Currently, companies, be they small or large, are generating tons of data that can help us uncover insights for engagement, leads, and even hidden trends and patterns. With a data analytics tool, these insights can help create strategies and maximize our efforts in a certain direction.
Therefore, to decrease the amount of effort to find the top data analytics tools for your requirements, we have created this listicle. So, let’s go through the list and take our business intelligence to the next level.Read Less
14 Best Data Analytics Tools to Uncover Siloed Data in 2026!
Table of Content
- 1. Microsoft Power BI
- 2. Google Analytics
- 3. Tableau
- 4. Qlik Sense
- 5. Looker Studio
- 6. SAS Viya
- 7. SAP BusinessObjects
- 8. Sisense
- 9. RapidMiner
- 10. Zoho Analytics
- Data Analytics Tools - Suitable Industries!
- How We Created the List of the Best Data Analytics Tools & Software?
- Common Types of Data Analytics Tools
- Top Data Analytics Tools - Pitting the Contender Against Each Other!
- Conclusion
- FAQ
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Microsoft Power BI
Why You'll Love It
Microsoft Power BI delivers seamless integration with existing Microsoft products and delivers a familiar user experience. Furthermore, it allows teams to quickly leverage robust data analysis and visualization features.Top Features
- Automation features
- Pre-built dashboards with real-time reports and visualizations
- Strong governance features
- Robust data ingestion and connection capabilities
- Automation features
More about product
Microsoft Power BI is among the best business intelligence software that is consistently recognized as top-of-the-line. The tool supports self-service analytics powered by AI and ML, best suited for business users and data scientists. Microsoft Power BI offers flexible plans for businesses of all sizes and intelligence with your Microsoft office tools. Microsoft Power BI is the answer to your questions, like which business intelligence software do you recommend and why? The standout feature of Microsoft Power BI is its ability to source results from hundreds of data connection sources, multiple cloud, and IoT devices.
Google Analytics
Why You'll Love It
Google Analytics is considered for its ease of use, comprehensive data tracking, and powerful reporting features. Also, it is free and easily integrates with other Google products.Top Features
- Explore real-time website analytics anytime
- Access in-depth details like page views, sessions, etc
- Filter dates to see the historical website performance as well
- Save reports to the dashboard easily and access them anytime
More about product
If you own a website, then surely you might be curious about its real-time performance as well. Well, this app simplifies that task for your convenience. You can install this one of the different Google apps on your phone and explore the performance of your website without a large computer.
Tableau
Why You'll Love It
Tableau delivers exceptional data visualization capabilities. It empowers its users to create clear and insightful dashboards for data analysis and better decision-making.Top Features
- Real-time analytics with efficient UX
- Role-based permissions
- Querying in natural language with ask data
- Mobile accessibility
- Real-time analytics with efficient UX
More about product
Tableau is an integrated business intelligence software and analytics solution that helps to analyze key business data and generate meaningful insights. The cloud business intelligence software easily integrates and collects data from multiple sources like spreadsheets, Google Analytics, Salesforce, and SQL databases to create a comprehensive collective dataset.
The tool offers a live visual analytics dashboard that allows slicing and dicing datasets for generating relevant insights and new opportunities. Adding on, the software can be easily customized to cater to different industries' requirements. Users can view and analyze data on their smartphones with Tableau's mobile BI software application.
Qlik Sense
Why You'll Love It
Qlik has a unique associative engine that lets its users explore data intuitively. It uncovers hidden connections and generates unexpected insights.Top Features
- Connects to a wide variety of data sources
- Explore data and build visualizations
- Associative engine to explore data from different angles
- Advanced visualizations for a wide range of interactive charts and graphs
- Enable teams to share insights, discuss findings, and work together
- Connects to a wide variety of data sources
More about product
Qlik is another business analytics platform that empowers its users to explore and gain insights from data. Founded in the year 1993, it provides a suite of data analytics tools that includes Qlik Sense and Qlik Replicate.
It is one of the best data analytics tools for a user-friendly interface and associative data engine. This allows users to dynamically analyze data from various sources and even uncover hidden patterns in data. Overall, it caters to businesses that seek to transform raw data into knowledge and make data-driven decisions.
Looker Studio
Why You'll Love It
Looker Studio delivers exceptional ease of use and an intuitive interface. Furthermore, it allows its users to transform data into clear and insightful visualizations.Top Features
- Create customized reports with ease using this app
- The free version offers a variety of templates for report creation
- Filter data to gain accurate insights into your ad campaigns
- Save time generating reports compared to using other apps
- Create customized reports with ease using this app
More about product
Formerly known as Google Data Studio, Looker Studio is a data visualization app that lets you explore dashboards and reports. You can monitor your marketing campaign’s performance and choose how to adjust your business tactics based on it.
