Slideshows

Top 15 Data Visualization Tips

Doug Henschen January 03, 2011 06:00 AM "Excellence in statistical graphics consists of complex ideas communicated with clarity, precision and efficiency," writes information visualization guru and author Edward R. Tufte. Preaching simplicity and offering practical advice, expert Stephen Few decries distorted 3D pie charts and graphics that are too hard to read. This image gallery offers best-practice examples, advice, free resources and insight from experts on the best of data and information visualization. If a picture is worth 1,000 words, then clear and effective data visualizations are worth more than a stack of spreadsheets or reams of reports. Learn from the New York Times, Gapminder, Zillow, Many Eyes, Google, Wordle and other successful practitioners of advanced data visualization.

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Data Visualization Software Is Free... For One Year

Tibco bills Tibco Silver Spotfire as a cloud-based BI and data visualization offering, but it all starts with conventional software. You can download and use the company's desktop authoring client (shown here) for one year at no charge. When you're ready to share visualizations with others, you publish them to Tibco's hosted collaboration environment. Fee-based hosting services are available once the trial period is over.

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By The Numbers

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?

SaS

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.