Data visualization in layman’s language describes any determined attempt to help people understand the significance of data by placing it in a visual context. The analytics is presented visually so that the decision-makers can grasp difficult concepts or identify new patterns in a short span of time. When something becomes too difficult to understand, then data visualization comes into the picture which simplifies everything to a concept that can be easily grasped. Data visualization basically puts the complex data into a graphical format, allowing the user to easily understand the state of business and identify patterns to bolster successful strategies. It also Identifies and improves the areas that need attention immediately. It gives better clarification on which all factors influence customer behavior. It helps to understand the product positioning in a better way. Predicts the sales volume quickly.
Human eyes are more reactive to colors and patterns as compared to text, this is another reason why data visualization is getting more attention. We can easily figure out the difference in colors, shapes because of human nature. It is human nature to quickly identify the trends by looking at graphs and figures. Now we can understand the need for good visualization tools in the world of a deluge of data. In big enterprises where we have different data sources that are also stored in different, it is very critical for a business to have some tool. which can extract data from different sources and present in some visuals which help the business to take strategic decisions based on charts. In Big data world, Data visualization tool has become an integral part of the technology stack of any organization.
Let's have a look at the below dashboard where we have presented some stats for Brazil using one of the popular data visualization tools Tableau. This dashboard is dependent on various data sources and data points but government agencies would not be able to calculate some important indexes by just looking at different data sources. Their job has been made easier by data visualization tools.
On the basis the statistics from Forbes, the top seven data visualization tools preferred by the users are explained below in a set pattern in order to have a better understanding of these tools :
Tableau is the master of data visualization software with a large customer base of 57000 and more majorly because of its simplicity of use and ability to provide interactive visualizations far beyond the capability of other general BI solutions. The ability of Tableau in integration with a large number of advanced database solutions including Hadoop, Amazon AWS, My SQL, SAP, and Teradata help them in managing huge data along with fast-changing datasets that are used in Big Data operations, including artificial intelligence and machine learning applications. Efforts have been put in for research and testing enabling Tableau to create graphics and visualizations efficiently making them feasible for humans to understand.
Here are the Pros & Cons Of Using Tableau:
Cost: $70 USD/user/month billed annually.
Open-Source/Licensed: Licensed. It has a free trial available.
Qlikview tool is another major player and Tableau’s biggest competitor with a clientele of around 40,000 customers among 100 countries. The most appreciable feature of this tool is highly customizable set. It also has a wide range of features as it is a valuable advantage. Along with data visualization as one of its key components, it also offers powerful business intelligence, analytics and enterprise reporting capabilities. Qlik Sense,a sister package of Qlikview is used for handling data exploration and discovery.
Cost: $15 USD/user/month billed annually.
Open-Source/Licensed: Licensed. It has a free trial available.
It is Microsoft offering in data visualization. It is basically a business analytics service that delivers insights to quick and fast decisions. Their visuals prove to be stunning and can be shared with other end-users on any of the devices. Visually exploring and analyzing data on-premises and in the cloud—all in one view.
There are three pricing plans for Power BI:
Cost: $497 USD/user/month billed annually.
The key to success of this API is its focus on cross-browser support which commonly means anyone can view and run its interactive visualizations. This unique feature is not available even in newer platforms.
Cost: $430 USD/user/month billed annually.
Datawrapper is gaining popularity especially among media organizations which require frequently the use to create charts and also present the statistics of different data’s. Another vital feature added in Data Wrapper is that it is simple with a clear interface that makes it very easy to upload csv data.
The end-user can also create straightforward charts, and even maps, that can be quickly embedded into reports for presentation.
Cost: $29 USD/user/month billed annually.
Plotly is an open-source tool that enables sophisticated and complex visualizations, because of its ability to integrate with analytics-oriented programming languages such as Python, R, and Matlab. Plotly is preferred by users for creating, disseminating, and modifying graphical and interactive data online. It can even be installed on the premises. It can be deployed in the cloud. This way it is useful for data mining scientists who are always looking out for ways to organize and present data without actually involved in coding. Plotly users also have the right to collaborate among themselves for building, sharing, and editing maps and charts. This additional feature boosts the speed of visualization as well as the presentation of data in a unique way also maximizing efficiency from each member by ensuring that each of them has their own designated set of tasks.
Cost: $420 USD/user/year billed annually.
Sisense provides excellent instant insight for anyone and anywhere within the organization. It has the capacity to visualize dashboards and reports and summarize the statistics of any piece of data, even the uncover underlying trends & patterns and helping the decision-makers to conclude with the data-driven statistics.
