The quantitative or qualitative collection of variables is referred to as data. These numbers are of no use if we do not understand them or make use of them. This understanding is called data analysis.
To do data analysis, we don’t have to be an expert. This data can be so presented that it is understood even by a layman. This representation of data in a visually compelling way is called data visualization. Data visualization is accomplished with the help of many business intelligence tools.
These tools primarily include the use of spreadsheets, reporting software, data warehouse, etc. These business intelligence tools help organize the data in such a form that it can be readily used. The data visualization uses a blend of attractive colors, dimensions, and labels in such a manner that it looks beautiful visually.
It is a well-known concept that anything that looks good automatically becomes interesting. The use of charts and graphs make use of a large amount of data in a smaller space. These business intelligence tools compare data and provide outputs of areas of our interest.
Professional help needs to be taken for creating this data analysis for companies. The volume of data is so large it is not possible for non-professionals to handle it efficiently and quickly. The most commonly used business intelligence applications are spreadsheets. It clubs data in a small space.
A pictorial representation helps say thousands of words in a small space. The type of tools to be used varies of the size of the company and its data size. Tableau data analytics is the most commonly used tool. It suits all sorts and volumes of data. It helps detect a specific pattern or any area which needs attention.
Entrepreneurs are becoming more and more tech-savvy. So they may prefer making reports themselves. There are many BI reporting tools available in the market. They help make fact-based data analysis so that quick action can be taken. Decisions can be taken in a fast and effective manner.
There are quite a few tools available for data visualization. The best data visualization tools are Tableau, QlikView, Fusion charts, High charts, Datawrapper, Plotly, and Sisense. These are some of the business intelligence tools used by the professionals worldwide, and they help us collect data, integrate it and then analyze and present it for better decision making.
Tableau is the fastest and easiest tool to be preferred by beginners. It is easy to learn and not complicated to use. It helps summarize the data quickly.
QlikView is a self-analysis software. It means it will help you make predictions regarding the data on your own just with the help of this software.
Data wrapper is a tool which can help you use selective data from a massive chunk of data and represent it as per your requirement and reduce the hassle to go through the entire data.
Plotly is the more complex tool. It uses languages such as Python, MATLAB, etc. It is for high-end integration.
Last but not the least Sisense, is a complete and easy to use data visualization package. It has data analysis ability and drag and drop interface. It makes creating charts easy. It allows the interface of multiple sources of data.
The type of business intelligence tool to be used can be chosen wisely once the target audience is known. If the data we need is processed well and results are apparent, then the targeted approach becomes easy. The company or individual can work on improving the efficiency rather than waste time being confused with numbers, therefore, helping in future planning. If there is proper planning, then profits can be increased. Revenue is the primary motive of every organization. So, if a tool can help us boost it, we should give it a chance. Other few benefits seen are accuracy, better business decisions, timely action, improved data quality, employee satisfaction and customer satisfaction.