Data Visualization

Every day your business generates more data on sales revenue, marketing performance, customer interactions, inventory levels, production metrics, staffing levels, costs, and other KPIs. But with so much data to sift through, it can be difficult for people to see the story it tells.

Data visualization helps you turn all that granular data into easily understood, visually compelling—and useful—business information. By tapping into external data sources, today’s data visualization tools don’t simply let you see your KPIs more clearly, they unify data and apply AI-driven analytics to reveal relationships between your KPIs, the market, and the world.

Identify areas that need attention or improvement.

Clarify which factors influence customer behavior.

Help you understand which products to place where.

Predict sales volumes.

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Data Visualization in Today’s World

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Midsized businesses getting started in data visualization

With tighter budgets and limited IT resources, many midsize companies aren’t sure where to begin when it comes to getting the most from their big data.

This white paper provides tips on how to get results from data analysis and visualization.

Techniques for data visualization

A picture is worth a thousand words – especially when you’re trying to find relationships and understand your data, which could include thousands or even millions of variables.

This white paper provides some basic tips and techniques for creating meaningful visuals of your data.

How data visualization can supersize results

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. 

capabilities

Data visualization is going to change the way our analysts work with data. They’re going to be expected to respond to issues more rapidly. And they’ll need to be able to dig for more insights – look at data differently, more imaginatively. Data visualization will promote that creative data exploration.

Regardless of industry or size, all types of businesses are using data visualization to help make sense of their data. Here’s how.

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. And since it’s significantly faster to analyze information in graphical format (as opposed to analyzing information in spreadsheets), businesses can address problems or answer questions in a more timely manner

Even extensive amounts of complicated data start to make sense when presented graphically; businesses can recognize parameters that are highly correlated. Some of the correlations will be obvious, but others won’t. 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. It’s easy to spot outliers that affect product quality or customer churn, and address issues before they become bigger problems.

Once a business has uncovered new insights from visual analytics, the next step is to communicate those insights to others. Using charts, graphs or other visually impactful representations of data is important in this step because it’s engaging and gets the message across quickly.

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Data visualization in action

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.

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Global Data Visualization

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