Data Visualization Is The Future – Here’s Why
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.”
Visual Storytelling: Why Data Visualization is a Content Marketing Fairytale
The best content marketers start with research and gather great data that supports their message. That data could be customer satisfaction percentages, product ratings, testimonials, reviews, etc. They then use those facts to support their message in a way that generates conversions.
We’re told “Content is king.” and that having great online content is THE marketing miracle to driving sales. And it is. But nowadays, there’s so much clutter on the web that simply having great content isn’t enough. The sad truth is that your content can’t rule solo over your marketing kingdom anymore. But never fear there’s a way to enhance your content and make it more engaging to your audience.
That way is data visualization.
Why Data Visualization?
Turns out, humans are designed in a way that makes data visualization a great strategy for content marketing. By conveying your message in a visually appealing way, you can make people more likely to support your cause, share your message, or buy your product.
Here are three reasons why people are so attracted to visual content, and why data visualization may work for you.
1. We love to consume data, especially data about ourselves.
2. We love to see that data represented visually.
3. Humans are scientifically designed to love stories.
Disruptive Innovations will shape Enterprises in 2014
Big data analytics is making big waves across all facets of industry, with adoption stories and use-cases reaching new zeniths. This pace can be attributed to the information explosion that is leading to unprecedented levels of focus on the ability to store, manage, and analyze data.
Last year saw a lot of interest in big data, data analytics, business intelligence, and open-source analytical tools and technologies. Industry pundits have emphasized the need to enrich traditional data warehouses with data from social media, sensors, and handheld devices. Cloud technologies in business analytics proved advantageous in terms of cost-saving and scalability, enabling better business agility.
On the usage front, B2B marketers have realized the importance of social media and implemented innovative marketing analytics techniques and dashboards to drive value to the company. The use of predictive analytics in insurance industries gained popularity in 2013 as companies realized how data insights can impact business growth, risk management, and loss prevention. Newer domains, such as healthcare, explored analytics for improving patient care and remote patient monitoring.
This interest shows no sign of slowing. The big data market is predicted to reach $32.4 billion by 2017,according to IDC, growing six times faster than the overall IT market. But where exactly is all this growth heading? Here are my pick of the trends that will shape the course of analytics consumption
