Last Updated on November 29, 2022 by Mamoona Mushtaq
The term ‘DATA’ has been in use for centuries now. But it is only today that we can create 2.5 quintillion bytes of data daily, and this data is crucial for decision-making. Turning this data into insight takes effort; hence, several companies need to deploy data analytics solutions. For the data analyst to work well, specific tools are mandatory. And it is the responsibility of the management to understand the various tools available and provide the best ones to the data analyst for appropriate work.
In this post, we will discuss methods to look for the best Data Analysis Tools and some recommendations per our experience.
Steps to Find the Best Data Analysis Tools in 2023
Businesses that are still in the process of accumulating more data need data analytics tools to get insights. Here are the steps to determine the best tools as per your needs.
1. Determine the Work:
Each company needs data insights for various reasons. It is essential for businesses first to understand the purpose of the data and what they want to extract from it.
2. Technical Knowledge Needed to Use the Tool:
Depending on who uses the tools to derive insights, your choice should change. A data analyst or scientist can get more information from data using extensive data analysis tools. On the other hand, non-technical users would need a more intuitive tool.
3. Check the Support Function:
Each tool offers a support function, and you must look at reviews about their support feature. It is easier to learn a new tool for a working-level understanding if there is a product demo and consistent support in case of need.
4. Tool’s Modeling Abilities:
Each tool you find will have distinct modeling capabilities. Some tools offer a semantic layer or have provisions for data modeling without human intervention. If you have a tool that does not provide data modeling, you will need to use other applications like SQL to model data before you analyze it.
5. Pricing and Licensing:
Free and paid tools for data analytics solutions are available online. So, check for the licensing or subscription fees. Decide on whether you want to invest in the tool or want to rely on a free one. If you decide to use a paid tool, you must also determine the amount you are willing to pay.
6. Check their Reviews:
While several applications will offer you the world, it is up to you to practice due diligence and browse through authentic reviews to get results. It is easy to fall prey to a company’s promises, missing out on the other factors that are relevant to the business. Only by comparing and contrasting the various options and looking at reviews can you find the ideal tool for your needs.
The Ultimate List of Tools for Data Analytics Solutions in 2023
Now that you know what to look for in a data analysis tool, it is time to move to the next step. Here is a list of tools that are excellent contenders for companies that want to leverage data for decision-making.
1. Microsoft Power BI
Microsoft Power BI is among the best business intelligence platforms that get support from several data sources. The tool helps users create and share reports, offers data visualization, and has dashboards.
Moreover, users can combine dashboards and reports into the Power BI app for distribution. Lastly, the application also has provisions to build automated machine learning models and can get integrated with Azure Machine Learning. Hence, the tool is also ideal for companies leveraging AI ML services in their data interpretation. Companies that need big data analytics generally, rely on this tool for the job.
2. Tableau
Tableau is among the most renowned business intelligence tools for analyzing and visualizing data and boosts an easy format. The tool lets the users work on a live data set, allowing more bandwidth for data analysis than data wrangling.
Tableau products include desktop, server, online, reader, and public. Tableau Public is free software, but you will need Tableau Server so everyone can view the reports. The tool is currently focusing on providing regular updates to provide better services.
3. Metabase
Metabase is an open-source analytics tool that users can ‘ask questions’ about data, meaning that non-technical professionals can use the point-and-click interface to draw conclusions. It is an ideal tool for simple filtering and aggregations. However, for more technical users, the application holds nothing of value. Lastly, Metabase can share analytic results with external systems.
Final Thoughts – Turn Your Data into Conclusions
With the right vision, your business can expect considerable growth with data interpretation. So, take the time to research several data analytics solutions and find the best one for you. Moreover, you can hire MoogleLabs for data analytics services. Hiring professionals for the job means you would not have to worry about getting the right tools and in-house experts.
