The Best Data Analytics Tools Of 2024

Microsoft Power BI is a data analytics program that allows you to create sophisticated, dynamic data visualizations from a variety of sources. It also allows you to communicate critical business insights that lead to success. This tool allows you to build and maintain data reports and dashboards with ease, as well as share them securely between applications.

Users will transition from designing to analyzing to presenting with less data preparation using their existing skills, such as Microsoft Excel. Plus, there are free online tutorials and training materials you may distribute to your employees. The ability to access the app on your smartphone and generate reports to share and collaborate is essential, and Microsoft Power BI has it covered with its app.

Who should use it:

Microsoft Power BI is an excellent data analytics tool for small businesses that are looking to create sophisticated data visualizations.

Tableau is a data analytics software that is widely used in business intelligence. It helps users to see and understand data with its built-in visual best practices. Tableau is also known for its scalability and efficiency, which makes it a popular choice for businesses of all sizes. As part of Salesforce, Tableau has Einstein Discovery AI, making it an even more powerful tool for data analytics.

It gives two hosting options: host on your own server if you have the IT resources to do so, or host with Tableau Online. If you need help getting started, the Tableau Community is a great resource with millions of members who can offer advice and support. There are also many integrations and APIs available for Tableau, making it a very versatile data analytics tool. If you have users that only require view access, they can be added to your plan for a deeply reduced monthly price of $15 per user.

Who should use it:

Tableau is a data analytics tool that is best suited for businesses that are looking for business intelligence.

Qlik Sense is a data analytics software that uses machine learning (ML) to help users understand and use data more effectively. It offers a full range of augmented capabilities, including AI-generated analyses and insights, automated creation and data prep, search and natural language interaction, machine learning and predictive analytics.

With its high-performance software-as-a-service (SaaS) and hybrid cloud architecture, organizations of all sizes may take advantage of unrivaled analytics performance and versatility. Whether operating in the cloud, through SaaS or on-premises, its artificial intelligence (AI) capabilities can make predictive calculations your organization can take action on.

Who should use it:

Qlik Sense is data analytics software that is best suited for businesses that are looking to use machine learning.

Looker is ideal for data exploration and provides value by delivering fresh insights to teams. It is part of the Google Cloud Platform, so it can easily integrate with other tools you’re using. Looker also has a robust API that allows you to build custom applications on top of the data it provides. And because it supports multiple SQL dialects, you can avoid database lock-in and sustain a multi-cloud data environment.

Its blocks feature enables you to push data visualizations into your workflow exactly when you need them. With its support for hosting on public clouds such as AWS and Google Cloud Platform, as well as in multi-cloud and hybrid environments, Looker gives you the flexibility to run it how you want.

Who should use it:

Looker is data analytics software that is best suited for businesses that want to use data to visualize patterns and important traits.

Klipfolio is a data analytics software that is best for instant metrics and validating business decisions because it allows users to bring all of their metrics together in one place. Users may use the powerful data modeler to import and edit data and then present it in a way that they like.

PowerMetrics is one of its tools that keeps track of data history so that users can easily compare time periods and explore historical trends. This data analytics software is easy to use and doesn’t require any coding knowledge.

Who should use it:

Klipfolio is data analytics software that is best suited for businesses of all sizes that are looking to get instant insights from their data.

Zoho Analytics is a data analytics software that is designed for robust insights. It integrates with a variety of sources, including files and feeds, popular business apps, cloud and on-premise databases and custom apps. It also has an easy-to-use connector interface.

It has self-service data preparation and management capabilities, as well as an intuitive drag-and-drop interface augmented with AI and ML capabilities. Zoho Analytics has a wide range of APIs that allow it to be readily expanded. Its mobile app is available on both iOS and Android platforms.

Who should use it:

Zoho Analytics is best suited for businesses looking for robust insights.

Domo is a data analytics software that is best for streamlining workflows. With sub-second queries at scale, Domo allows you to select from packages that include data storage and query volumes.

