In a world powered by big data, it can be easy to get lost in the endless stream of information that informs corporate decisions. Data visualization experts cut through the noise, helping employees of all backgrounds understand the latest trends in their industry and how to prepare their companies for the future.
Graduates of the William Paterson University (WP) online Bachelor of Science (BS) in Applied Business Analytics (ABA) program develop critical skills in analytics data visualization and position themselves as valuable assets in an increasingly data-centric business environment. They emerge as proficient data storytellers, capable of using visual elements to communicate insights and influence strategic decisions.
What Is Data Visualization?
Data visualization (DV) is the graphical representation of information and data, transforming complex datasets into intuitive visuals such as charts, graphs and maps, according to TechTarget. This practice allows businesses and organizations to interpret vast amounts of data quickly, identifying trends, outliers and patterns that may otherwise be difficult to detect. By making data more accessible and digestible, data visualization facilitates informed decision-making and strategic planning.
There are numerous types of data visualization — each serving different purposes depending on the nature of the data and the story it tells, according to IBM. Students and corporate leaders alike are familiar with many common data visualization styles. Bar charts are ideal for comparing categorical data, such as sales figures across different regions. Line graphs can help people understand trends over time, like stock prices or revenue growth.
Pie charts illustrate percentages, while heat maps can use color gradients to show the number of customers in a certain region or the most popular search terms across different areas of the country. Rising business leaders also use dashboards that combine multiple visual elements into a single user interface for real-time monitoring. Understanding the different types of data visualization enables professionals to choose the best approach to communicate insights effectively.
Several data visualization tools are open source, or available for anyone to use. IBM points to D3.js, a front-end JavaScript library that can create dynamic and interactive visualizations — including animations — that individuals can view on any web browser. Many tools are free to try out, including the data visualization platform Tableau. The software is known for its interactive dashboards and capability of transforming raw data into graphs and charts of trends that can inform short-term and big-picture goals.
Why Is Data Visualization Important?
In today’s data-driven business landscape, the ability to analyze and present data effectively is a crucial skill. However, many companies underestimate its importance as well as the difficulty of creating effective data visualizations. While rising business leaders should learn the latest machine learning algorithms and statistical analysis techniques, they must also learn how to translate their findings into presentations that any professional can understand.
In turn, business analysts must blend graphic design, data science and storytelling to communicate their conclusions to not only their bosses but also broader audiences of investors and customers. Data visualization software company Tableau puts it simply: Great data visualizations have the power to get everyone on the same page, regardless of their level of familiarity with the data science behind the graphs and charts. Business intelligence and data visualization provide actionable insights that empower companies to optimize operations, improve customer experiences and drive profitability.
Professionals who specialize in data analytics and visualization have a skill set that applies to a variety of sectors where turnaround times are fast and company leaders expect employees to respond to customer behavior and trends, according to Investopedia. Those industries include travel and hospitality, healthcare and retail. Each sector values using large amounts of structured and unstructured data to make decisions that benefit the whole population being served. Visualizations can make it easier for all workers to understand why those decisions are made.
Master Data Visualization Techniques With William Paterson University
Students in WP’s online BS in ABA program have the skills necessary to harness the power of data visualization in business intelligence and analytics. One key course in the program, Data Visualization, provides an overview of the practice, exploring various forms and applications.
Students in the degree program have the opportunity to explore tools like Tableau, Python, R statistical software, SAAS, Amazon Web Services and Qualtrics. Through coursework and hands-on experience, WP graduates are ready to take on fulfilling careers across industry sectors and provide solutions powered by data analytics.
Learn more about William Paterson University’s online Bachelor of Science in Applied Business Analytics program.
