play in the data-driven decision-making process, and it is very important because- It simplifies Complex Data and makes it easier to understand Supports Data-driven Decisions with clear visual insights Clear visuals can reveal Trends and Outliers that might go unnoticed in raw data Makes communication easier and concise with even non-technical stakeholders BENEFITS OF EFFECTIVE DATA VISUALIZATION WIDELY-USED DATA VISUALIZATION TECHNIQUES An effective visualization can benefit organizations in several ways, such as: Some common and widely-used data visualization techniques include: LINE GRAPHS BAR CHARTS SCATTER PLOTS HEAT MAPS PIE CHARTS STEPS FOR EFFECTIVE DATA VISUALIZATION Identify what your data set tells Consider your audience and data points Craft a compelling and engaging storyline Choose the right charts and graphs to present insights When insights are presented with effective data visualization and a storyline, they can transform decision-making and business. LEARN HOW TO CREATE A VISUALLY APPEALING AND ENGAGING DATA VISUALIZATION WITH THE BEST DATA SCIENCE CERTIFICATIONS FROM USDSI® REGISTER TODAY Scatter Plots Bar Charts Pie Charts Heat Maps Histograms Bubble Charts Tree Maps Line Graphs Dashboards © Copyright 2025. United States Data Science Institute (USDSI® ). All Rights Reserved. © Copyright 2025. United States Data Science Institute (USDSI® ). All Rights Reserved. © Copyright 2025. United States Data Science Institute (USDSI® ). All Rights Reserved. © Copyright 2025. United States Data Science Institute (USDSI® ). All Rights Reserved. © Copyright 2025. United States Data Science Institute (USDSI® ). All Rights Reserved. © Copyright 2025. United States Data Science Institute (USDSI ). All Rights Reserved. Helps understand how differ ent data points relate to each other Improves Engagement Enhances Retention Assists with Faster Analysis prices over time Best for depicting trends over time that show changes and patterns in continuous data. Example Used for tracking stock It is used to show the relationships between two numerical variables and is best suited to depict correlations and patterns. Example Relation between advertising spending and sales It is used to compare categorical data and is best for showing differences in quantities between groups. Example Comparing sales figures of different products Pie charts represent a portion of a whole in slices of a circle. They show a share or percentage of the whole. Example Market share in different industries Heatmap uses a color gradient to represent data values in a matrix. It is a great way to visualize patterns in large datasets. Example Performance of a portfolio of stocks