What is the Best Statistical Analysis Software?
Statistical Tools in Research
Discover the best statistical analysis software that allows users to collect, structure, analyze, and interpret data from the market including support data management capabilities, enabling users to carry out analysis methodologies, such as predictive analysis, regression analysis, and statistical modeling, among others
Planning and executing any experiment are crucial but is only half the battle. It’s analyzing all the data that’s the other half, and perhaps the scariest.
But it doesn’t have to be scary.
An excellent statistical analysis software allows users to collect, structure, analyze, and interpret data from the market. It comes with tools to support data management capabilities, enabling users to carry out analysis methodologies, such as predictive analysis, regression analysis, and statistical modeling, among others.
Performing complicated statistical analysis of data won’t be as challenging anymore.
This article is about the best statistical analysis software you’ll find in the market. Read on if you want to cut down your manual processes and handle information and data smartly and more efficiently instead.
When Should You Invest in the Best Statistical Analysis Software?
From business professionals to statisticians—anybody who wants to find correlations, analyze variance, regression, and other kinds of complex data manipulation or analysis will benefit from getting statistical analysis software.
However, the question arises whether you really need statistical analysis software.
Here are two instances where you definitely should:
You should consider investing in a statistical analysis software tool to identify duplicates and unusual cases during data collection and data cleaning. Getting detailed data analysis reports is another plus.
The following are the advantages:
1) For getting company data insights: Data professionals gain insights into company data through data mining and statistical analysis by using other technologies such as machine learning along with the software.
2) Managing large volumes of data: Statistical analysis software allows users to easily prepare, combine, and analyze company data using a repeatable workflow. They can then deploy and share analytics at scale.
3) Gaining a deep understanding of potential outcomes and scenarios: The software allows businesses to understand how different variables will affect them–similar to predictive statistical analysis–and strategize accordingly.
4) Industry-Based Scenarios: Data is ubiquitous today. Sectors like healthcare and higher education always have a ton of data, making its handling a little confusing. But with statistical analysis software and its industry-specific features, the whole process becomes more streamlined.
5) Research: Statistical analysis can help solve challenging research problems. Researchers use this software tool to identify historical trends and get deeper insights into their research. The easy handling of a large volume of data in multiple formats is another important advantage.
6) Healthcare: Healthcare professionals deal with life and death, which makes time very precious for them. With the software in place, the professionals can better understand health-related data and improve efficiencies in hospitals to manage and contain diseases, along with several other advantages.
7) Higher Education: People in the higher education industry use statistical analysis software to analyze data, obtain insights, and find relevant data trends–all within a considerably shorter amount of time than without the software.
Users invest in a statistical analysis tool to gain business intelligence, which, in turn, allows them to make better-informed decisions backed by insightful data.
The Best Statistical Analysis Software
1) IBM SPSS – Best for beginners
2) Minitab – Best for colleges and universities
3) Stata – Best all-in-one statistical analysis solution
4) SAS/STAT – Best for business intelligence and scalability
5) JMP – Best for targeted customer segmentation and market research
Read more here.