Managing and comprehending data would be a much easier task if it were uniform and limited to fewer sources. Unfortunately, this isn’t the case. Meaningful data comes in a diverse range of unstructured sources and formats including, emails, system logs, web pages, customer transcripts, documents, slides, informal chats, and an exploding volume of rich media like HD images and video.
Insights that are drawn from large amounts of data are often subtle and complex. It’s naturally more challenging to communicate these insights to people, particularly crucial stakeholders, decision-makers, and executives. But if properly designed, data visualization can present data in a visually stimulating way that makes it easier to comprehend the information given to us and helps us draw answers
In the world of Big Data, data visualization tools and technologies have become essential for any business that wants to make impactful data-driven decisions. Using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data. With a projected 149 zettabytes of data in the world by
How Data Visualization Improves Decision Making Today, many businesses are facing a “big data” crisis. The problem is that organizations are collecting datasets that are so large they can’t be processed through traditional means like spreadsheets and tables. Forrester reports that between 60 percent and 73 percent of all data within an enterprise goes unused due to a lack of
5 Essential Data Visualization Best Practices We’re dealing with unprecedented amounts of data. With advancements in connected devices, data capture technology, increasingly sophisticated analytics, and more, understanding large data sets is more critical for decision-makers than it has even been — regardless of industry. The big issue now isn’t necessarily the collection of data, it’s comprehending it in a meaningful