
Data Management
Top 5 Data Analytics Tools Of 2023
By TechDogs Editorial Team

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Overview
It’s not quite on point with the famous phrase from the Mission: Impossible but we think our adaptation works, right? Wait, works for what? You don’t know what we’re asking about! How could you answer that question without possessing any data?
What we’re talking about is Data Analytics Tools and the story we are cooking is that most spy movies have a protagonist who’s given a set of details (data, if you will) and must plan the next move correctly. Of course, in the movies (and probably in reality), the spy has to make decisions on the fly.
However, the highest probability of ensuring a mission is successful (possible, if you will) is by gathering as much data as possible and presenting it, i.e., through photos, blueprints, charts, graphs, etc.
You see, this is what Data Analytics Tools bring for businesses – a clearer picture. It sifts and sorts through the data available from various sources and displays it in a presentable format, making it easier for businesses to make informed decisions and plot their course ahead.
So, if you’re looking for the right spy for your enterprise, read on to learn the top 5 Data Analytics Tools of 2023!
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The boy ate his ______ (stapler / pie / wardrobe / faucet).
The dog slept on the ______ (pole / sun / bed / molecule).
Do you remember solving questions like these in school? Aah, the simple times when we’d be asked easy-to-answer questions. Even simpler times when they were multiple-choice (MCQ) questions, right?
However, as we grew up, the questions became more complex and the choices disappeared, mainly because all choices seemed viable. An apt adaptation of the school-time question would be – Sam went to sleep because he was ______ (sleepy, tired, bored, jet-lagged). See? The answer could be anything and everything and unsolvable without additional data. Businesses face the same predicament. However, they possess tons more data.
Luckily, they have Data Analytics Tools. These collect and analyze raw data from various sources and convert them into visually appealing and actionable reports to solve problems, make informed decisions, improve productivity, serve customers better and build growth.
If your enterprise needs such a tool, check out our list of the top 5 Data Analytics Tools of 2023.
Top 5 Data Analytics Tools Of 2023
As per research by Statista, the total amount of data created, captured, copied and consumed globally was forecasted to reach 64.2 zettabytes in 2020. More data means more data analytical requirements. Therefore, the market is booming, with a new Data Analytics Tool being launched and iterated every other week. However, do not fret, we have got you covered by listing out the top ones!
So, let’s get into the list of the top 5 Data Analytics Tools for 2023 - in random order.
Microsoft Power BI![]() |
Tableau![]() |
Qlik Sense![]() |
Google Cloud Looker![]() |
Sisense Fusion Analytics![]() |
Tool 1: Microsoft Power BI
Microsoft! You’ve certainly heard of this tech giant! Did you know it was founded in 1975 and has a workforce of over 200,000 employees? With a global presence, this multinational conglomerate has its headquarters in Redmond, Washington, USA. The company ranked #3 in Fortune’s World’s Most Admired Companies for a fourth consecutive year and was named a Leader in the April 2023 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms.
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Microsoft Power BI offers a platform to centralize your data and create datasets from any data source to gain an accessible, single source of truth. From there, using its simple, drag-and-drop interface, you can turn raw data into actionable insights with stunning visuals. The platform can integrate with numerous applications, including Microsoft 365. Furthermore, you can unify tools such as Azure Synapse and Azure Data Factory with Microsoft Power BI to enhance your data analytics through Microsoft Fabric.
The world has gone gaga over OpenAI’s ChatGPT and its Generative AI capabilities and Microsoft has benefited from it, thanks to a partnership between the two. Microsoft Power BI brings you the best and latest generative AI capabilities through Copilot. All you need to do is ask a question or describe the insights you need and Bada-Bing (pun intended) - Copilot analyzes your data, prepares reports and offers actionable insights. It is that easy!
What You’ll Love: Outstanding performance, User-friendly interface, Free trial available, Comprehensive dashboard, Mobile-app available.
Tool 2: Tableau
Initially founded in 2003, Tableau was acquired by Salesforce for $15.7 billion in 2019. Salesforce, headquartered at Salesforce Tower in San Francisco, California, USA, was founded in 1999. With a workforce of over 70,000 employees spread across 100+ offices worldwide, the company enjoys a global presence. It was recognized as the world's largest enterprise software firm in 2022 and also ranked 136th in the Fortune 500 list.
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Tableau is one of the oldest Data Analytics Tools in the market. It’s one of the world’s broadest and most profound data analytics platforms that offer end-to-end data solutions and collaboration. With pleasing-to-look-at visuals and data-driven insights, the platform helps transform how businesses use their data to solve problems. Tableau can be deployed in the cloud, on-premises or even natively integrated with the Salesforce CRM platform.
Tableau also offers generative AI capabilities through Salesforce’s powerful Einstein Copilot, from which gaining insights and decoding data is much simpler. Ahead of this, Tableau brings you Tableau Pulse (powered by Tableau AI). This will enable smart, personalized, contextual insights and plain language automated analytics delivered directly into workflows. Keep in mind, though, that these functionalities will be generally available from Spring 2024 (estimated March).
What You’ll Love: Easy to use, Supports multiple languages, 24X7 Support, Flexible pricing, AI and Machine Learning Capabilities.
