Top Data Analytics tools to look for in 2023 and Beyond

The data generated daily has increased massively over the years, with nearly 2.5 quintillion bytes generated daily. This data is beneficial in making crucial business decisions, gathering insights, and providing data-based solutions.

Data Analysts are using this data regularly, thus the advent of Data Analytics. Data analytics in Finance, eCommerce, Media, and whatnot is everywhere.

To solve the issue of transforming or converting raw data into useful and valuable information and to work on data analysis projects, there exist numerous Data Analytics tools in the current scenario.

The info could be crucial in making data-driven business decisions. A data analyst’s key responsibility is gathering insights from data; to do so, they must use the various data analytics tools available.

But how to decide which data analytics tool to choose?

This blog discusses the top data analysis tools one can use to increase efficiency.

Tableau

Tableau is a BI Tool developed for data analysts where they can analyze, visualize, and understand their data. Tableau provides fast analytics and can explore broad data types like spreadsheets, databases, and data on Hadoop and cloud services. It is easy to utilize, as it has a robust GUI. It can build effective interactive dashboards with very less effort. Tableau is a market laggard and lets you work on live data rather than spending too much time and effort on data wrangling.

Tableau is always looking to enhance and improve its services. It has come up with updates to provide users with intelligent dashboards, ease of use, fast analytics, explore data, publish a dashboard to share it live on web or mobile devices, and update automatically. You can take a free online course on a tableau to enhance your skills in this data analysis tool.

The products included under Tableau are Tableau Desktop, Tableau Server, Tableau Reader, Tableau Online, and Tableau Public. Companies utilizing Tableau — Skype, Citibank, Deloitte, and Audi are a few companies that use Tableau for their Data Analytics needs.

QlikView

QlikView is a Data Visualization, Self-Service Business Intelligence, and Analytics tool. It aims to accelerate business value via data by offering data Literacy, data integration, and Data Analytics. It offers a wide array of products for its users, out of which a few are available for a free 30-day trial period.

It offers quick decision-making and disparate features to run ad hoc queries. It has an impeccable response time and also has no boundations to the humongous amounts of data. QlikView is also advantageous for identifying information and trends to make the most effective business decisions. It is cost-effective and economical. Here are some of the organizations that are utilizing QlikView are NHS, CISCO, and SAMSUNG.

Power BI

Power BI is yet another robust business analytics solution by Microsoft. You can visualize your data, connect to numerous data sources and share the outputs across your enterprise. With Power BI, you can bring your data to life with live reports and dashboards. Power BI can be easily integrated with other Data Analytics Tools such as Microsoft Excel.

It offers Azure + Power BI solutions and Office 365 + Power BI. This can be extremely helpful in allowing users to perform data analysis, protect their data across numerous office platforms, and connect data. Here’s some of the organizations that are using Power BI are Adobe, Heathrow, GE Healthcare, and more.

Some of the products under Microsoft Power BI are as follows-

• Power BI Desktop
• Power BI Pro
• Power BI Embedded
• Power BI Premium
• Power BI Mobile
• Power BI Report Server

Python

Python is one of the most potent Data Analytics tools available to the user. It comes with a comprehensive set of packages/libraries. Python is absolutely free, open-source software that can be utilized for a high level of visualization and comes with packages such as Matplotlib and Seaborn. Pandas is one of the widely utilized data analytics libraries with Python. Most programmers prefer to learn Python as their first language due to its versatility and ease. It is a top-level, object-oriented programming language.

There are numerous applications of Python across multiple platforms. Whether we are browsing through Google, Instagram, or YouTube, each application uses Python for its programming requirements. Python is useful for web dev as it is less time-consuming and has a simple syntax. Python supports frameworks such as Flask, Falcon, Django, Web2Py, Pyramid, Sanic, and more. A few multinational companies, such as Netflix, YouTube, and Facebook, use Python as their programming language.

SAS

SAS is a statistical software suite widely utilized for predictive analysis and data management. SAS is proprietary software, and organizations need to pay to utilize it. The good SAS programming knowledge is an added advantage to using the tool.

SAS’s DATA step — The data step is where data is curated, imported, modified, merged, or calculated) helps with inefficient data handling and manipulation. Companies using SAS — Commonly known companies using SAS are Google, Twitter, Accenture, and Genpact.

Final Thought

This brings us to the conclusion of the blog on top Data Analytics Tools in 2023. We hope that you found this helpful. If you found a tool on this list that you didn’t know about, why not research more? Play around with the open-source data analysis tools (they’re free, after all!) and read up on the rest.

At the very least, it assists to know which data analytics tools organizations use. Get in touch with us at Polestar Solutions to learn more about the field.