Guide to Choosing the Best Data Analytics Tool for Your Business

Quick Summary: Explore the finest data analytics tools empowering businesses today. From the robust Tableau for interactive visualizations to Apache's versatile framework – Apache Spark for data engineering, this blog delves into top contenders such as Power BI, QlikView, and Zoho Analytics. Discover how these tools drive data-driven decisions and insights across industries.

Imagine you are going to a dream holiday destination. The first thing you will do is to explore the place over the Internet. You will try to get a closer look at the place, where you can experience its authenticity – be it food, monuments, traditions, or any history attached to the place. You will actually get a good idea from the Internet before you visit them. And now, you log into social media platforms like Instagram or Facebook.

What do you see?

Advertisements of your dream destination cover all your screens. It means that your Internet tracks every detail of what you search for and gives you additional information that might help you explore further.

Now, what is this called?

This is where Big Data and Data Analytics Services and techniques help you unleash the world of hidden, yet targeted information.

According to the latest estimates, approximately 402.74 million terabytes of data is created daily. Furthermore, 181 zettabytes of data will be generated in 2025.

Hence, with the help of the right data analytics tools, this data can be useful for business decision-making, studying customer trends, optimizing business performance, and delivering accurate services and product experiences for all industry domains.

You will find a plethora of data analytics tools in the market. Also, Data Scientists prefer some popular programming languages, which help them parse data with various data analytics techniques. In addition, data analysts' life becomes simpler by utilizing some amazing libraries of these programming languages.

Now, you might be concerned about some queries: what are the best data analytics platforms, how easy it’s to learn, and how you can leverage these tools for your organization.

Let’s read it.

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Best Data Analytics Tools

Now you have got some basic idea of what data analytics is, let’s go deeper to understand what are the best data analysis tools available in the market and what type of features they offer to us:

1) Tableau

Tableau is one of the most popular and market-leading Business Intelligence tools, allowing you to analyze and visualize data in a structured format with extensive coding expertise.

Being the best commercial data analysis tool, Tableau easily handles a large amount of data better than any other BI tool. It offers drag and drop interface functionality. Also, instead of letting you spend more time on Data Wrangling, it enables you to perform Data Analysis easily.

Tool Type: Data Visualization Tool

Availability: Commercial

It’s Used For: Creating data dashboards and Worksheets

Advantages of Tableau: Better speed, Interactivity, Mobile support, and Visualization

Disadvantages of Tableau: No data pre-processing and poor version control

Top Companies Using: Citibank, Skype, Deloitte, and Audi

2) Power BI

Microsoft Power BI is a leading Business Intelligence software that allows users to create and share reports, visualizations, and dashboards without relying on anybody.

Moreover, you can create a Power BI app by combining several dashboards and reports for easy deployment. Power BI also allows you to build automated machine learning models and integrate with Azure Machine Learning.

Tool Type: Business Analytics Suite

Availability: Commercial (with a free version available)

It’s Used For: Everything from data visualization to predictive analytics

Advantages of Power BI: Regular updates, Better visualization, Mobile app, and Data connectivity

Disadvantages of Power BI: Data limitations for free version, Rigid formulas, and Too much data can slow it down

Top Companies Using: Adobe, Heathrow, Worldsmart, GE Healthcare

3) QlikView

QlikView is a self-service Business Intelligence, Data Visualization, and Data Analytics tool trusted by over 50,000 customers globally. The data analytics software – QlikView enhances business value through data by providing multiple features like Data Integration, Data Analytics, and Data Literacy.

QlikView is the right data analytics platform for organizations looking for enterprise-wide dashboards and ad hoc BI analytical capabilities.

Tool Type: Data Analytics Tool

Availability: Commercial (with a free version available)

It’s Used For: Data Integration, Data Analytics, and Data Visualization

Advantages of QlikView: Faster data discovery, Interactive guided analytics, Mobility and Scalability

Disadvantages of QlikView: Less RAM limit, Not easy to develop an app, Work on old functions, and Embedding issues

Top Companies Using: CISCO, NHS, KitchenAid, and Samsung

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4) Zoho Analytics

Another popular tool of data analytics – Zoho Analytics, allows you to perform data analysis cost-effectively. It has become the foremost choice for SMBs and enterprise organizations with lower data volumes. It also comes with mobile applications for Android and iOS platforms, allowing you to perform Data Analysis of dynamic data.

