Top 5 best data analysis tools & software in 2023

Tram Ho

If you have just learned about the data analysis industry, and are wondering which tool to choose to support your BA work, BAC will list the top 5 tools. The most useful in this year 2023!

Along with the continuous development of technology and the volume of data, the demand for proficient use of digital tools to support data analysis work is also increasing. Many young people, especially those who have just started learning about Data Analysis, are wondering which data analysis tool to learn and start with. So, BAC will list the top 5 useful tools that data analysts often use in 2023!

In this article, BAC will list the top data analysis tools based on Forbes reviews, as well as describe the specific features and advantages and disadvantages of each tool so that readers can understand and choose for themselves a suitable tool.

First, let’s learn what data analysis tools are and why we need them!

1. What is a data analysis tool?

“Data analysis tool” is a collection of software or applications used to analyze and statistical data algorithms to help businesses make decisions about the allocation of resources and costs. reasonable fees. Businesses can make decisions about allocating resources, or pricing their products/services more rationally based on metrics and analyzed data. In addition, data analysis can also help businesses identify trends and understand consumer behavior.

2. The best data analysis tools & software in 2023

2.1. Microsoft Power BI – For Data Visualization

If you are looking for a tool that can help you present data and processes in the form of charts or dashboards (technical dashboards), then Power BI will be an extremely useful tool. This tool will help you to make statistics of indicators and build reports easily and conveniently.

Because this is software developed by Microsoft, the commands and their usage are quite similar to Excel. Users can also access them via website or smartphone (smartphone) and share those reports with anyone conveniently and quickly. In addition, Power BI also has other advantages such as:

  • No charge for services and products
  • Always available and constantly updated report templates, charts, dashboards…
  • Has integration with R and Python programming languages
  • Automate data updates according to a set schedule

While Power BI offers consumers a free version, the data processing capabilities will be limited if you do not upgrade to the paid versions. In addition, you will also face many difficulties if you process too much data at once. Power BI also doesn’t use many programming languages ​​other than “R” and “Python”.

2.2. Tableau -For Business Intelligence (BI)

Tableau is a data analysis software widely used in the field of Business Intelligence – BI. It is one of the basic, easy-to-use software that helps users to understand data by exporting data from different topics and fields into interactive charts, dashboards, map,…
Tableau is one of the best free data visualization tools on the market today. In particular, with Einstein Discovery AI, Tableau becomes an even more powerful tool in data analysis. Contrary to Power BI, Tableau can handle large amounts of data and can connect to many other programming languages ​​such as “C++, Java, …”.
Even so, Tableau still has some weaknesses such as:

  • Unable to automatically update scheduled reports
  • Or build complex calculations

2.3. Qlik Sense – For Machine Learning

Similar to Power BI and Tableau, Qlik Sense is also a data visualization product that allows you to dynamically create interactive visualizations and charts to help you make key decisions. corpse. Qlik Sense works on the basis of Machine Learning (machine learning) to help users understand and use data more effectively.
It offers extensive capabilities, including detailed AI-generated research and analytics, automatic data generation and preparation.
Qlik Sense can process and link large volumes of data from many different sources. One of the other special advantages of Qlik Sense is the hybrid cloud computing environment (Hybrid Cloud) – which supports the combination of public cloud (Public Cloud), private cloud (Private Cloud) and other software. on-premise sites. Whether operating in the cloud, via SaaS or “on-premises software,” Qlik Sense’s artificial intelligence (AI) functions can perform calculations and predict the tasks that organizations need to do. your position will perform.

The installation of Qlik Sense software is quite complicated and difficult. To install the new Qlik Sense on your device, you must install the server from the previous version on the same device.

2.4. Looker – For Data Exploration

Looker is an ideal business intelligence (BI) tool/software that provides valuable data and in-depth analytics to help companies gain a holistic view of their customers. Because Looker is based on the Google Cloud platform, it can integrate with other tools easily and fully exploit the SQL language.
Looker also has a powerful API (Application Programming Interface) that allows you to build custom applications based on the data it provides. Because it supports multiple SQL dialects, you can avoid errors like “database lock-in” and can continue to maintain a multi-cloud data environment. ).

Some disadvantages of using Looker software are:

  • There is no free version
  • Some reports take a long time to upload and process
  • Self-study will be quite difficult and requires guidance from experts and experienced instructors

2.5. Klipfolio – For Instant Metrics (Data Discovery)

Klipfolio is the most useful software in analyzing instant metrics and validating business decisions as it allows users to bring all metrics/data together in one place. Users can make full use of the data modeler to import and edit data, and then represent it however they want.
PowerMetrics is one of the tools that track historical data so that users can easily compare time periods and discover “historical trends”. This data analysis software is easy to use and does not require any coding knowledge.
Some difficulties that users encounter after using this software such as:

  • Instruction and support documents will sometimes not be updated to the latest version
  • The settings in the API (Application Programming Interface) are restricted

Forbes’ “best data analytics software ratings” are based on a variety of factors such as software integrations, pricing, API availability, and small business-specific features. Consumer support features such as usability, flexibility of each software, and actual customer experience were also compared.
Thus, in this article, we have found the 5 most popular tools & software in 2023: (1) Microsoft Power BI, (2) Tableau, (3) Qlik Sense, (4) Looker, and (5) Klipfolio. Each tool & software will have its own features, uses, pros and cons. Depending on the purpose of use, we can choose a tool & software that is suitable for us.
If you have found yourself a suitable tool to serve your data analysis work, you can find in-depth training courses to be able to capture that knowledge in the most effective way. ! BAC is currently offering training courses on “ Power BI ”, “ Tableau ”, “ SQL ” and courses related to BA industry. If you are interested, please visit the website ” ” for more details!

Reference source:
Share the news now

Source : Viblo