Top 10 Data Analytics Tools to Master right now
Did you know that every single day, about 2.5 Quintillion bytes of data are being generated? Can you analyze this data with technology from 40 years ago? How about tools from 10 years ago? The answer would be a big no! Mastering the latest Data analytics tools sets you apart. Data analytics is no longer just a process for finding the most efficient route from point A to point B. It is not just about machines sorting out data so you can make decisions. Let’s look at one example: The autopilot modes in Tesla Model S cars and Google cars. Machines are evolving to make much better insights than even humans. It is the dawn of automation. This calls for the development of innovative jobs to handle machines, to handle seamless data in different ways. Being adept at top data analytics tools will make you a professional ready for the changes of tomorrow.
Also Read: Data Analytics certification courses
So in this article, we have made a data analytics tools list. These tools can help you become a top professional. Let’s dive in.
Splunk
One of the best data analytics tools in this list, Splunk is a software platform that helps you to search, monitor, analyze, and visualize data collected from different sources. Splunk can capture, index, and correlate real-time data, organize it into a searchable container. Then it can present it in a visually accessible manner (graphs, dashboards, visualization, etc.) This is one of the best data analytics tools which has diverse products in fields such as IT, Security, DevOps, Analytics.
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Products
Here are some of the Splunk products based on their function
Platform
Splunk Cloud Platform
Splunk Enterprise
Security
Splunk Enterprise Security
Splunk SOAR
Observability
Splunk Observability Cloud
Splunk Infrastructure Monitoring
Splunk Application Performance Monitoring
Splunk IT Service Intelligence
Top Companies using Splunk
Some of the top customers include Intel, Lenovo, Honda, Zoom, Airbus, Yelp, Dominos, and Otto Group.
Also Read: Data Analysis certification courses
Talend
One of the top powerful data integration ETL (Extract Transform and Load) tools in the market, Talend is an open-source software integration platform that allows you to seamlessly manage all the steps involved in the ETL process. Their philosophy is to ensure healthy, clean data so that you have a clean healthy business (i.e. compliant, accessible, and accurate). They cater to a variety of industries such as finance, telecommunications, health care, retails, etc. Their services are also sought out by government bodies.
Some of the core functionalities of this data analytics tool are as follows
Data integration
Data analysis (provide accurately, analyzed data for decision making )
Data integrity and governance
Application and API integration
Suitable for cloud, multi-cloud, and hybrid environments
Products
Talend Data Fabric
Stitch
Top companies using Talend
Abinbev, Domino’s, Toyota, Lenovo, Citi, AstraZeneca, Metromile, New Castle University, etc.
QlikView
One of the best data analytics tools that emphasize the much-needed shift from passive business intelligence to active intelligence, Qlik is an American software company. It offers Data Analytics, Business Intelligence, Data Visualization, etc. The industries that seek its service include Communications, Healthcare, Finance, Retail, Life Sciences, Public Sector, Manufacturing, Tech, Consumer Products, Energy and Utilities, etc.
Products
Qlik offers a plethora of products and services catering to Data Integration, Data Analytics, and Developer platforms, etc. Some of these are:
Data Services
Hybrid Data Delivery
Data Warehouse Automation
Data Transformation
Application Automation
Analytics Services
Visualization & Dashboards
Augmented Analytics
Embedded Analytics
Alerting and action
Top Companies using Qlik
Some of the top clients include Novartis, Vanguard, Aggreko, Direct relief, Ford, Llyod, NHS, Paypal, Deloitte, etc.
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Apache Spark
This is a perfect data analytics tool for data analytics, data science, data engineering, machine learning on single-node machines or clusters. Created by the Apache Software Foundation, Apache Spark is a multi-language engine that is open-source and is used for real-time processing. It has an expansive open-source community and a great interface for programming. Apache Spark runs on standalone, in the cloud, Hadoop, Kubernetes, Apache Mesos, etc. It has the ability to provide high-level APIs in Python, R, Java, Scala, etc. When it comes to Big Data processing, Spark’s MLlib (the Machine Learning component) is quite proficient.
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Products
Apache Spark has a variety of products each year with new features.
Top Companies using Apache Spark
Some of the companies that use this data analytics tool are Verizon, Oracle, Hortonworks, Visa, etc.
Power BI
Part of the Microsoft Power Platform, Power BI is one of the best interactive data analytics tools which is adept at handling business intelligence. This data visualization software provides interactive data visualizations and self-service business intelligence solutions to end-users. This means that they can create dashboards and reports, all by themselves, without needing anyone's help. Take, for example, solutions like Office 365 + Power BI, Azure + Power BI which have immensely helped users in analytics, management, and protection of data across different office platforms.
Products
Some of the top products offered in this line are
Power BI Desktop
Power BI Embedded
Power BI Premium
Power BI Pro
Power BI Report Server
Power BI Mobile
Top Companies using Power BI
Some of the top companies utilizing this tool are GE Healthcare, Adobe, , Worldsmart, Heathrow, etc.
