Data visualization is the practice of translating information into a visual context, such as a map or graph, to make data convenient for the human brain to understand and pull insights from it. According to MIT (Massachusetts Institute of Technology), 90% of the information transmitted to the brain is visual and the human brain can process an image in just 13 milliseconds. And 50% of the human brain is active in visual processing as per the Piktochart research findings. The University of Minnesota and Ubiquity found that human brains process visuals 60,000 times faster than they do text and 93% of communication is nonverbal respectively. Now, we are exposed to 5x more information today than we were in 1986.
Today’s world is one of the data. Thanks to the rise of computing and the internet we now generate more ‘information’ than we ever have before. What’s more, this information is relatively easy to record and analyze, allowing us to gain the sort of insights that would have seemed impossible just a few decades ago. Through utilities like business intelligence (BI) we are collecting and analyzing incredible amounts of information to move forward.
Data visualization plays a vital role for decision-makers in exploring the data effectively and quickly understanding it through widgets. For instance, data visualization used for Covid Dashboard helps in providing accurate real-time data in a simplified form to make proactive decisions and stay at top of the graph while making predictive analyses of the threat.
Importance of Data Visualization in Various Sectors:
Data visualization is a requirement in almost every career used by teachers to display student test results, the computer scientists use this for exploring advancements in artificial intelligence (AI). The executives also used to share information with stakeholders. It also plays a vital role in big data projects. As businesses accumulated large collections of data during the initial years of the big data trend, they demanded a quick and simple summary of their data. Visualization tools were a natural fit.
Use Cases:
- Helping decision-makers understand how the business data is being interpreted to determine business decisions.
- Leading the target audience to concentrate on business insights to get areas that need attention.
- Handling massive amounts of data in a pictorial format to supply an outline of unseen patterns within the data, revealing insights and the story behind the data to select a business goal.
Benefits of Data Visualization:
Better Analysis:
Data visualization helps business stakeholders analyze reports on sales, promotion plans, and product interest. Based on the analysis, they can focus on areas that require attention to increase profits that make the business more productive.
Quick Action:
As mentioned, the human brain grasps visuals more easily than table reports. Data visualizations enable decision-makers to be notified fast of the latest data insights and take necessary actions for business growth.
Identifying Patterns:
Huge amounts of complicated data offer several opportunities for insights once we visualize them. Visualization permits business users to identify relationships between the data, providing better meaning. Exploring these patterns helps users concentrate on specific areas that need attention in the data so they will establish the importance of these areas to drive their business forward.
Finding Errors:
Visualizing your data helps quickly show any errors in the data. If the data tends to offer incorrect actions, visualizations facilitate recognizing inaccurate data sooner so it can be deleted from the analysis.
Exploring Business Insights:
In the present competitive business environment discovering data correlations using visual representations is vital to distinguishing business insights. Exploring these insights is important for business users or executives to decide the correct path to achieve the business’ goals.
Grasping the Recent Trends:
Utilizing data visualization, you can discover the recent trends in your business to supply quality products and concentrate on issues before they arise. By staying on top of trends, you can put more effort into increased profits for your business.
Best Data Visualization Tools used by Every Data Scientist
Tableau:
Tableau is a data visualization tool that can be used to create interactive graphs, charts, and maps. It permits you to link to various data sources and create visualizations in minutes. As a data scientist, Tableau is the most efficient tool to find out and use in your daily activities.
Microsoft Power BI:
The Microsoft Power BI is the data visualization tool used for business intelligence kind of data. It can be used for reporting, self-service analytics, and predictive analytics.
Data-Wrapper:
This is an online data visualization tool that can be used in various contexts. It is easy to use and has a clean and intuitive user interface.
Excel:
Microsoft Excel is a data visualization tool that has an easy interface, so it doesn’t have to be difficult to work with.
Zoho Analytics:
Zoho Analytics is a data visualization and reporting tool that can help you create custom reports and dashboards.
SAS:
SAS Data Visualization is a way of analyzing numerical data. Data visualization technology from SAS delivers fast answers to difficult queries, no matter the size of your data.
CSM’s Work in Data Visualization:
Sociomatic is a tool developed by CSM for grievance management, used for listening, and gathering voices from various social media handles of the government of Odisha department and authorities. This efficiently worked for identifying genuine complaints and quick redressal.
CSM has used the Tableau Visualization Tool for developing J&K State Dashboard to show clear facts and figures about the State. It is instrumental for tracking performances of different departments and schemes by capturing different KPIs.
COVID Odisha project has shown how technology-led process automation can enable data-driven decision making. The SAAS Tool is used in Odisha COVID Dashboard to capture different critical data about infected, cured, and death rates of people affected by Covid which helped Government to take vital decisions regarding lockdown, relaxation and covid guidelines for the state.
CSM’s integrated crop analytics solution combines satellite-based GIS mapping, image analysis & processing with the power of visualization. Granular data collection and plot-level analytics enable state authorities to have end-to-end visibility into farms and farmers.
