Big Data Visualization

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The Importance of Virtualization to Big Data

Solving big data challenges requires the management of large volumes of highly distributed data stores along with the use of compute- and data-intensive applications. Virtualization provides the added [more…]

Top 10 Blunders to Avoid When Creating Data Visualizations

Creating data visualizations can be exciting — and a reflection of your business skills. Avoid these common blunders so that the path to good data visualizations is less slippery for you. [more…]

10 Unbreakable Rules for Using Text in a Data Visualization

In the world of data visualization, there are some basic, unbreakable rules for using text that will enhance and clarify the graphics in your data viz. Always keep the following rules in mind as you create [more…]

Data Visualization: Use a Business Intelligence Dashboard Formula Blueprint

When you're building a data visualization, it helps to have a blueprint to follow as you gather information and begin your design. A Business Intelligence Dashboard Formula [more…]

Evaluating Data Visualizations

Data visualizations can be very colorful and impressive. But remember that the key to creating effective data visualizations doesn't hinge on whether it's exciting, but rather on whether it uncovers the [more…]

What is Data Visualization?

Here's a simple definition of data visualization: It's the study of how to represent data by using a visual or artistic approach rather than the traditional reporting method. [more…]

What Makes Good Data Visualization?

Good data visualizations come in all shapes and sizes, but all of them have certain traits that help ensure you produce something with important insights. The following table shows the key items: [more…]

Data Visualization: Picking the Right Content Type

When you're creating a data visualization to tell the story of your data, you can use many content types other than text and numbers. The key is to select visuals that are not only attractive, but also [more…]

Benefits of Interactive Data Visualizations

Some companies choose to ignore the growing stacks of data and continue to rely on standard methods like spreadsheets that offer little customer insight. Others take a leap and bring in software that helps [more…]

Guidelines for Using Infographics

Infographics have gained great favor of late. If done well, they can illuminate a problem and tell an interesting story. Infographics use design rules to artfully display text, numbers, metaphors, and [more…]

Examining Different Types of Infographics

Infographics have generated great interest on the Internet because of their ability to entertain as well as enlighten. Several types of infographics are currently popular. The following list can help you [more…]

5 Online Infographic Tools

If you want to try your hand at infographics, lots of great online tools are available. Many of them supply graphic and design templates that simplify things for do-it-yourselfers. [more…]

Defining Big Data

Suddenly, everyone is talking about the presence of Big Data and its impact. Hasn't there always been a steady stream of data that companies can employ? What makes the data so [more…]

Using Big Data to Understand Customers

With Big Data, you can become customer-centric in ways you never could before. You can go beyond transactional reports about customer buying habits and drill down to customer sentiment and motivation. [more…]

Challenges of Big Data

You can probably see the value Big Data brings to any organization that makes an effort to use it. You get not only productivity gains, but also faster insight into your problems. However, anyone who spends [more…]

Collecting Structured and Unstructured Data

Data collected in the past was structured and could fit into neat rows and columns. An example of this would be an Excel spreadsheet with delimited data [more…]

Ensuring the Use of Quality Data

The quality of your data, not your choice of tool, determines the value of your visualization. In a 2013 article in the Harvard Business Review titled [more…]

Choosing Tools for Data Visualization

When creating data visualizations, the most important thing to focus on is data preparation, not tools. That said, it's easy to be distracted by the variety of tools that are available for creating visualization [more…]

Data Visualization: Charts for Beginners

When you're new to a subject, you seek guidelines that help you master the content. Creating charts is no exception. The purpose of a chart is to package information in a way that makes it quickly understandable [more…]

Data Visualization: Choosing Simple and Effective Charts

Although you have many chart types to choose among when presenting data, it's good to start with some of the simple and most commonly used charts for the most chance for success: bar and column charts, [more…]

Using Gauges and Scorecards to Monitor Data

Do you always need to create a chart for your data? The answer is "Not always." You can use other devices instead, such as a gauge or scorecard. People are familiar with gauges because we use them in everyday [more…]

Data Visualization: Using Less-Common Charts

When you're trying to find visually appealing charts to display your data, it's important to keep in mind that the ultimate goal of any data visualization is to take a huge data set and display intelligence [more…]

Rules for Adding Text to Your Data Visualization

Adding any form of text to data visualizations may seem to be counterintuitive, but with the right application, text can be a powerful addition to any data visualization. Before you go crazy adding text [more…]

Adding Text Labeling to Data Visualizations

One of the quickest ways to apply text to any data visualization is to add labels. Labels describe what the user is seeing. They're easy to use, easy to read, and easy to apply. [more…]

Tips for Text Positioning on Data Visualizations

You may have heard the saying "It's all about where you place it," which could not be truer when it comes to adding text to data visualizations. Wrongly placed text can lead to misinterpretation of the [more…]

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