Here's an Exclusive List of the Best Data Analytic Tools on the Market

However, the challenge is to choose the best data analytic software available to get the maximum benefit for your analytical work. We have simplified this task for you by listing the best type of analytical tools, explaining how they function, and detailing the primary features of each tool type.

What Are Data Analytic Tools?

Data analyst tools are software and applications that data analysts use for data analysis and interpretation. After performing analytical processes, analysts use insights from the data to help their employers or clients make more cost-effective and impactful business decisions.

The Best Data Analytic Tools

These types of data analytic tools can make a data analyst's job of deciphering complex data sets much easier, faster, and more productive.  

1. Business Intelligence Tools

Business intelligence tools provide the standard means for data analysts to conduct most business analytics, including analyzing, monitoring, and reporting insights. In addition, they offer predictive analytics, advanced SQL modes, and self-service. Without much IT input, analysts can use business intelligence tools to detect trends and make more strategic decisions.

2. Statistical Analysis Tools

Statistical analysis tools allow data analysts to use statistical methods to isolate trends, relationships, and patterns in data for better decision-making from data analytics. The most popular types of statistical analysis tools are:

• Data visualization tools that create charts and tools
• Spreadsheet software for performing standard statistical functions like median, mean, and standard deviation
• Statistical software packages that perform intricate analyses like hypothesis testing, ANOVA, and regression analysis
• Quality control data analytics software like Six Sigma and Lean

3. Qualitative Data Analysis Tools

While data analysts typically operate in an environment of numbers, non-numerical information can also be a valuable contributor to analytical insights, especially for businesses. Qualitative data analysis tools allow analysts to accurately interpret large amounts of qualitative data from many sources, including surveys, emails, interviews, customer feedback forms, and social media reviews.

4. SQL Consoles

SQL consoles allow data analysts to use SQL programming language to manage/query information from relational databases. As a result, analysts can thoroughly evaluate structural data. This capability is why SQL consoles are vital to business success. In addition, learning SQL can be a career-advancing asset for analysts.

5. Data Modeling Tools

You can use data modeling tools to structure a database and create business systems with the help of symbols, diagrams, and texts to show the inner connections of data streams. With its capability, you have the power to discover, analyze, and edit information housed in a software system or other application - a powerful asset to advancing business objectives.

Enhancing the Power of Data Analytical Tools

Once you've chosen the type of data analytic tool you need to optimize your business's operation, you can amplify their benefit with a robust iPaaS platform like Lumino. With an impressive suite of integration features, our iPaaS platform can facilitate data integration between your source systems and your data analytics tools and streamline the process. Read more about Lumino.