However, Looker Studio app is only available for Looker Studio Pro customers. The app syncs with your pro account and fetches the data to showcase on smartphones. Using the app, you can monitor your business campaigns and generate monthly reports more effectively.
During our analysis, among the best marketing apps that are preferred for their insights and marketing analysis abilities, Looker Studio definitely gave its alternatives a tough competition.
SAS Viya
Why You'll Love It
SAS Business Intelligence is chosen for its industry-leading analytics, proven track record, and ability to handle complex data for reliable insights.Top Features
- Create charts, graphs, and other visuals for users to represent data
- Real-time dashboards & reporting for dynamic dashboards and reports
- Mobile BI app to access data and insights
- Share insights and reports with colleagues for data-driven decision-making
- Data consolidation from various sources
- Create charts, graphs, and other visuals for users to represent data
More about product
Want to unlock the power of data and use it to make smarter decisions? SAS Business Intelligence is the key to it. It is one of the best data analytics tools that goes beyond reporting raw numbers.
By providing features like data visualization, advanced analytics, and even AI, SAS Business Intelligence has the capacity to empower users at multiple levels of organization. The tools also act as predictive analytics software. It automates insights for users, thereby, helping them uncover hidden trends and patterns to get actionable insights.
With the newfound knowledge of SAS Business Intelligence, you can make data-driven decisions that optimize efficiency, improve performance, and propel you towards their strategic goals.
SAP BusinessObjects
Why You'll Love It
SAP BusinessObjects is chosen for its powerful reporting, data analysis, and enterprise-grade scalability. Also, it makes it ideal for complex business intelligence needs.Top Features
- Unify data reporting, visualization, and sharing in a single platform
- Powerful search & browse to find information quickly
- Combined data sources from various sources for a holistic view
- Empower users to explore data and create custom reports
- Data visualization & dashboards to analyze trends and identify opportunities
- Unify data reporting, visualization, and sharing in a single platform
More about product
SAP BusinessObjects is an incredible data analysis software that can help translate data into clear and actionable insights. This is among the data analytics tools that deliver a centralized suite that acts like one of those business intelligence software.
The tool delivers a powerful combination of data reporting, visualization, and sharing capabilities. As part of the SAP Business Technology Platform, it provides scalable on-premise solutions. It transforms your data into real-time insights that are accessible via any device, anywhere.
Overall, this is amongst the tools for data analytics that empower users across organizations to make informed decisions. Furthermore, it delivers greater autonomy while fostering a collaborative environment. The tools help share knowledge and drive better business outcomes.
Sisense
Why You'll Love It
Sisense offers the ability to blend powerful analytics with an intuitive interface. This makes data exploration accessible for our entire team.Top Features
- Data integration connects with diverse data sources
- Create interactive dashboards and reports with ease
- Ad-hoc analysis for users to explore data freely and uncover hidden insights
- AI and machine learning functionalities like predictive analytics and data forecasting
- Real-time analytics for up-to-date analysis of complex data sets
- Data integration connects with diverse data sources
More about product
In the sea of growing data, making sense of everything can feel difficult. Sisense is amongst the top data analytics tools that can provide powerful business intelligence with a modern touch for a data-driven organization.
Forget clunky reports, the tool empowers everyone from tech-savvy analysts to executives. It lets you harness the potential of your data. The innovative platform leverages cutting-edge artificial intelligence and machine learning. The combination of these technologies transforms complex information into clear, interactive dashboards and reports.
Sisense presents a user-friendly format that allows you to uncover trends, identify patterns, and gain actionable intelligence at record speed. Furthermore, the tool seamlessly integrates with your existing applications making it a powerful and adaptable tool. With this one of the advanced data analytics tools, you can unlock many secrets hidden in your data to make informed decisions.
RapidMiner
Why You'll Love It
RapidMiner delivers a user-friendly drag-and-drop interface that empowers beginners while offering powerful features for data professionals.Top Features
- Visual drag-and-drop interface build data analysis workflows
- Clean, transform, and format data for analysis
- Train and deploy predictive models for tasks like classification and forecasting
- Text mining uncovers insights within text data
- Build and test data science projects quickly and easily
- Visual drag-and-drop interface build data analysis workflows
More about product
RapidMiner is a one-stop shop for any data science expert. The platform is powerful and goes beyond simple data storage. This is amongst the top tools for data analytics that offers a user-friendly visual interface for data mining and machine learning tasks.
With RapidMiner, you don’t need coding skills. It empowers you to build data analysis workflows with a simple drag-and-drop approach. These features make it a perfect entry for beginners to get started. Contrarily, it offers a robust toolkit for experienced users. So, clean, transform, analyze, and visualize your data with the intuitive environment of RapidMiner.
