Over the years, the holy grail of Data Analytics has primarily been limited to a few niche enterprises using proprietary business intelligence technologies. Data generation was once complicated, as was data collecting & curation. Then there was the big data revolution, fueled by hardware bloom. This resulted in the development of Data Analytics Tools.
These Tools became popular since insights enabled businesses to obtain a competitive advantage. Companies with superior Analytics with structured data are used to differentiate themselves, but thanks to Machine Learning approaches, organizations that harness insights from unstructured data are ahead of the competition.
As a result, Data Analytics Tools increasingly use Artificial Intelligence for natural language understanding to deliver in-depth insights rapidly.
Some Top-Rate Data Analytics Tools
1. Power BI
One of the most popular Data Analytics Tools is Microsoft’s Power BI. Power BI has been around since the beginning of the data revolution. While many Data Analysis Tools became obsolete, Microsoft ensured that Power BI continued to evolve & meet changing business needs.
Power BI, which began as a simple analytics tool, is now packed with Machine Learning capabilities for sentimental analysis & seamlessly interacts with other platforms to streamline analytical operations. Power BI goes a step further by turning knowledge into action by utilizing Microsoft Power Platforms to create business apps.
Organizations may use Power BI to add sensitivity labels to data, comply with data protection regulations, & improve departmental cooperation. Microsoft also unveiled a library to integrate Power BI reports with Jupyter notebooks, one of the popular data science tools, at Microsoft Build 2021.
2. Tableau
Tableau Software, founded in 2003, has numerous customers, including Fortune 500 companies, because it was a pioneer in supporting online & on-premises workflows. It has been a direct competitor to Power BI due to its ease of use & improved user experience.
Although Power BI has an advantage due to Microsoft’s resources, it outperforms Power BI in terms of enabling big datasets & custom visualizations without the need for coding.
This one of the Free data analytics tools server designs also allows for greater customization to meet the diverse needs of businesses. This is what distinguishes Tableau for learners & other professionals. However, appealing dashboards can be shared with those who do not have Tableau installed.
3. ThoughtSpot
With its search-based insights, ThoughtSpot is changing the way businesses analyze data. ThoughtSpot, unlike standard Data Analytics Tools, focuses on natural language processing.
To visualize your data, ask the appropriate inquiry in plain language. ThoughtSpot displays visualizations & other unique insights automatically, which you may use to create reports or dashboards.
Data analytics has always been more complex than a Google search. Other Data Analysis Tools facilitate insights delivery through search; however, they often fail to produce results when complex inquiries are asked.
ThoughtSpot will never let you down when it comes to analyzing data with complex queries, even on terabytes of data, making it more effective than most analytics solutions.
4. Oracle Analytics
By delivering AI-based insights based on the data you provide, Oracle Analytics goes above and beyond conventional drag-and-drop data analytics tools. It anticipates your demands and automatically generates the right inquiries. With a few clicks, you can predict future results using Oracle Analytics.
Oracle’s ability to advance predictive analytics makes it essential for businesses looking to enhance insight delivery with superior machine learning techniques.
In order to enhance your current data for better analysis, Oracle Analytics also uses data from reliable public sources to create new columns, such as the population totals for various states.
5. Google Looker
Looker, which Google acquired for $2.6 billion in 2020, is a promising data analytics tool gaining popularity due to its ease of use.
Because businesses increasingly rely on the cloud for nearly all operations, Looker, a wholly cloud-based service of Google Cloud computing, allows for seamless interaction with other cloud services.
In addition to simple interfaces with other applications, Google Cloud Platform provides improved customer data flow management by employing Looker to regulate how data is utilized while preserving data privacy & security.
6. Google Analytics
One of the best data analysis tools for examining website traffic & user behavior is Google Analytics. Google Analytics can be utilized for streaming analytics without the need for data engineers to build data pipelines, in contrast to other data analysis tools that require data cleansing before discovering insights.
To extract the data from the website & analyze it according to business needs, a short piece of JavaScript code is used.
Today, organizations in the media & entertainment industry, e-commerce, and fintech rely on website data to enhance their goods & services & drive revenue development. With just a few clicks, you can obtain insights with Google Analytics’ remarkable capabilities.
7. Google Data Studio
One of the most famous and free data analytics tools for dashboarding & data visualization is Google Data Studio. Nearly all other Google services, such as Google Analytics, Google Ads, & Google BigQuery, are compatible with it.
Data Studio is the best option for customers who need to evaluate their Google data because of its interaction with other Google services. In order to analyze customer conversion & retention for their Google Ads and Analytics outcomes, marketers may, for instance, build dashboards.
8. Metabase
Open-source analytics & business intelligence platform Metabase is free. Data exchange & dissemination among peers are essential functions of the business intelligence platform Metabase. The code is open source, so it can be changed & applied in many ways to aid in better understanding the data.
Through a point-and-click interface, Metabase enables non-technical users to create searches that “ask questions” about data. Dashboards facilitate sharing data & drawing inferences from it.
For straightforward filtering & aggregations, this works well; for more intricate analysis, more technically savvy users can go straight to raw SQL. Additionally, Metabase has the ability to transfer analytics data to external platforms like Slack.
How To Select A Data Analysis Tool For Your Business
Big Data has so many different use cases & applications that it’s challenging to develop a clear set of selection criteria for the top Data Analytics Tools. Here are some key considerations for selecting the finest data analysis tools:
In-Line with Business Goals: Both present & future companies should be catered for by your analytics tools. You must make a list of the primary goals for your business as well as the expected organizational outcomes.
Tracks Your Budget: Before choosing an analytics tool, you must be fully aware of the budget associated with the Data Analytics Tools you are examining, including subscriptions, growth, & hidden fees.
Examine User Experience: An intuitive user interface for self-service analytics should be available for a range of users. It must be simple for even non-technical people to create & understand dashboards and reports.
Integrations Support: When selecting an analytics tool, you must consider whether a standalone or integrated solution is better for your business. You have a variety of options when using standalone solutions, but integrated solutions let you access analytics through tools that your clients are already familiar with.
Security Standards: If you want to be sure that the necessary security measures are in place to protect your data, you must evaluate the security of your vendor & analytics provider.
FAQ
Q: Can I use these Data Analytics Tools for free?
A: There are some choices that can be used for free. A premium version comes with more features.
Q: Do I need to hire a data analyst to use them?
A: These tools are designed to serve the needs of Data Analysts. If you have such expertise, you can handle them, too.
Q: What type of machine do I need to run these tools?
A: Any machines with an updated OS, a decent amount of RAM & storage can run these tools.