Why visualization

For example, how can they use big data to improve customer relationships? How — and to what extent — should they invest in big data? Because of the way the human brain processes information, using charts or graphs to visualize large amounts of complex data is easier than poring over spreadsheets or reports.

Data visualization is a quick, easy way to convey concepts in a universal manner — and you can experiment with different scenarios by making slight adjustments. Read white paper. This white paper provides some basic tips and techniques for creating meaningful visuals of your data. Explore techniques. We profiled six organizations that are using self-service visual exploration to make big improvements in the way they work — no matter the size of their organizations.

Read ebook. Learn more. Regardless of industry or size, all types of businesses are using data visualization to help make sense of their data. By using graphical representations of business information, businesses are able to see large amounts of data in clear, cohesive ways — and draw conclusions from that information. Even extensive amounts of complicated data start to make sense when presented graphically; businesses can recognize parameters that are highly correlated.

Identifying those relationships helps organizations focus on areas most likely to influence their most important goals. Using data visualization to discover trends — both in the business and in the market — can give businesses an edge over the competition, and ultimately affect the bottom line. Once a business has uncovered new insights from visual analytics, the next step is to communicate those insights to others. While it may be easy to grasp the concept that data visualization helps you make sense of large amounts of data, it's not as easy to understand what happens next.

What type of technology do you need, and how do you use it? This practical video gives you an overview of SAS Visual Analytics and SAS Visual Statistics, demonstrating how it's possible to explore billions of rows of data in seconds, using different configurations.

SAS technology helps you prepare data, create reports and graphs, discover new insights and share those visualizations with others via the Web, PDFs or mobile devices.

Before implementing new technology, there are some steps you need to take. First, you want to make sure you have a clean and complete set of data to work with. If there are holes in your numbers, they will be reflected in your visualization.

Sometimes a simple graph is the most effective, whereas other times a more complex visualization is needed to get the job done. The data and the visual need to work together to tell a story. We are an inherently visual world, where images speak louder than words. Data visualization is especially important when it comes to big data and data analyzation projects. Nowadays more and more companies are using machine learning to collect mass amounts of data. The results from complex algorithms are much easier to understand in a visual format as opposed to lines and lines of text and numbers.

The better you can convey your points visually, the better you can leverage that information. Creating SEO visualizations will not only make the data more accessible to you and your stakeholders, but it will also save you time and make it easier to identify trends in the optimization process.

According to Sisense :. Whether it is a sales report or a marketing strategy, a visual representation of data helps companies increase their profits through better analysis and better business decisions. Humans process visuals better than any tedious tabular forms or reports. If the data communicates well, decision-makers can quickly take action based on the new data insights, accelerating decision-making, and business growth simultaneously. Data visualization allows business users to gain insight into their vast amounts of data.

It benefits them to recognize new patterns and errors in the data. Making sense of these patterns helps the users pay attention to areas that indicate red flags or progress. This process, in turn, drives the business ahead. The purpose of data visualization is pretty clear. That said, data is complicated, and it gains more value as and when it gets visualized.

Without visualization, it is challenging to quickly communicate the data findings and identify patterns to pull insights and interact with the data seamlessly.

Data scientists can find patterns or errors without visualization. However, it is crucial to communicate data findings and identify critical information from them. And for this, interactive data visualization tools make all the difference. A relevant and recent example is the ongoing pandemic. Yes, data scientists can look into the data and gain insights.

But data visualization is assisting experts in staying informed and calm with such an abundance of data. Data visualization has the potential to solve many business issues. All businesses must incorporate data visualization tools and reap transformative benefits in their critical areas of operations. Effective Data Visualization is the key to unlock Big Data. It can solve any data inefficiencies and easily and instantly absorb vast amounts of data presented in visual formats.

By enabling users to understand data rapidly, visualization can quickly increase the speed of decision making as well. Any business must make fast decisions and not get bogged down by inefficiencies. Timely actions result in averting any losses and benefit from any market condition. It is critical to know what is causing increased losses or what is required to maximize gains. Companies can utilize visualization to access real-time information and assist in management functions in a significant manner.

Decision-makers can benefit from on-demand data and use visualization to increase the effectiveness of operations and improve productivity. It promotes storytelling in the most compelling way. Visuals are used in the most meaningful way to convey the right message to the audience. Data visualization assists in exploring business insights to achieve business goals in the right direction.

It helps to correlate the data from the visual representations or graphical representations. It allows for fast analysis and instantly digests critical metrics. It enables enterprises to stay on top of their game by discovering the latest trends through data visualization tools. Without data visualization, businesses would have to spend tons of their time customizing reports and modifying dashboards, replying to ad hoc requests, etc.