Zoho Analytics
Why You'll Love It
Zoho Analytics offers a user-friendly interface, affordability, and seamless integration with existing Zoho products to deliver data-driven insights.Top Features
- Drag-and-drop interface for easy data import, report building, and visualization
- Connect with data sources like CRM, marketing tools, and social media
- Different visualizations for charts, graphs, and insightful dashboards to uncover trends
- Share reports and dashboards with colleagues
- Scalable solution to accommodate increasing data volume and users
- Drag-and-drop interface for easy data import, report building, and visualization
More about product
Zoho Analytics is a data hero. It delivers a user-friendly and comprehensive Business Intelligence (BI) platform. With this one of the best data analytics tools in the market, you can forget the need for complex coding or specialist data analysts.
The tool helps empower everyone regardless of their technical expertise. It transforms raw data into actionable insights. Also, the intuitive drag-and-drop interface imports data from a variety of sources be it your CRM, marketing campaigns, and even social media.
With its affordable pricing, it can also be considered one of the best data analytics tools for small businesses. Beyond this, you get a powerful suite of tools for data cleaning, analysis, and visualization. Overall, this tool can empower you to make informed decisions, improve business, and gain a competitive edge.
Data Analytics Tools - Suitable Industries!
Our data analytics tools list comprises tools that are suitable for all sorts of businesses, be they small or big. However, each tool shines in particular areas and industries. Figuring out those, we have created a table below for you to make an effective decision.
Tool Scalability Data Source Connectivity Visualization Capabilities Self-Service Analytics Advanced Analytics Features Microsoft Power BI Good Excellent Excellent Good Moderate SAP BusinessObjects Moderate Good Good Moderate Good IBM Cognos Moderate Good Good Moderate Good Oracle Analytics Cloud Good (with configuration) Excellent Excellent Good Good (integrations needed) RapidMiner Moderate Good Good Moderate Excellent How We Created the List of the Best Data Analytics Tools & Software?
To provide the best data analytics tools for our users, we underwent certain factors and came up with our criterion. Let’s extrapolate:
1. Understanding User Requirements
- Data Types: Professionals often struggle with analyzing structured and unstructured data. So, the list should have had tools that deal with both these types of data.
- Data Volume and Complexity: Factors like the amount of data, its simplicity and complexity, and advanced analytics techniques determined the list. Our data analytics tools list, therefore, comprises tools that are capable of providing the necessary scalability in terms of data.
- Analysis Goals: The tools selected should be capable of providing different kinds of insights. For example, descriptive statistics, trends, forecasting, or machine learning.
2. Technical Considerations
- User Skills: Different data analysts have different levels of technical expertise. So, the data analytics tools added should cater to both advanced users as well as beginners.
- Data Integration: We considered the integration capability of the tools with different data sources, for example, databases, cloud storage, etc.
- Scalability: Are the tools capable of handling your current and future data volumes?
3. Other Important Factors:
- Security and Compliance: We considered that the security of the tool does meet the required data privacy and regulatory compliance needs.
- Cost: Keeping in mind the licensing fees, training costs, and ongoing maintenance, we considered the limitations and features provided by these data analytics software tools.
- Vendor Support: Is the customer support responsive and helpful? Is documentation good enough?
By considering each of these factors, we were able to create our data analytics tools list. Basically, we tried to cater to general as well as some specific needs. This helped us create a list that is ideal for both beginners and advanced users.
Common Types of Data Analytics Tools
Data analytics tools come in various types. Each of these types can sort different tasks within the data analysis workflow. So, here’s a breakdown of some common types:
1. Data Wrangling and Transformation Tools:
- These data analytics tools clean, prepare, and transform raw data into usable formats for analysis.
- Examples: OpenRefine, Trifacta Wrangler, and Python libraries like Pandas.
2. Data Visualization Tools:
- These are data and analytics tools that help create charts, graphs, and other visual representations of your data to communicate insights effectively.
- Examples: Tableau, Power BI, QlikView, and Google Data Studio (Looker Studio).
3. Statistical Analysis Tools:
- These tools for data analytics allow you to perform statistical analyses on your data. For example, calculating means, medians, correlations, and conducting hypothesis tests.
- Examples: R, SAS, Python libraries like SciPy and Statsmodels.
4. Programming Languages:
- While, these are not strictly tools, programming languages like Python and R offer powerful libraries and frameworks. These can be utilized for data analysis, data manipulation, and complex modeling.
- These languages provide a lot of flexibility and customization but, they require programming knowledge.
5. Business Intelligence (BI) Tools:
- These are comprehensive platforms. They combine data visualization, data warehousing, reporting, and sometimes even basic analytics capabilities.