It offers powerful drag-and-drop ETL (extract, transform and load), over 1,000 pre-built and custom data connectors, over 150 interactive chart types, push notifications, instant collaboration with chat, apps for iOS and Android, access to hundreds of pre-built business apps, programmatic management with APIs and enterprise security features including single sign-on (SSO) integration, personalized data permissions and BYOK data encryption.

Who should use it:

Domo is data analytics software that is best suited for businesses looking to streamline workflows.

Sisense Fusion isn’t just another analytics platform. It opens doors to a world where data transforms into revenue, not just reports. How does it manage this? By handing the keys of AI-powered analytics to everyone, not just the tech-savvy. With pro-code, low-code and no-code options, it bridges the gap between complex data handling and everyday business needs. Imagine a marketing manager accessing the same predictive insights as a data scientist and you begin to grasp the democratizing power of Sisense.

Sisense doesn’t simply deliver analytics; it injects them directly into the products. Development teams can weave dashboards and predictive insights into their existing ecosystem without breaking a sweat. It’s like fitting a custom-tailored suit rather than an off-the-rack disappointment. The focus on user experience (UX) doesn’t just end at customization. The platform’s design vision allows brands to maintain consistency, keeping the analytics from becoming a distracting sidebar.

The platform’s speed and agility resonate with innovative companies, providing the flexibility to grow and adapt. Being cloud-native, Sisense is similar to a chameleon, adapting to various cloud infrastructures. It doesn’t just sit in the cloud; it thrives there, powering product differentiation whether you choose to run it on-premises or through SaaS options.

From data visualization that guides the exploration to AI-driven insights ready to propel actions, Sisense is not about static metrics and charts. It’s about interactive exploration. It’s about creating a dialogue with data, allowing businesses to converse with numbers as easily as they do with words.

Who should use it:

Businesses and development teams that aim to leverage data for growth, innovation and intelligent decision-making.

Google Analytics isn’t just another analytics tool; it’s like a skilled guide that walks you through the intricate maze of customer behavior. With real-time reporting, you’re not merely watching numbers change; you’re standing in the middle of a bustling marketplace, observing your customers’ every move. Acquisition and engagement reports aren’t static snapshots; they’re dynamic narratives, chronicling the individual stories that make up your audience.

Imagine holding a crystal ball that not only tells you what’s happening now but what will happen next. Google’s predictive capabilities are not confined to mere conjecture; they’re grounded in cutting-edge ML that models user behavior with uncanny accuracy. It’s as though you have a future roadmap, complete with all the twists and turns your customers might take.

Connecting insights to results is more than just a promise; it’s a reality with Google Analytics. Visualizing data isn’t confined to rigid, predefined charts; you can drag and drop variables onto a canvas, seeing instant and insightful visualizations. Think of it as painting a portrait of your audience, using numbers and trends as your color palette.

Google Analytics is your business’s magnifying glass, microscope and telescope all in one. Whether you want a closer look at user engagement, a deep dive into data collection techniques or a broad view of advertising returns, everything is within reach, woven together with the precision of an artisan.

Who should use it:

Companies that aim for an immersive experience in customer data, wishing to understand, predict and act upon user engagement and behavior.

In a world where data is scattered like puzzle pieces across different departments, SAP Analytics Cloud acts as the mastermind that brings it all together. With this solution, planning and analytics are not isolated actions; they merge, allowing an entire enterprise to move cohesively. Imagine your team not just predicting the future but simulating it. Through predictive planning, it’s more than a guess; it’s a calculated foresight fueled by ML. What’s collaboration if it’s limited by devices or platforms?

SAP Analytics Cloud doesn’t just talk about collaboration; it embeds it into your workflow, allowing real-time dialogues across plans. With features, such as Smart Predict, it democratizes data, taking it from the hands of the few and giving it to all. It’s not about overloading with information; it’s about enriching insights. The flexibility of design is not just a feature; it’s a philosophy that recognizes that every business is unique and so should be its analytics.

Tailor-made applications, insightful visualizations and the ability to reveal hidden patterns without bias all contribute to a system that thinks, adapts and even predicts.

Who should use it:

Organizations seeking a versatile and intelligent solution to integrate planning and analytics, making data-driven decisions accessible across different levels.