The Top 10 Data Analysis Tools You Can Use in 2022

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by Jacob Solomon Sep 14, 2022 News
The Top 10 Data Analysis Tools You Can Use in 2022

It's not just that data analysis tools make it easier to find and present information. Hidden sights can be revealed by analyzing trends,polating data from other sources and predicting the future. The top data analysis tools are listed. They look at their key features and prices.

Table of Contents

Data analysis tools make it easy to find and present data. Hidden insights can be revealed by analyzing trends,polating data from other sources and predicting outcomes.

Every enterprise decision is dependent on data. Data is generated and kept in large systems. It is useless to have raw data in itself. Data can be compelling in predicting trends and making insightful decisions that can grow a business Every company needs data analysis in order to survive.

Data analysis is used to get meaningful information. Decision-makers can easily understand the visualization techniques used to present the information. Data analysis can be done in many sectors such as transportation, healthcare, education, marketing, and online shopping.

Different tools can be used for data analysis. Five essential features are needed for a data analysis tool to work well. There are features in these features.

1. Demo or free trial

A good data analysis tool should be able to give a trial version. Organizations will be able to assess their compatibility with the tool and know the best plan to work with before committing to it. The data analysis company only shows the tool and how it works in a demo.

2. Data security

The company has a database and database management system. Without proper security, employees at all levels can have access to sensitive client data. Measures, permission, and level access controls are used to safeguard against data breeches. Data security shouldn't affect the ability of users to use the data.

3. Data integration

Before selecting an analytical tool, it is important to consider data integration. Data can be spread across different locations. A tool that can import and integrate such data with a few clicks is a good one. Data scientists shouldn't spend a lot of time connecting analytical tools.

There is more information on what data governance is. There is a definition and best practices.

4. Data visualization

Most data analysis processes end with data visualization. Data scientists and data analysts need to be able to share their findings with other people. Different data visualization techniques, such as graphs and charts, make it easy to comprehend and share data.

5. Dashboards and ease of use

The dashboard design of the data analysis tools you choose should be friendly. Whether or not the user is familiar with programming languages should not be a problem. Compatibility with mobile apps is an added advantage.

The future of database management is open source.

By the end of the decade, Allied Market Research expects the business analytic market to be worth $177 billion. That's something. There are a lot of options to choose from. This is a list of the best alternatives in the market.

Vendor websites that sell to mid-to-large enterprises are included in the list. Readers are advised to conduct their final research to make sure they get the best fit.

1. Apache Superset

Apache Superset is a visualization tool. Big data can be handled with an open-sourced software application tool.

Apache Superset has a number of key features.

  • Demo/free trial: Apache Superset is an open-source and free tool for all users.
  • Security: Superset provides a security model where different users can be granted varying data access levels. 
  • Data integration: Apache Superset can connect and integrate data from any structured query language (SQL)-based data source or database. 
  • Data visualization: Superset offers a wide range of rich visualization models. With the visualization plug-in, you can build custom visualizations directly into Superset. 
  • Dashboards and ease of use: Apache Superset provides interactive dashboards that make it easy to access and view data. 

Apache Superset is an open-source software application that can be modified to suit a company's needs. It is one of the few tools for analyzing big data.

The Apache Superset is free.

Businesses can use Apache Superset to explore and visualize data. It doesn't support the type of databases that are used.

2. GoodData

GoodData is a software company based in the U.S. The company was founded in 2007.

Good Data has a number of key features.

  • Demo/free trial: The solution has a free plan and paid plans. There is a 30-day free trial and demo version on request for the paid plans. 
  • Security: GoodData offers standard protection for all plans and additional enterprise security for the enterprise plan. 
  • Data integration: GoodData integrates with data warehouses, databases, and manually uploaded CSV files, among other sources. 
  • Data visualization: With GoodData, you can create charts to visualize data and easily share reports with others. 
  • Dashboards and ease of use: GoodData analytics is well optimized for different devices. 

There are options for coding and no coding on the Good Data platform.

$20/month/workspace is the price for the Growth of Good Data plan. There is custom pricing for the enterprise plan.

Good Data is an essential tool for software as a service platforms to bring insights and visuals directly to the end users. It may be difficult to use for beginners.

3. Looker

Thanks to a recent acquisition, Looker is part of the cloud platform. The company was founded and released in 2012 but became a subsidiary of the internet giant in 2019.

Looker has a number of key features.

  • Demo/free trial: Looker supports a demo version on request. They also support free trials. 
  • Security: Looker offers enterprise-class security. This means you can manage and control access to data as far as the end-user level. 
  • Data integration: Data integration spans over 60 SQL data sources, including Oracle, Google Big Query, etc. With Looker, you can access and write SQL into the database. 
  • Data visualization: Data visualization goes as far as and beyond your imagination. Apart from already existing templates, you can build custom visuals. 
  • Dashboards and ease of use: Looker has an interactive and dynamic dashboard that allows you to delve deep into data analysis. 

The creation of data-driven applications is sped up by Looker.

It can cost up to $5,000 per month.

Medium to large-sized companies can use Looker, a cloud-based data analysis platform, for all their data analysis needs. Looker isn't able to work with other types of databases.

