We are constantly surrounded by data. It greets us on social media, in team presentation or a flashy infographic or in form of a boring economic news feed. Data is increasing rapidly and becoming a central source of information. Companies are trying to build on data visualization capabilities to easily represent those complex and large data sets.
Data visualizations aids in decision making as it reduces the pain of analyzing complex data. Simple yet informative data visuals help decision makers with a generous opportunity to reap benefits from multiple data assets. Improvement in visualization technologies and new ways of thinking has raised the importance of data visualization to tell more stories.
Creating a strategy using data visualization
It is important to build a strategy for effectively using data for preparing data visuals. First, collect relevant data and eliminate the information which is not appropriate by cleansing that data. This will identify and extract meaningful information and then data visualization enables a continuous real-time monitoring. This will help you identify how to create a strategy using data which will influence the decision making.
Data strategy works step by step starting with the selection of data streams, working on real-time, internal, external, or legacy data. Selecting the right tools and data processing partners should be done cleverly. However, without a strategy in place, the whole investment and effort put into leveraging data will end up being unhelpful.
Data visualization bridges the gap between data and insights
The simplest explanation about data visualization is that each dashboard, infographic, graph, heat map, chart etc., makes sense of data. Develop a visualization that is able to identify your needs and develop into insights. The information presented in form of visuals should be appropriate enough to inspire and initiate apt action. Through data visualization, you can identify hidden patterns which will help you effectively bridge the gap between data and insights.
The nature of narrating stories will help business discover new operational patterns that would impact decisions. General Electrics’ always specializes in solving complex issues and it was back in 2009 when GE decided to use data visualization for identifying causes of death. They prepared charts as male versus female and also used different age criteria to segregate the sheet in accordance with categorization.
GE received a tremendous response to it. The stakeholders- be it customers, employees or management everybody thought it would be a great way of representing or telling a story and that’s where it all began. Now with help of visualization tools like Tableau and PowerBI is just like a piece of cake.
Summing Up
Massive data is something every organization should focus on irrespective of size or market value. The blockage here is to understand all data and glean meaningful insights. Traditionally this was a challenge but evolving data visualization techniques has made it simple. Data visualization is certainly an important step in deriving value from data. Therefore the quality and capability of data visualization impacts your business strategies and crystallizes operational activities. Turn to data visualization and see the change.
