Introduction:
As the data analytics domain increases, so does the number of data analysis tools. So, if you are thinking about a career in data analytics, you’ll want to know; What data analysis tools do I must learn for a successful career?
As a result, we will understand some of the most crucial data analytics tools you should be aware of in this article. Alternatively, you can also enroll in the Data Analytics Online Course, which will make you aware of the necessary tools you can use as a data analyst.
Data Analytics: Meaning
It is the process of collecting results from data. It comprises data analysis and management procedures, tools, and strategies such as data gathering, organization, and storage. The primary goal of data analytics is to make use of statistical analysis and technology to data to identify trends and solve issues. However, data analytics has grown in importance in the company as a tool for analyzing and modifying business processes and enhancing decision-making and business results.
Several Available Data Analysis Tools:
List down below are the available data analysis tools you can use in the year 2023:
● Microsoft Excel
Microsoft Excel is a tool that may assist you in gaining insights into your data. This tool is one of the most popular Data Analytics tools. It offers users options such as sharing workbooks, working on the newest version for real-time collaboration, and importing data to Excel directly from a photo. Moreover, Microsoft Excel provides products in three categories:
- Home Use Only
- For Businesses
- For Enterprises
Apart from the above three categories, a few versions are free for one month. Make sure that all of these products have different versions that differ in terms of functionality and cost.
Almost every firm uses Microsoft Excel regularly to get beneficial insights from data. Thus, McDonald’s, IKEA, and Marriott are well-known brands.
● R & Python
R and Python are the popular programming languages in the Data Analytics industry. R is an open-source statistical and analytics tool, whereas Python is a high-level, interpreted language with simple syntax and dynamic semantics. The best thing is that both R and Python are free, and you may download them from their official websites. However, companies like ANZ, Google, and Firefox utilize R. On the other hand, other major corporations like YouTube, Netflix, and Facebook use Python.
● Apache Spark
It is one of the most successful Apache Software Foundation projects. Also, it is an open-source cluster computing platform used for real-time processing. As the most active Apache project, this tool comes with an excellent open-source community and a programming interface. However, this interface ensures fault tolerance and implicit data parallelism. Moreover, this tool continues to release new versions with new features. You may also select from a variety of Spark package types. The most recent version is 2.4.5 and 3.0.0. Furthermore, Oracle, Hortonworks, Verizon, and Visa all employ Apache Spark for real-time data computation with the simplicity of use and performance.
● Power Business Intelligence (Power BI)
Power Business Intelligence is a business analytics tool developed by Microsoft. It was named a leader in the Gartner 2020 Magic Quadrant for the 13th consecutive year. However, it delivers interactive visualizations with self-service business intelligence capabilities. This allows end users to create dashboards and reports without relying on anybody. Moreover, Power BI offers the following services and products:
- Desktop version of Power BI
- Power BI Professional
- Premium version
- Power BI Mobile
- Power BI Embedded
- Report Server
In addition, multinational corporations like Adobe, Heathrow, Worldsmart, and GE Healthcare use Power BI to extract excellent insights from their data.
● Tableau
Tableau is a market-leading Business Intelligence solution that allows you to analyze and visualize data. Being awarded a Gartner Magic Quadrant 2020 leader for the seventh year, Tableau allows you to work on live data sets and focus on data analysis rather than data wrangling. However, the Tableau Product Family consists of the following version:
- Tableau Server
- Desktop
- Tableau Reader
- Tableau for Online
- Tableau Public
Tableau Public is a free program that you may use to create visualizations. It is necessary to save your workbook or worksheets in the Tableau Server, which anyone can see. Furthermore, many multinational corporations like Citibank, Deloitte, Skype, and Audi can use Tableau to display data and provide valuable insights.
● KNIME
KNIME, or Konstanz Information Miner, is a free and open-source data analytics, reporting, and integration tool for analytics on a GUI-based workflow. This tool offers the following two pieces of software:
1. KNIME Analytics Platform
An open-source platform used to clean and collect data, make reusable components available to anyone, and develop data science processes.
2. KNIME Server
The organization uses this platform for data science workflow deployment, team communication, administration, and automation.
However, companies such as Siemens, Novartis, Deutsche Telekom, and Continental utilize the KNIME tool to make sense of their data and exploit significant insights.
Conclusion:
To summarize, we have compiled the top six data analytics tools that every data analyst may use in 2023 for an effective decision-making process. Remember that there is no single tool that performs every activity. Data Analyst has to ensure they apply their knowledge and experience to get the best results with these tools. By looking at these tools and an overview, if you are also eager to have a career in a similar domain, we suggest you enroll in the Data Analytics Online Training.
