What You Need to Know Now About Data Visualization
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What You Need to Know Now About Data Visualization

We’ve all heard that Big Data is the future. But according to Phil Simon’s new book The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions, that may not be quite right. Big Data is a powerful discovery tool for companies seeking to glean new insights. But without the right framework for understanding it, much of that knowledge may go unrecognized. Oftentimes, it’s data visualization that allows Big Data to unleash its true impact.

The Visual Organization is fundamentally about how progressive organizations today are using a wide array of data visualization (dataviz) tools to ask better questions of their data – and make better business decisions,” says Simon, citing the example of companies such as Amazon,Apple, Facebook, Google, Twitter, and Netflix, among others.

Of course, many companies have long been using rudimentary dataviz tools, such as a Microsoft Excel graph or chart, he notes. “But that’s unlikely to promote true data discovery.” On the contrary, at the most advanced companies, “you’ll see that employees are doing a great deal more than creating simple graphs, bar charts, and pivot tables. Employees here are interacting with their data, and learning new things about their businesses in the process.”

Two recent factors have conspired to make this the moment for data visualization. First, says Simon, is the rise of Big Data and the growing public awareness of its power. “Today more than ever, professionals are being asked to argue their cases and make their decisions based on data,” he says. “A new, data-oriented mind-set is permeating the business world.”

But that push outside IT circles means that many non-technical professionals must now produce and comprehend insights from Big Data. Visualization can help, and a raft of new tools makes that possible. “IBM, Cognos, SAS, and other enterprise BI (business intelligence) stalwarts are still around, but they are no longer the only game in town,” he says. “Today, an organization need not spend hundreds of thousands or millions of dollars to get going with dataviz. These new tools have become progressively more powerful and democratic over the last decade. Long gone are the days in which IT needed to generate reports for non-technical employees. They have made it easier than ever to for employees to quickly discover new things in increasingly large datasets. Examples include Visual.ly, Tableau, Vizify, D3.js, R, and myriad others.”

For Simon, data visualization is the necessary ingredient in bringing the power of Big Data to the mainstream. How is your organization using dataviz?

This post originally appeared on Forbes.com.

Dorie Clark is a marketing strategist who teaches at Duke University’s Fuqua School of Business. She is the author of Reinventing You and Stand Out, and you can receive her free Stand Out Self-Assessment Workbook.

Julia Smith

Lifelong corporate (banking) exec seeking fun with startups in the AI space.

9 年

Thanks for this article. Attached below, for anyone who is asking about different software options, is a fairly detailed assessment of various visualization tools that I went through for a client a while ago. At the time, anyway, I couldn't find any standard assessment models to do the comparison, so had to develop this one from scratch. It may be helpful to others in the same position, at least as a starting point. By the way, the main takeaway I had from the experience was that While ease-of-use is definitely key, I found that a more important decision criteria was being able to think ahead for the enterprise controls that may be required after implementation. Information transparency is a great thing, but will need to applied carefully or some unforeseen risks may be caused down the road. The different software options are much varied in the way that can be used at the enterprise level, so that's a good thing to think about early. Link: https://www.dhirubhai.net/pulse/what-data-visualization-how-do-you-get-started-program-julia-smith?trk=mp-reader-card.

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Data visualization is better than summary reports but not yet a complete replacement as both are required

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Chris Naylor

Market Development Manager at NWF Fuels

9 年

Interesting point around 'non-tech' personal having to produce and comprehend insights. Visualising large data sets and presenting can often require something a little more powerful than Excel charts.

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Dr Antonio Feraco, PhD in AI, PMP?

COO / CDO | Managing Consultant | Industry 4.0 / 5.0 | Digital Transformation Champion | IOT | AI

9 年

Very interesting point. I hv always been pushing for the 5th V when discussing about Big Data. I define Visualisation as the common taxonony to better understand and get insights from data and apply decisions timely.

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Fernando Lombos Fernández

BDM / KAM CYSE Ciberseguridad y Dato Grupo SERMICRO (Grupo VINCI COBRA IMESAPI)

9 年

...very important concepts!

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