Data Visualizat
The concept of using pictures to understand data has been around for centuries, from maps and graphs in the 17th century to the invention of the pie chart in the early 1800s. Several decades later, one of the most cited examples of statistical graphics occurred when Charles Minard mapped Napoleon’s invasion of Russia. The map depicted the size of the army as well as the path of Napoleon’s retreat from Moscow – and tied that information to temperature and time scales for a more in-depth understanding of the event.
It’s technology, however, that truly lit the fire under data visualization. Computers made it possible to process large amounts of data at lightning-fast speeds. Today, data visualization has become a rapidly evolving blend of science and art that is certain to change the corporate landscape over the next few years.
Data visualization: A wise investment in your big data future
With big data there’s potential for great opportunity, but many retail banks are challenged when it comes to finding value in their big data investment. For example, how can they use big data to improve customer relationships? How – and to what extent – should they invest in big data?
In this Q&A with Simon Samuel, Head of Customer Value Modeling for a large bank in the UK, we examine these and other big data issues that confront retail bankers.
Play Video
Why is data visualization important?
Because of the way the human brain processes information, using charts or graphs to visualize large amounts of complex data is easier than poring over spreadsheets or reports. Data visualization is a quick, easy way to convey concepts in a universal manner – and you can experiment with different scenarios by making slight adjustments.
Data visualization can also:
- Identify areas that need attention or improvement.
- Clarify which factors influence customer behavior.
- Help you understand which products to place where.
- Predict sales volumes.
Data Visualization in Today’s World
What’s the impact that data visualization has had in the corporate world – and what’s in store for the future? Here’s what the experts are saying.
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.
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.
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.