
Data Management
Top 5 Data Analytics Tools Of 2022
By TechDogs Editorial Team

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Overview
GB of online traffic, 176220 calls would have been made on Skype, 28571 searches would have been made on Reddit and 2083333 snaps would have been sent on Snapchat. We are not just throwing in random numbers, this is the exact data shared in the Data Never Sleeps 6.0 report from 2020.
Clearly, there’s a lot of data out there. To be able to collect, manage and most importantly, make use of this data, one needs a Data Analytics Tool. While there are many who are yet to recognize how path-altering this data can be for their business, this article is for those who know it's worth. If you’re looking for a solid Data Analytics Tool to take your growth to the next level by leveraging data insights, we’re here with the perfect solution(s).
Continue reading to learn about the best five Data Analytics Tools on the market today that can assist you in analyzing massive quantities of data and make better decisions to develop your business.
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What do you think of a food joint serving uncooked, farm-to-mouth food? You could call it the Early Man Cafe! (Damn, we should use this name!) No food processors, no ovens, no cooked dishes, just food in its most natural form. Exotic, right? After all, who needs a chicken pot pie when you can gorge on pre-baked dough? We know that it is inedible, so what are we trying to say?
We are proving a point that, much like uncooked dough, unprocessed data is inedible, AKA worthless. You have to clean, organize and analyze your data to turn it into the flavorsome chicken pot pie for your business... and you do that with Data Analytics Tools (DAT).
A good Data Analytics Tool helps you collect, clean, organize and then analyze your raw data to find relevant information that can help your business succeed. It also provides you with data visualization, predictive analytics, data wrangling, reporting and more.
Keeping these criteria in mind, we've handpicked five Data Analytics Tools that are the best in the game. Here you go!
Top Data Analytics Tools Of 2022
Data Analytics Tools not only need to have robust systems to collect and organize data but also need to be analytical enough to identify trends and share predictions without making it all sound too complicated. Here are 5 Data Analytics Tools that are doing it right.
Microsoft Power BI![]() |
Tableau![]() |
Apache Spark![]() |
Qlik Sense![]() |
Google Data Studio![]() |
Tool 1: Microsoft Power BI
Not that Microsoft needs any introduction but we will do our due diligence. Founded on April 4, 1975, Microsoft is one of the Big Five companies in the Information Technology business. They have a net worth of $580 billion and annual revenue exceeding US$90.0 billion! That's one fancy restaurant.
Microsoft Power BI tool makes it onto our list because they offer some fantastic features to their users. Founded in 2011, Power BI is an end-to-end data analytics platform that offers self-service business intelligence and visualization capabilities. Due to the apparent capabilities of the Power BI platform, Gartner recognized Microsoft as the Leader in the "2019 Gartner Magic Quadrant for Analytics and Business Intelligence Platform."
It was the first product to bring a complete suite of analytical tools into one software package through interactive dashboards, advanced reporting features and predictive analysis built on top of cloud computing architecture. Users could easily create meaningful visuals like charts, gauges or maps without any coding knowledge!
Tool 2: Tableau
If Tableau were a restaurant, it would have all the Michelin Stars out there for Data Analytics. Tableau was founded by Christian Chabot (CEO) and Chris Stolte (CTO) in 2003. The company was appreciated as a leader in the Gartner Magic Quadrant for nine consecutive years between 2012 and 2021. Can you even imagine! Best of them all, Tableau won the "Best Business Intelligence Solution" by the Software and Information Industry Association. In 2019, Salesforce acquired Tableau for $15.7 billion! #CountTheZeros
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Tableau is a great Data Analytics Tool because it offers powerful data visualization and self-service business intelligence features. Tableau enables teams of all levels, from novices to experts, to work together on the same project - whether they are in the office or across the globe! The tool offers powerful live connections to more than 200 databases, including spreadsheets, files, cloud-based services like Microsoft Azure and Amazon Web Services.
Additionally, it has an API (Application Programming Interface) so developers can build custom apps on top of Tableau's capabilities. It also allows you to visualize your data in the form of interactive graphs, charts or maps. It is known for its intuitive interface - which means you don't need any programming knowledge to make your visualizations with this tool!
Tool 3: Apache Spark
Spark is the brainchild of Matei Zaharia and was conceived at UC Berkeley's AMPLab in 2009 and open-sourced in 2010 under a BSD (Berkeley Software Distribution) license. The project was donated to the Apache Software Foundation in 2013 and the license was changed to Apache 2.0. Apache Spark had more than 1000 contributors in 2015, making it one of the most active projects in the Apache Software Foundation and one of the largest open-source big data projects.
Apache Spark is an integrated Data Analytics Tool that provides machine learning features and fast processing without the use of any database, making it a potent tool to have at your fingertips! It can analyze data in real-time with its streaming engine, so you don't need to pre-process or aggregate your data before analysis. What's more is that Spark can run on any platform such as Hadoop, Apache Mesos, standalone, or in the cloud, so it matches every business's needs.
Tool 4: Qlik Sense
Pronounced "Klik" and formerly known as QlikTech Inc., the Qlik company was founded in 1993 and works on a Software as a Service model. The company has been named a Leader in 2021 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms for 11 years in a row. Can you beat that?
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Talking about their chicken pot pie, Qlik Sense, their flagship Data Analytics tool, is an enterprise-wide platform for analyzing and visualizing data. Qlik Sense's Data Analytics Tool offers a very interactive user interface and is seamlessly integrated with Salesforce and Amazon Redshift, making your data even more accessible. The software provides powerful visualization capabilities such as charts, maps, and more while connecting different databases into one single view so you can quickly find insights about your organization's past performance or future potential.
Qlik Sense has built-in features empowered by Machine Learning and Artificial Intelligence that constantly learn from how you work, helping everyone in your organization make better data-driven decisions.
Tool 5: Google Data Studio
Is there any part of technology that Google has not aced yet? Talking about how great Google is; if there's was any doubt, Google is one of the most popular and valuable brands in the world. In 2020, Google gained more than $180 Billion in revenue while Alphabet, Google's parent company, ranked 4th among worldwide internet companies, with a market capitalization of US$182.53 billion. Forbes ranks Google second while Interbrand ranks it fourth on its list of most valuable brands! We can keep singing praises of Google but today, we talk about Google Data Studio.
Google Data Studio, a free data analytics service offered by Google, has been built by both data analysts and web developers, so it provides advanced visualization capabilities such as charts, graphs, maps and more. Additionally, it also offers an intuitive interface which means anyone - even non-technical users - can work with publicly sourced information without knowing how to code or build their visuals.
Most importantly, Google creates the tool; you know what that means! Easy integration with other Google tools, such as Sheets and AdWords. You can upload data from many different data sources; the tool offers more than 100 data connectors!
Is The Chicken Pot Pie Ready?
There's no denying that data analysis is added vertically in your business structure - and that requires dedicated time, effort and resources. It doesn't come easy and requires specialized skills. However, it is equally true that if you're able to tap on the data at your disposal, you can gain deeper insights into your business and industry than ever before. Also, to decide which of the top 5 you should try out, consult your team. Better still, make the use free trial version of each of these tools and then go for the tool that your team finds most useful and easy to work with.
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