There are ten data governance tools for 2021.

4. Microsoft Excel

The Microsoft Office suite of software includes an early spreadsheet application called Microsoft excel. It can be used for data visualization.

There are a number of key features of excel.

  • Demo/free trial: Microsoft Excel trial period for personal or business use lasts a month. The trial is a part of the Microsoft 365 package.
  • Security: Microsoft 365 offers inclusive protection for employee data and customer information. Business Premium subscription offers all-around data security. 
  • Data integration: You can connect to Power BI and integrate data from there and from Azure and databases. 
  • Data visualization: With Excel, you can create charts and graphs to understand data better. Sharing is also easy. 
  • Dashboards and ease of use: Excel is an easy software to use with mobile, desktop, and web versions available, but it lacks full-fledged dashboards. 

Adding data from a picture to a format in excel is a USP.

The Microsoft 365 Business Basic subscription is $6 per user per month.

Most businesses use Microsoft excel to process and conduct calculations on data. Limitations in terms of visualization and dashboards can be found in excel.

5. Power BI

Data visualization and business intelligence software is owned by Microsoft. You can easily understand the format of the data with the help of the PowerBI tools.

There are a number of key features of Power BI.

  • Demo/free trial: Power BI has an individual free trial to test out the various tools lasting for 60 days. 
  • Security: Power BI protects your data at different levels by applying sensitive labels or through the Bring Your Own Key Option. 
  • Data integration: Power BI offers excellent data integration from Excel, Microsoft Azure, databases, and other sources.
  • Data visualization: With Power BI, you can create and share interactive data visualizations across the globe.  
  • Dashboards and ease of use: Power BI is easy to use. The mobile app available for iOS and Android is used for viewing reports and dashboards.

PowerBI is owned by Microsoft and, as such, has excellent compatibility with Microsoft excel, which is a top-rated tool for data analysis. It is very easy to modify.

The cost for each user is $27.5 per month.

Microsoft's Power BI has proven to be a powerful data analysis tool, according to the editorial. Its use may be limited by its best features in the Microsoftecosystem.

6. SAS Business Intelligence

TheSAS is a statistical software suite used to perform in-depth data analysis. This tool was released over 50 years ago and is still being used today.

The main features of SAS Business Intelligence are listed below.

  • Demo/free trial: SAS offers free trials and demo versions lasting an average of 30 days. 
  • Security: The SAS software security framework is set to apply best practices in data security and privacy and remains compliant with GDPR. 
  • Data integration: SAS is well integrated with other applications and databases in data collection and sharing of insights. 
  • Data visualization: SAS helps you create compelling visuals that aid rapid understanding of a data set. 
  • Dashboards and ease of use: SAS is made easy for anyone to use with the drag-and-drop feature and mobile versions.  

SAS is a complete package that can be used in data analysis.

SAS costs start at $8,000 for businesses.

SAS is a great data analysis tool that is easy to use for all users. Small businesses may be deterred by the price.

7. Tableau

The software used by mid-sized to large organizations is called tableau. The company was acquired bySalesforce in 2019.

There are a number of key features of Tableau.

  • Demo/free trial: Tableau boasts of a 14-day free trial version that allows you to explore key functionality of the software. 
  • Security: Tableau is shielded by enterprise-grade security, ensuring that data never enters the wrong hands, even during scaling. 
  • Data integration: Tableau effortlessly blends and integrates data from different sources, creating a one-stop point for all your company data.
  • Data visualization: Tableau boasts of the best visualization tools and report generation, which you can easily share on the Tableau server. 
  • Dashboards and ease of use: Tableau is designed to meet the skill level of all users with a highly interactive dashboard. 

There are a lot of features that promote data integration from any source.

The Explorer license costs $42 per user, while the creator license costs $70 per month.

There are a lot of features and a simplified pricing system in the tool. It has been reported that it can be difficult for beginners.

8. Qlik Sense

A U.S.-based software company has developed a data analysis tool. The company has over 38,000 customers and has been recognized for its role in analysis and business intelligence.

The main features of Qlik Sense are listed below.

  • Demo/free trial: Qlik Sense has a free trial period of 30 days that requires only a Qlik account. You can also extend the business trial by 15 days.  
  • Security: Qlik Sense boasts of different security features like a role-based security model, report-level access control, multi-factor authentication, etc. 
  • Data integration: Qlik Sense fully supports data integration from databases, files, cloud services, and enterprise applications. 
  • Data visualization: Data visualization with Qlik is automatic and smart, updating itself based on the current context.
  • Dashboards and ease of use: Qlik Sense has a powerful, interactive dashboard that lets you notice important information quickly. 

A user can explore data without a specific query.

The price of the business is $30/month.

A highly sophisticated data analysis tool with optimal data integration and interactive features is what the editorial commented on. The mobile version of the software needs to be improved.

There is a question about what is enterprise data management. There is a definition and best practices.

9. KNIME

The Konstanz Information Miner is an open source platform for analyzing and reporting data. In 2006 it was released and used a lot in research.

Key features of KNIME are listed below.