Tool 3: Qlik Sense
Qlik Sense is brought to you by Qlik, a company founded in 1993 in Lund, Sweden. The company has over 2000 employees across 45+ locations worldwide and is headquartered in King of Prussia, USA. Listed in the Leaders Quadrant of the Gartner Magic Quadrant for Analytics and Business Intelligence Platforms for a thirteenth consecutive year, Qlik has over 40,000 customers globally, including the NHS, Lloyd’s, PayPal, Ford, Deloitte and more.
Qlik Sense offers AI and ML (Artificial Intelligence and Machine Learning) features across the platform. This offers automated insight generation, search and natural language interaction, AI-assisted creation and data preparation through the platform’s no-code-automated machine learning tool, AutoML. Furthermore, the platform also brings you a real-time data pipeline that provides instant and actionable insights, intelligent alerting, predictive analytics, mobile and embedded analytics and automated workflows.
Qlik Sense is a quick, intelligent, easy-to-use Data Analytics Tool that enables powerful collaboration through highly interactive dashboards. You can make selections in all objects, in any direction, to refine context and make valuable discoveries. Additionally, its one-of-a-kind associative analytics engine allows you to explore your data and uncover compelling insights.
What You’ll Love: User knowledge repository and guides, 24X7 Support, Free trial available, AI and Machine Learning Capabilities, Advanced analytical capabilities.
Tool 4: Google Cloud Looker
(Fun fact: If you’re looking for Google Data Studio, it’s now known as Looker Studio!)
Looker was founded in Santa Cruz, California, USA, in 2012 and was acquired by Google in 2019 for $2.6 billion. Of course, you know all about Google. However, as tradition, we’ll give you an introduction. Google was founded in 1998 and headquartered in Mountain View, California, USA. Between Google and its parent company, Alphabet Inc., the two own 200+ companies, including startups, acquired businesses and industry-leading companies.
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If you’re looking for Google Data Studio, it’s now known as Looker Studio! It allows you to access, analyze and garner value through smart data access and consists of a fresh, consistent and real-time view of your data, which can be collected from multiple clouds. Powered by Google Cloud, Looker brings quick and strong insights that can improve productivity and decision-making capabilities. The platform also allows you to use prebuilt integrations or build your own through a robust API (Application Programming Interface).
Looker also offers Looker Studio, which lets you easily access a wide variety of data and turn it into beautifully visualized representations. Through real-time collaboration, the platform lets you quickly build interactive reports and dashboards and share them with individual users, team members or whoever you want. Furthermore, you can also embed your reports on any web page. Google shines yet again.
What You’ll Love: Hassle-free implementation, Easy to use, 24X7 Support, Free trial available, Comprehensive dashboard.
Tool 5: Sisense Fusion Analytics
Sisense was founded in 2004 in Tel Aviv, Israel. Today, the company has its headquarters in New York, USA, with over 500 employees spread across 8+ offices around the globe. Its customer base, which consists of 2000+ global companies, boasts names such as GitLab, Nasdaq, Rolls Royce, Skullcandy, Verizon and more. Sisense was named a Leader in G2’s Summer 2023 list and was listed in the 2023 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms.
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Sisense Fusion Analytics helps you build intelligent analytics right into your products. The platform adopts a future-forward approach through its customizable, flexible and extensible interface. It enables data-driven decisions using AI-powered analytics and actionable insights to boost revenue through pro-code, low-code and no-code capabilities. The platform even lets you integrate AI (artificial intelligence) and ML (machine learning) across your entire data flow!
Sisense Fusion Analytics is all about ‘now’ and to do so, it offers real-time monitoring that keeps you updated on the current state of operations, along with predictive insights. The platform has robust ML models, strong AI insights and a powerful analytics engine, making developing AI predictions easy and cost-effective. Cool, right?
What You’ll Love: Customization possible, User-friendly interface, Prompt customer service, Flexible pricing, AI and Machine Learning Capabilities.
Winding It Up
When we live in a world of chaos, everything needs context to understand matters better. Data Analytics Tools can help you with just that – collecting, analyzing and presenting the data visually. The result? Enhanced processes, improved decision-making and better business growth with data-backed decision-making.
Every business has unique data analytics requirements, so ensure you pick a tool that suits your unique needs. Happy storytelling!
Frequently Asked Questions
What Are The Top 5 Data Analytics Tools Of 2023?
The top 5 Data Analytics Tools of 2023includes Microsoft Power BI, Tableau, Qlik Sense, Google Cloud Looker (formerly known as Google Data Studio) and Sisense Fusion Analytics. These tools offer various features and capabilities to collect, analyze and visualize data, empowering businesses to make informed decisions.
How Do Data Analytics Tools Benefit Businesses?
Data Analytics Tools help businesses collect and analyze raw data from various sources, converting them into visually appealing and actionable reports. These tools enable businesses to solve problems, make informed decisions, improve productivity, serve customers better and achieve growth by leveraging the insights gained from data analysis.
What Factors Should Businesses Consider When Choosing A Data Analytics Tool?
When selecting a Data Analytics Tool, businesses should consider factors such as the tool's ease of use, performance, support availability, pricing, integration capabilities, AI and machine learning features and suitability for their unique data analytics requirements. It's essential to choose a tool that aligns with the organization's needs and budget.
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