- These are often targeted towards business users and provide user-friendly interfaces for data exploration and creating reports.
- Examples: Microsoft Power BI, Qlik Sense, SAP BusinessObjects.
6. Machine Learning and Artificial Intelligence (AI) Tools:
- These tools for data analysis allow you to build and train machine learning models for tasks like classification, prediction, and anomaly detection.
- Some data visualization and BI tools incorporate basic learning functionalities.
- Examples: TensorFlow, Scikit-learn (Python library), RapidMiner, etc.
7. Data Warehousing and Data Lake Tools:
- These are not analytical tools themselves. However, they play a crucial role in storing and managing large datasets for analysis.
- Data warehouses store structured data for querying and reporting. Contrarily, data lakes store both structured and unstructured data for broader exploration.
- Examples: Amazon Redshift, Microsoft Azure Synapse Analytics, and Google BigQuery.
Top Data Analytics Tools - Pitting the Contender Against Each Other!
To better understand the best data analysis tools, we identified the top 5 tools and compared them against each other. Here’s the table:
Tool Scalability Data Source Connectivity Visualization Capabilities Self-Service Analytics Advanced Analytics Features Microsoft Power BI Good Excellent Excellent Good Moderate SAP BusinessObjects Moderate Good Good Moderate Good IBM Cognos Moderate Good Good Moderate Good Oracle Analytics Cloud Good (with configuration) Excellent Excellent Good Good (integrations needed) RapidMiner Moderate Good Good Moderate Excellent Explanation:
- Microsoft Power BI: It delivers powerful and user-friendly features. However, scalability can be a big issue for extremely large datasets.
- SAP BusinessObjects: It is an established platform with good capabilities across all areas. However, scalability for big data might be limited.
- IBM Cognos: Another established BI platform with good functionality, but again, scalability for big data is a concern.
- Oracle Analytics Cloud: The tool delivers strong data handling and visualization. However, advanced analytics might require additional configuration or integration with tools.
- RapidMiner: It is not suitable for big data analysis, much like other tools. However, it excels in data mining and machine learning tasks.
Remember, this table of tools for data analysts is simply a starting point. You need to consider your own specific needs and priorities to evaluate tools that are suitable for you.
Conclusion
The importance of having the best data analytics tools at your disposal is no hidden truth. Our intent with this list was to help you find a relevant tool that can integrate easily with your cloud storage and in-house databases.
These tools can help you find insights that can help you tackle the current competition in the market and entice new customers. With us saying this, we hope that this list may have provided you with some relevant top data analytics tools as options. Options that will help you maximize efforts for your niche and use case.
Also, on an ending note, do you have a data analytics tool or any digital product that can help people? If yes, get your product listed. At MobileAppDaily, we create listicles for the best digital products in different categories. Products in these listicles are placed on relevant rankings. Being a part of this ecosystem can help you with getting new customers, branding, and more credibility in the market. So, don’t wait, and become a part of MAD (MobileAppDaily).
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Frequently Asked Questions
List out data analysis tools in Excel.
Here are some of the data analysis tools in Excel:
Data Cleaning and Manipulation:
- Remove Duplicates
- Sort & Filter
- Find & Replace
- Data Validation
Data Analysis Tools:
- SUM, AVERAGE, COUNT, etc.
- SUMIFS, AVERAGEIFS, and COUNTIFS
- PivotTables & PivotCharts
- Data Analysis TookPak
Visualization Tools:
- Chart & Graphs
- Chart Formatting
- Sparklines
Other Features:
- Conditional Formatting
- Goal Seek & Solver
List out some of the best data analytics platforms launched recently.
Some of the best data analytics platforms that have launched recently are:
- Tenable CloudScape (September 2023)
- Strikingly Data Platform (March 2024)
- Helical Insight (Continuously Updated)
- Jedox (Continuously Updated)
- Alteryx Designer Cloud (February 2024)
What are some data analysis applications that can improve your decision-making?
Some data analysis applications that can improve decision-making are:
- Business Intelligence (BI)
- Financial Analysis
- Risk Management
- Human Resources (HR)
- Marketing and Sales
- Operations Management
- Scientific Research
- Personal Finance
What are some data analytics tools and techniques that every data analyst should know about?
Some data analytics tools and techniques that every data analyst should know about are:
Tools:
- Spreadsheets
- SQL
- Programming Languages
- Data Visualization Tools
- Data Warehousing/Business Intelligence
Technique:
- Data Cleaning and Wrangling
- Exploratory Data Analysis
- Descriptive Statistics
- Hypothesis Testing
- Regression Analysis
We've got more answers waiting for you! If your question didn't make the list, don't hesitate to reach out.
