New York, the concrete jungle of the US, is one of the leading financial hubs in the world. On a daily basis, there are analysts creating intrinsic value for their firms with the help of various data visualization tools. Most make use of the tools that they have become accustomed to from their university days or the initial training they received at work.
Employees across other major cities like London, Mumbai, and Singapore follow the same suit. In this manner, they miss out on learning other data presentation tools that can enhance your career trajectory.
Discover some of the best data visualization tools to demonstrate understanding and improve your skillset.
Learn these tools to create the best financial reports and deliver a detailed analysis.
MicroSoft Excel (Particularly its Advanced Features)
A classic that often gets overlooked by seasoned (and sometimes fresh) employees as a data visualization tool. This is because most analysts are already familiar with Excel due to its daily use in their occupation. Along with this, the availability of other tools with better features becomes attractive.
So, they limit their learning and understanding of the spreadsheet software. Instead, one can develop a thorough understanding by learning advanced features such as PowerPivot, which is best used when working with multiple data sources.
A wide array of resources in the form of courses, video tutorials, books, and more are readily available. These can either be free or paid resources. Nonetheless, they can advance the presentation of the data.
QlikView as a Data Visualization Tool
QlikSense (not QlikView), introduced a decade ago, is one of the best data visualization tools on the market. To put it simply, QlikSense is much easier and better to use. Although QlikView was tried and tested, it has become dated. So, many firms have already migrated to QlikSense.
QlikSense provides a customizable dashboard that can help create interactive visuals that are simple to understand. It even features the use of AI that helps in chart selection for better insights.
A unique feature that is clearly highlighted by Qlik is their “associative” data engine, which can let a user visualize the entire data from whichever angle they please. Additionally, Qlik offers detailed resources for learners to understand and utilize their project.
Sisense for Data Visualization
Another major player in the market is Sisense. It is best known for its accessibility, allowing users to get analytics from anywhere on any device. It is ideal for projects that have a heavy database with a diverse set of data.
With an easily customizable interface that features drag-and-drop, users can represent their data with eye-catching charts. Like the tools above, it has many resources, like their embedded playground, which can make it easy and fun to learn for developers.
Closing Thoughts
Apart from the three data visualization tools mentioned above, there are an endless number of avenues to take to improve your skillset. The deciding factor will be based on what your objectives and end goals are. Naturally, not everyone has the time to learn something from scratch. However, one should still try to adopt new skills with the tools given above.