Tool Type: Data Analytics Tool

Availability: Commercial (with a free version available)

It’s Used For: Data Preparation, Data Management

Advantages of Zoho Analytics: Intuitive dashboards, Excellent embedded AI feature (called ZIA), and Feature expansion through other apps.

Disadvantages of Zoho Analytics: Limited data visualization options, Cannot auto export data straight to Google Drive, Hourly data sync not included in entry level plan

Top Companies Using: Byju's, GroupM, and Tata Communications

5) Apache Spark

Apache Spark is another successful data analytics tool for big data and data engineering in the Apache Framework ecosystem. Being an open-source framework, Apache Spark has become the most active project among data scientists and analysts.

Apache Spark is incredibly fast when compared to other similar frameworks like Apache Hadoop. Since it leverages the RAM rather than local memory, it’s around 100 times faster and quicker than Hadoop. That’s the major reason why tech giants and large enterprises are adopting the best big data analytics software – Apache Spark – for their data engineering solutions. It’s highly suitable for Machine Learning and Artificial Intelligence.

Tool Type: Data Processing Framework

Availability: Open Source

It’s Used For: Big Data Processing and Machine Learning

Advantages of Apache Spark: Advanced analytics, Speed, Multilingual, Ease of use

Disadvantages of Apache Spark: No file management system, Rigid UI, Fewer algorithms, Windows criteria

Top Companies Using: Uber, Slack, Walmart, HubSpot, Shopify

6) SAS

SAS – Statistical Analysis System is a statistical software suite widely used for predictive analysis and data management. It’s used in Machine Learning, Data Science, and Business Intelligence problems.

The primary goal of modern data analytics software is for profiling customers, reporting, data mining, and predictive modeling. However, if you are well-versed in the SAS programming language, it will be an added advantage to use this tool.

SAS is among the popular BI tools offering multiple features like data exploration, data visualization, interactive dashboards, and ad-hoc reporting.

Tool Type: Statistical Software Suite

Availability: Commercial

It’s Used For: Business Intelligence, Predictive Analysis, and Multivariate

Advantages of SAS: Easily accessible, Business-focused, and Faster text analysis with automation

Disadvantages of SAS: High cost, Poor geographical representation, Difficult text mining

Top Companies Using: Google, Twitter, Accenture, and Genpact

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7) Microsoft Excel

Microsoft Excel is another Data Analytics tool or platform that will give you better insights into your data. It comes with several handy features like sharing workbooks, real-time collaboration, and extracting data from a photo. This makes data analysts rely on this tool very much.

Excel has evolved over time and has become the most popular data analysis tool, allowing you to manage small amounts of data, build pivot tables, and experiment with tabular analysis.

Tool Type: Spreadsheet Software

Availability: Commercial

It’s Used For: Data wrangling and reporting

Advantages of Microsoft Excel: Transform and clean data, Free templates, Data analysis with pivot tables, and Easy data input

Disadvantages of Microsoft Excel: Calculation errors, Poor at handling data, and lack of security

Top Companies Using: Amazon, Cigna, Deloitte, Intel, Microsoft, JP Morgan Chase

Need Expert Help for Finding the Right Data Analytics Software?With a plethora of options available in the market, you can quickly determine which data analytics tool can be the best choice for your business. In fact, you can choose the free trial plan to explore further and analyze how it can be beneficial to your business.With each passing year, the amount of data being generated is expected to rise and grow exponentially. Therefore, the role of Data Analysts will become essential for companies in the coming days. Hence, if you hire Data Analysts with great skills or connect with an experienced Data Analytics services provider, they will bring many benefits by making the most of data analytics tools.In a nutshell, data analytics tools will help you discover customer trends and patterns, and draw insights from data to make the right decisions. So, choose the right Big Data and Business Intelligence solutions provider company, Radixweb to find the best data analytics software. Our expert team of data analytics will not only help you generate data dashboards but also make you learn the usage of these amazing data analytics tools to enhance your business further.