The term ‘Data’ has been around for a long time. Data plays a crucial role in decision-making for commercial operations. But how do you think we’ll manage so much data? In today’s industry, numerous functions deal with data to gain insights; one such critical part is that of a Data Analyst. An Analyst must use various data analytics tools to extract data insights.
Why data analysis?
Companies around the globe produce a vast amount of data. Moreover, these companies depend on data to make crucial business decisions. As a result, data and its raw form are converted into valuable, meaningful information.
What are Data Analytics tools?
Data collection or analysis tools are a set of charts, maps, and diagrams used to collect, interpret, as well as present data for various purposes and industries. Multiple programs and methodologies are created to use in almost any industry, ranging from manufacturing or quality assurance to study organizations and data collection firms.
To achieve the data analysis goals, we used various tools. Companies rely on these tools to gather and transform the data into meaningful insights.
So, which data analytic tools are best to analyze data?
Which tools are helpful for organizations to complete their daily work in a short time?
After extensive research, we have found a few stated best Data analytics tools which are helpful for any organization’s growth.
Microsoft Excel
Microsoft Excel is a platform that can assist you in gaining better insights into your data. Excel is known as the most popular Data Analytics tool. It offers users beneficial features such as sharing workbooks, working on the current update for real-time collaboration, adding data to Excel directly from a photo, and so on.
Microsoft Excel offers products in the below stated three categories:
- Home
- Business
- Enterprises
The surprising part about Microsoft Excel is that it is available for free for one month for users. All these products have several versions, which differ in features and pricing options.
Recent updates of Microsoft Excel
The most recent advancements vary according to the platform. However, the following are some factors for improvement in the Windows platform:
Workbook Statistics provides a snapshot of your workbook.
Backgrounds and high-quality stock visuals add flair to your files for free.
R & Python
R and Python are the most known programming languages in the Data Analytics industry. Furthermore, R is an open-source statistical tool, whereas Python is a high-level, interpreted language with simple syntax and dynamic semantics.
Both tools are free to use when downloaded from their corresponding official websites.
Recent Features of R & Python
Python and R are expanding their capabilities and features to make data analysis faster and more accurate. In addition, they are regularly releasing new versions of their software with updated features.
Tableau
Tableau is a market-leading Business intelligence tool used to study and visualize data in a simple format. Being named a Gartner Magic Quadrant 2020 leader for the 8th consecutive year, Tableau permits you to work on live data sets and focus on data analysis instead of data wrangling.
Tableau Product Family consists of the following:
Tableau Public is free software you can use to create visualizations, although you must save your workbook or worksheets in the Tableau Server, which anyone can view.
Recent advancements in Tableau
Tableau publishes updates regularly to provide consumers with the finest features. It currently offers the following components;
Automatically Update
Comfort Use
Fast Analytics
Smart Dashboards
Discover any data
Create a dashboard and transmit it live on mobile and web platforms.
Power BI
Power BI is a Microsoft product for business analytics. It was named a leader in the Gartner 2020 Magic Quadrant for the 13th year in a Quadrant. However, it provides interactive visualizations with self-service data analysis capabilities, allowing end users to develop reports and dashboards without relying on anyone.
Power BI offers the following products:
Power BI,
- Desktop
- Pro
- Premium
- Mobile
- Embedded
- Report Server
All of these products differ in terms of the features they provide. In addition, some of them are free for a limited time, after which you can purchase the licensed versions.
Recent updates in Power BI
Power BI has recently introduced solutions such as Azure + Power BI and Office 365 + Power BI to assist users in analyzing, connecting, and protecting data across multiple Office platforms.
SAS
SAS (Statistical Analysis Software)has become one of the best tool for generating statistical modeling, which is helpful for data analysts. A data analyst can use SAS to mine, manage, retrieve, or update information in numerous variants from multiple sources. In addition, the statistical Analytical System allows users to access data in any format (tables or Excel worksheets). Apart from that, it provides a cloud platform for business analytics called SAS Viya to gain a firm grip on AI and ML.
SAS characteristics include:
Modern Programming Language: It has a simple syntax and an extensive library, making it suitable for non-programmers.
Large Data Format: It supports various programming languages, including SQL, and can read data in any format.
Encryption: A function called SAS/SECURE provides end-to-end safety.
Rapid Miner
Rapid Miner is a completely automated visual workflow layout tool for data analytics. It’s a no-code platform, so users don’t have to write code to separate data. It helps in many industry sectors, including education, training, and research. Although it is an open-source platform, it is limited to adding 10000 data rows and a single logical processor. Last but not the least, Rapid Miner makes it simple to deploy Ml algorithms to the mobile or web.
Recent Advancements of Rapid Miner
Rapid Miner 9.6 was recently released, extending the platform to full-time programmers and BI users. It is an end-to-end Data Science platform that supports data preparation, Algorithms, and model operations. Additionally, Users can access cloud storage facilities, including AWS and drop box.
SQL
Structured Query Language is an effective, fast query processing tool that retrieves large amounts of data from multiple databases. It enables exceptional handling by providing users with standard documentation. Besides, it stores information in a table format, with rows representing records and columns representing different features.
Unlike other programming languages, SQL queries use simple English words to communicate with databases. It is a popular database management language used by every organization to retrieve data and create custom business models. It has assisted in precise data management and in delivering optimal results. Structured Query Language provides data storage, handling, retrieval, and analysis to support. Also uncovering insights from complex information as technologies, storage, and IT solutions improve.
So, which data analytics tools you have tried before?
Do let us know in the comment section and for more interesting topics do visit
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