  • Demo/free trial: KNIME software is readily available and free to use. 
  • Security: KNIME has a strict software engineering standard to make the software safe for users. The company then tests its security compliance regime with the software. 
  • Data integration: The open-source nature of the software allows for data integration for every data type and all data sources. 
  • Data visualization: KNIME supports data visualization using many tools.
  • Dashboards and ease of use: KNIME’s graphical interface is built such that knowledge of programming languages is not necessary to make predictive models or analyses. 

KNIME is an open-sourced tool that allows you to build or manipulate the software to fit your company's goals.

The tool is free to use.

The open architecture of KNIME makes it possible to modify it. There is a need for better visualization.

10. Zebra BI

The add-on software that promotes data reporting and visualization in Microsoft excel and power bi has several value generating features. Many companies use the software company to improve their business.

The key features of Zebra are listed.

  • Demo/free trial: Zebra BI has a free version and a pro version. The pro version also has a 30-day free trial. 
  • Security: Zebra BI was created to work with Microsoft and fully relies on Microsoft security policies.  
  • Data integration: Zebra BI was created to work with Excel and can be easily imported into it for immediate use. 
  • Data visualization: Zebra BI provides stunning visuals that put data in the proper perspective. It uses advanced variance charts, difference highlights, etc., to create better reports. 
  • Dashboards and ease of use: Zebra BI is straightforward to use and does not require training or prior programming knowledge. 

Zebra BI visuals can calculate and visualize data, making report building faster than ever, even if you don't know data science.

The Zebra BI Pro version is $4.02 per user per month.

The tool is easy to use with a free version. It only works as a Microsoft solution add-on.

There is a data catalog. There are examples and best practices.

Comparison of the Best Data Analysis Tools in 2022

Let's look through their highlights for comparison now that we have discussed the best data analysis tools.

Tool USP Pricing Verdict
Apache Superset It is an open-source software application, meaning it can be modified to suit a company’s needs. It is among the few data analysis tools available to handle big data.  Apache Superset is free to use.  Apache Superset is a free tool businesses can use to explore and visualize data. However, it does not support NoSQL databases. 
GoodData The platform can be used to embed dashboards with options for coding and no coding.  The Growth of GoodData plan costs $20/month/workspace. The Enterprise plan has custom pricing. GoodData embedded analytics is an essential tool for software as a service (SaaS) platforms to bring insights and visuals directly to the end users. However, it might be difficult to use for beginners. 
Looker Looker provides embedded analytics for users; speeding up the creation of data-driven applications.  Looker Enterprise can cost up to $5,000 per month. Looker is a cloud-based data analysis platform that can provide medium to large-sized companies with all they need for data analysis. However, Looker is limited to working with SQL databases. 
Microsoft Excel Microsoft Excel allows the direct addition of analog data from a picture to a fully editable format in Excel.  Microsoft 365 Business Basic subscription costs $6/user/month.    Microsoft Excel is a very efficient tool for small businesses in processing and conducting calculations on data. However, Excel is relatively old, which means limited features in terms of visualizations and dashboards. 
Power BI Power BI is owned by Microsoft and, as such, has excellent compatibility with Microsoft Excel, which is a highly popular tool for data analysis. Power BI Premium costs $27.5 per month for each user. Power BI is a powerful tool produced by Microsoft and has proven itself as a powerful data analysis tool. However, its best features are seen within the Microsoft ecosystem, which may limit its use. 
SAS Business Intelligence SAS is a complete package that can be used in data analysis, from basic statistics to advanced data analysis.  SAS costs start at $8,000 per year for businesses. SAS is a great data analysis and BI tool that offers maximum functionality and is easy to use for all user roles. However, the price may be a deterrent to small businesses. 
Tableau Tableau has a wide range of features promoting data integration from any source.  Tableau Creator licenses cost $70/month, while the Explorer license costs $42/month per user. Tableau is a highly recommended tool with a wide range of features and a simplified pricing system. However, it has been reported to have suboptimal customer support and can be complex for beginners. 
Qlik Sense Qlik Sense prides itself on going beyond query-based analytics, allowing a user to explore data without a specific query.  Qlik Sense business is priced at $30/user/month. Qlik Sense is a highly sophisticated data analysis tool with optimal data integration and interactive features. However, there is a need to improve the mobile versions of the software. 
KNIME KNIME is an open-source tool that allows you to build or manipulate software to fit your company goals.  KNIME is a free data analysis tool.  KNIME is a valuable tool that is freely accessible and can be modified due to its open architecture. However, there is a paucity of learning materials and a need for better visualization.
Zebra BI Zebra BI visuals can automatically calculate and visualize data, making report building faster than ever before, regardless of data science knowledge.  Zebra BI Pro version costs $4.02/user/month. Zebra BI is a powerful data visualization tool that is easy to use with a free version. However, its use is limited as it works basically as a Microsoft solution add-on. 

There is more information about data security. Policy and best practices are defined.

Takeaway 

Data analysis is a necessary field for most organizations. A data analytic career path can be lucrative, as demand for this role grows. You can get actionable insights from diverse datasets with the best data analysis software.

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