Also Read: Big Data Analytics certification courses
KNIME
Konstanz Information Miner (KNIME) is free and open-source data analytics, and integration platform built for analytics on a GUI-based workflow. What makes KNIME stand out from the crowd is that the user does not require previous programming knowledge to use the data analytics tool.
Products
The top software from KNIME is:
KNIME Analytics Platform – This open-source platform cleans & compiles data and makes it accessible to everyone as well as creates Data Science workflows.
KNIME Server – The clients can deploy Data Science workflows, team management, as well as automation with the help of this platform.
Top Companies using KNIME
One of the best data analytics tools in this article, KNIME has customers all around the world. Some of them are Novartis, Deutsche Telekom, Siemens, Continental, etc.
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RapidMiner
Another one of the best data analytics tools in this list, RapidMiner is a great platform for data processing, building, and deploying Machine Learning models. The latest version RapidMiner 9.6 has extended the platform for full-time coders and Business Intelligence professionals. This offers a fully transparent, end-to-end Data Science platform adequate for Machine Learning, data preparation, and model operations. Companies from almost all industries (energy, communication, finance, healthcare, CPG, Retail and E-Commerce, Life sciences, Manufacturing, Travel, Transport and logistics, etc,) employ the services of this platform. The services include Quality Assurance, Churn Prevention, Cognitive RPA, Product Propensity, Quality Assurance
Risk Management, Text Mining, Up- and Cross-Selling, Customer LTV, Customer Segmentation
Demand Forecasting, Fraud Detection, Next Best Action, Price Optimization, Predictive Maintenance
Products
The products of RapidMiner are as follows:
Studio
Real-Time Scoring
Radoop
GO
Server
Top companies using RapidMiner
Some of the top companies using this data analytics tool are HP, EZCater, BMW, Sanofi, etc.
Also Read: Data Analysis with R certification courses
R and Python
One of the top programming languages in the field of Data Analytics, these have emerged as one of the best data analytics tools for professionals. R - It is used generally for data mining and statistical analysis. You can use it for pattern recognition, development of practical models, software applications that perform statistical analysis, etc. Python - With python, you can develop and manage data structures effortlessly. Take for instance Pandas (an open-source Python package). It offers a variety of tools with which you can analyze, manipulate, as well as represent data structures and complex datasets.
Products
Both are free programming languages. You can easily download both of them from their respective official websites.
Top companies using R and Python
The list goes on. Some of the prominent companies are Google, Firefox use R, ANZ, YouTube, Netflix, Facebook, etc.
Also Read: Machine Learning and Data analytics certification courses
Tableau
One of the best data analytics tools for Business Intelligence, Tableau is a visual analytic tool that takes care of the hassle of data analytics. With Tableau the users can work on a live data set. Thus they spend less time on Data Wrangling and more time on Data Analysis. With Tableau, you get faster analytics, better and smarter Dashboards, automatic updates, relative ease of Use, ease of sharing via dashboards, etc.
Products
Some of the top products in the Tableau line are:
Tableau Desktop
Tableau Server
Tableau Online
Tableau Reader
Tableau Public
Tableau Prep
Tableau CRM
Top companies using Tableau
Some of the top companies benefiting from the services of Tableau are Skype, Audi, Citibank, Deloitte, etc.
Microsoft Excel
This list wouldn't be complete without our Microsoft Excel. One of the most popular Data Analytics tools, Excel is simple and efficient for many data analytics uses. The software provides you with features like sharing real-time collaboration, workbooks, direct data addition from photos, etc.
Products
The products offered by MS Excel falls into the following three sections:
For Home
For Enterprises
For Business
Top companies using MS Excel
It is hard to find companies that don’t rely on Excel. To mention some of them: IKEA, Marriot, McDonald’s, etc.
Conclusion
Master these data analytics tools and you are all set to go! These data analytics tools save humanity time and give quality. The ever expanding landscape of data will make these latest ones obsolete soon. And new ones will emerge. The best thing you can do is to keep pace and be updated with the latest data analytics tools. All the best.
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Frequently Asked Questions (FAQs)
You become an asset for the workforce anywhere you go, if you are an expert in these tools of data analytics. Businesses require professionals who can use these data analytics tools to their maximum potential. That could be you.
There are different stages in business analytics. Enormous amounts of data are processed every day. Depending on this the type of analysis may vary. The five major types of analytics are Descriptive, Diagnostic, Predictive, Prescriptive, and cognitive analytics.
The 5 V in big data are as follows: velocity, volume, value, variety, and veracity. These are five crucial characteristics of big data. If you have a thorough knowledge of them, then you can derive more value from data. Your business will also become more consumer-centric, which is always good.
Master the above-mentioned tools of data analytics and these would be your career paths:
Data Architect
Logistics Analyst
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