Smart data visualization tools should include augmented data discovery with features that guide and show business users how to get the most out of data and how to display that data in a way that will make decision-making and analysis as easy as drag and drop. Data visualization does not have to be complicated, nor does it require software or features that take months to learn and master.
Exactly what is smart data visualization? Are we now dependent on a computer or a piece of software to decide how we see our data? Have we lost control of our reporting, data sharing and data views? The answer to those questions: a resounding ‘NO’. To understand smart visualization, let’s consider the old, traditional data visualization tools. Traditional data visualization is static and, while it may offer a choice of graphs and displays, it is not interactive. In other words, it is not smart. In the traditional scenario, visual illustrations, graphs, and displays are not useful. They don’t help business users to analyze and understand data or, more importantly, to choose the right method to display and report data for decision-making. The right view of data can make all the difference!
Imagine if your advanced data discovery tool could take the guesswork out of data preparation and visualization and allow your business users to see past the obvious to find the true insight and subtle patterns, trends and data that will help your business to achieve success. Features like smart data visualization make it easy to see what is happening, where the source of a problem lies and what market opportunities may be ripe for the taking.
Organizations that are currently considering and upgrade or a new business intelligence solution, should focus on advanced analytics capability that is simple enough for its business users to improve accountability and empowerment and cascade information throughout the organization to improve planning, results and competitive advantage. Included in this solution is Smart Data Visualization. This feature suggests the best options for visualizing and plotting for a particular set or type of data, based on the nature, dimensions and trend of data. Tools like these can allow the average business user to leverage sophisticated tools without the knowledge and skill of an IT pro or a data scientist.
Smart data visualization takes the guesswork out of data analysis. Why ask your business users to use cumbersome, difficult tools to analyze data or expect them to wait for professional analysts or IT staff to satisfy their analytical needs. They have a job to do and you hold them accountable for results but if they don’t have the right data visualization tools, they can’t get the most out of data.
Why do we need a graph? Me personally, have never needed a chart to check my sales data. I have used graphs to impress my seniors, who I am not sure if they get impressed with weak numbers presented in innovative graphs.
As the numbers get larger and inconsistent, a graphical display will help. I do not want to dilute your vision by giving an example, but the temptation is too high. – World population and comparison of per capita GDP and the number of people who are HIV positive on a 5.5-inch cell phone screen. Geo-mapping is the likely and the only way you see it at the moment. I agree that there is no other way. And I hope you can visualise some hypothetical data on a cell phone and sense how it will look with filters and options.
Smart Data Visualization! This concept seems alien to some people. Is it data that can read your mind and automatically display itself in a way that will help you understand? Is it a method you use to see data in a clear way; a technique you learn in a class? The answer is yes…and no.
