Data is not a new word. It’s been in the market for ages, but the use of data has increased many folds now. From decision making to manufacturing to even finances, data is used almost everywhere to make informed decisions. If you look at the figures, nearly 2.5 Quintillion bytes of data is generated every day in 2021. But where does all this data go, and what happens with it?
Well, there are certain professionals in the market who deal with data and make the most out of it. One of those professionals is data analysts.
Data analysts collect and scrutinise the data to help organizations make decisions based on data and insights. But to do that, they need a specific set of tools. And this article will talk about the Top 10 Data Analytics Tools of 2021.
1) Splunk
Splunk is used to monitor, search, analyze and visualize the machine-generated data (collected from websites and apps) in real-time.
It is used to capture, index, and correlate the data in a searchable container. It further crafts out visualizations, graphs, and dashboards out of that data in real-time. This is a go-to tool for every famous data analyst for their day-to-day practices.
2) Microsoft Power BI
Data analysts use various business intelligence platforms to perform their daily duties. But if I had to mention one business intelligence tool that makes the process way smoother, that would be Microsoft Power BI. It supports dozens of data sources and allows users to cross-share their visualization reports. It also allows users to combine multiple dashboards and reports in the app itself to make the distribution process easier. And the best part is It combines with Azure Machine Learning.
3) Tableau
Tableau is one of the most powerful tools used in the field of Big Data. Tableau is used for data visualization and as an analytics platform allowing users to create, share and embed reports over different operating systems.
Tableau has a quick and easy drag-and-drop dashboard and thousands of visualization components and allows users to work on live data sets. Tableau allows the data analysts to spend more time on their core work (data analysis) rather than dwelling on minor tasks.
4) Google Data Studio
One of the best yet free tools used for data dashboarding and data visualization. Google Data Studio seamlessly integrates with almost every Google application, be it Google Analytics, Google BigQuery, or Google Ads. As a result, it is a perfect tool for data analysts when it comes to analyzing their Google data.
For example, Google Data Studio can be used to build dashboards for Google Ads and Analytics data to understand customer conversion and retention.
5) Talend
Talend is probably the most powerful tool used to extract, transform, load the data. Talend allows you to manage all the steps involved in the ETL process (Extract, Transform, Load) quickly and delivers complete and clean data whenever you need it. Now you can also get Talend from Microsoft Azure Marketplace.
Not only that, Talend has five different products for your data analysis needs, i.e.
- Talend Open Source
- Stitch Data Loader
- Talend Pipeline Designer
- Talend Cloud Data Integration
- Talend Data Fabric
From small startups to tech giants, almost everyone is using Talend to make critical data-backed decisions.
6) Jupyter Notebook
Jupyter Notebook is a free, open-source web application that allows its users to generate reports and visualizations with data via live code. It can support more than 30+ programming languages. Its main work is to allow developers and data professionals to use a wide range of Python packages for analytics and visualizations. It can either run in a browser or on a different operating system after installation with the help of the Anaconda platform or Python’s package manager.
7) Apache Spark
Apache Spark is a cluster computing framework (an open-source) used for real-time processing. Data analysts use Apache Spark for real-time computation of data because of its speed and ease of use.
Being one of the most actively used data analysis tools, Apache has a fantastic open-source forum and community.
It can also be integrated with Hadoop and provides APIs in Java, Scala, Python, and R.
8) Microsoft Excel
Well, Microsoft Excel is commonly used for manipulating, building, and analyzing spreadsheets. It allows the data analysts to get better insights from the data. Data analytics professionals can store, analyze and edit their data in real-time. Users can also import data from different sources as well as from different formats.
But the biggest letdown of Excel is that it can only be used for simple analysis; it is not at all suited to analyze big data. But there is no doubt that it works seamlessly when it comes to storing data and other basic stuff.
That concludes our list of top data analysis tools in 2021. I hope you liked it, and make sure to comment your doubt below so we can address them for further assistance.
Read More – Benefits of Data Analytics