Human eyes love colors, bolding, cursive, and basically anything that highlights parts of texts. Why? So we do not have to focus as much as we would have to while reading blocks of text. It is for some reason difficult to keep our attention intact when we are presented with chunks of colorless text. This is the point at which effective business intelligence (BI) visualization tools become essential.
While analyzing data, we come to conclusions.These conclusions need to be put into a document, for example, that can be passed on to people interested in such outcomes. Data visualization can be called the “icing on the cake” that culminates this lengthy data analysis process. We live in a data-driven environment, so the path from getting the data to analysis is complex.
We need to present our findings effectively to get full value from the data. How do we do it? How do we choose the appropriate technology for our needs? Let’s look at data visualization tools!
As suspected, each of the data visualization tools available on the market has its perks and disadvantages. Finding out information about it can be tricky and time-consuming. There is no conclusive response to the question about the best data visualization tool; to find the perfect match, you will have to focus on your needs first. Identify the aspects that are the most important to you, and having that in mind, continue the journey to find your piece of technology.
A mainstay in the field of data visualization, Power BI has a large user base and broad adoption. It is a well-liked option.Why? Because of its free desktop version, easy report sharing, and smooth integration with several programs. Making the switch to cloud-based solutions usually results in additional expenses. Microsoft Power BI assists a company in making data-driven decisions and integrates best practices, data visualization, and business analytics.
Looker is a Google product that streamlines the use of data from other Google services. It is a strong choice because of its beneficial pricing structure, customizable reports, and cloud-native accessibility. Looker makes it possible to create and distribute captivating reports, easily connects to over 800 data sources, and is fairly easy to use(simple, intelligent reports.)
Tableau is a part of Salesforce and has many data connectivity features. According to the Tableau site, it is the most robust, safe, and adaptable end-to-end analytics platform. You can choose to use a free version but unfortunately, Tableau is going to share all your reports to the public. You have been warned.
Wow, I don’t need all the fancy software actually to thrive in this technology-driven environment. Excel has a lot of perks, starting with charts that are extremely easy to use. Excel is also widely used and can be a useful tool in certain situations.
Need a job? The Python ecosystem, which includes libraries such as Pandas, NumPy, Matplotlib, and Seaborn, offers a strong alternative for statistical data analysis. We encourage you to look into it because the number of experts in this area is still relatively small.
How do we know which one is for us? With which one will the conversation flow, like a river at the top of the mountain?
There are several factors for us to consider.How big is my company? How much data do we process? How big is the team handling data? How much money do we have?
Who takes up the front seat of analysis? No, not the tools, but humans. Without human experience, skills, and intuition, tools are… useless. To blossom and thrive in this environment, we need to combine human expertise and available software, a valuable partner in data visualization and analysis. each organization has different needs, team dynamics, and financial resources. Remember that adding human imagination to the mix is when data visualization tools truly shine.
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