Cost: The cost of the product varies case by case basis depending upon the two factors:
Open-Source/Licensed: Licensed. It has a free trial available.
It is a supercomputer offered by IBM which leverages artificial intelligence and analytical components. It is named after IBM founder Thomas J Watson…
Basis the user’s data, it helps us to discover the pattern and insight of the available statistics.
Its intelligent and self-service application guides the user to the complete insight discovery process. Both structured and unstructured data can be easily extracted since the application uses natural language processing.
The biggest highlight of this process is that this application provides the new and of the user data.
Cost: $80 USD/user/month billed annually (For professional version).
This tool works on delimited data like CSV file or TSV file. It even works on copy /paste data as well. It acts as a missing link between spreadsheets and data visualization. Though Rawgraph is a web application yet the data security is not at all a concern. Wide range of conventional and non-conventional layouts are also available.
With the blink of an eye, the visual feedback is available. If the user is not happy with the visuals then another mapping can be done immediately.
Cost: Not available
Visual.ly aims at becoming the largest community for creating, promoting and sharing data visualizations. It is the content service in a visual format. They have dedicated big data visualization service and a very impressive portfolio. An online process is streamlined we can easily outsource our data for visualization to a third party wherein the input of the project can be shared and the creative team is available to assist for the entire duration of the project. Visual.ly even sends email notifications for all the achievements and milestones achieved through the users' data along with sharing the constant feedback by the creative team. The biggest advantage of the Visual.ly is their distribution network for showcasing the outcome of the project once it’s completed.
Cost: Need to check.
Open-Source/Licensed: Need to check
It basically creates a pictorial and graphical presentation of the data shared by the user. Google Charts have been coded with HTML5 and SVG and aims at total cross-border compatibility along with Android, iOS including older Internet Explorer versions supported via VML. All the charts created are interactive with an additional feature of zoom. They are very user-friendly accompanied by their site features - a really appreciative comprehensive gallery where we can see the data visualizations and interactions at our disposal.
Cost: Free trial available,
Zoho reports are very well known as Zoho Analytics. They have an online reporting and business intelligence service that helps get the new insights on the users’ data. It helps in creating and sharing powerful, ad hoc reports within minutes, without any IT help. Data of users can be easily imported from applications and databases, even behind firewalls.
Cost: $25 USD/user/month billed annually (For professional version).
It is basically a web application that supports the open-source. The major highlight is creating and sharing documents which have a live code, narrative text, equations, and visualization. JupyteR stands for IPython (Interactive Python). In multiple programming languages, it is used for interactive computing. Also, it was originally developed for the Python programming language. It is serving Uses include: data transformation along with cleaning, simulation of numerical, modeling of statistics, data visualization, machine learning, and many more.
Open-Source/Licensed: 100% Open source and free for all users.
Dundas BI comes with highly-customizable visualizations along with interactive charts, gauges, maps, scorecards and many more. In addition to that, there is also granular control over almost all visual design elements. Dundas BI also align them to the enterprise reporting needs in a dedicated reports designer. There is lots of flexibility while creating multi-page reports or ad-hoc reports. In short form, the complex views are available in simplified form for the user.
Cost: $99 USD/user/month billed annually (For professional version).
Open-Source/Licensed: One-time license.
Visme has transformed the way of creating & sharing very engaging Presentations along with Infographics and other visual formats. The content creation tool is the most popular tool being used by IBM, General Dynamics, and Accenture and 1.7 million other users. The stories and the boring data’s are being translated into engaging Visuals. The visually available product can be either published online or embed to any site and can be download for offline use.
Cost: $70 USD/user/month billed annually (For professional version).
Bafana is commonly used for the purpose of dashboard and graph composing. It focuses on providing ample ways to visualize time series metrics, mainly though graphs. They even support ways to visualize data through a pluggable panel architecture. At present, rich support for Graphite, InfluxDB, and OpenTSDB and even supports other data sources via plugins.
In a layman language, it is a tool in the Monitoring category of a tech-savvy user. They can create, edit, search and save the dashboards.
There are other tools as well. Please find below some other alternatives we have on data visualizations:
It offers an online charting service. We need to upload our data then we can easily create interactive charts based on uploaded data.
It is a dynamic collection of components, with the aim of keeping these components very customizable. The highlight of the project is its attempt to build reusable charts.
With so many options available, it becomes difficult sometimes to choose the right visualization tool for organization. The organization needs to carefully select the tool which can fulfill their requirement. The tool should be able to extract data from different platforms stored in different formats. The enterprise structure also helps in deciding the best data visualization tools.
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