The best data analytics software is only as good as the person running the technology. As an increasing number of professionals with limited education and training gain access to better technologies, companies find themselves finding shortcuts with cloud computing and data analytics software programs. Here we’ll examine some of the best data analytics software program options on the market, and why each option is worth considering for your company’s data needs.
Choosing Data Analytics software for your business can be confusing. Not anymore! You’ll find details on the best programs that track sales, customers, social media activity, converts converts, referrals and more.
Excel
Excel is a versatile Analytics tool that works best for small data, and with plugins, it can manage a large amount of data as well. It has powerful features like form creation, PivotTable, VBA, etc. Excel has a large system that ensures that people can use it to analyze data according to their requirements.
Tableau
It is one of the best Data Analytics tools that can be used for businesses. Its core feature is the PivotTable and PivotChart of Excel. Tableau is a powerful visualization Analytic tool that has an added data cleaning function that enables it to perform analytical functions efficiently.
Qlik Sense
Qlik Sense is a top choice among modern data analytic tools as it uses Machine Learning and Artificial Intelligence to enhance the quality of data mining and processing. It is a cloud-agnostic Analytics software, so organizations can deploy this Data Analytics tool and technique to any cloud in their multi-cloud infrastructure. It stays flexible and strong across the public, private, and hybrid clouds.
ThoughtSpot
ThoughtSpot acts as a next-generation ‘search first’ Data Analytics tool, earning itself a spot on the Best Data Analytics tools list. Among the many compelling features offered by ThoughtSpot, an AI-based recommendation system that leverages crowdsourcing is its key feature. Its search interface enables easy query of complex questions and analyzes billions of data arrays with Artificial Intelligence.
Altair
Platform: Altair One
Related products: Altair Monarch, Altair Knowledge Hub, Altair Knowledge Studio, Altair Panopticon
Description: Altair offers an open, scalable, unified, and extensible data analytics platform with integrated data transformation and predictive analytics tools. Desktop-based data preparation is available via Altair Monarch, while Knowledge Hub features team-driven data prep and a centralized data marketplace to speed collaboration and governance. Machine learning and predictive analytics are made available inside Knowledge Studio. Altair Panopticon houses the company’s streaming processing and real-time visualization capabilities.
Alteryx
Platform: Alteryx Platform
Related products: Alteryx Designer, Alteryx Server, Alteryx Connect, Alteryx Promote
Description: Alteryx is a self-service data analytics software company that specializes in data preparation and data blending. Alteryx Analytics allows users to organize, clean, and analyze data in a repeatable workflow. Business analysts find this tool particularly useful for connecting to and cleansing data from data warehouses, cloud applications, spreadsheets and other sources. The platform features tools to run a variety of analytic jobs (predictive, statistical, spatial) inside a single interface.
AnswerRocket
Platform: AnswerRocket
Description: AnswerRocket offers a search-powered data analytics platform designed for business users. The product enables you to ask business questions in natural language, and no technical skills are needed to run reports or generate analysis. AnswerRocket features a combination of AI and machine learning, as well as advanced analytic functionality. The platform can also automate manual tasks and answer ad hoc questions quickly. AnswerRocket is mobile-friendly and includes native voice recognition.
DATAPINE
KEY FEATURES:
Visual drag-and-drop interface with an easy switch to advanced SQL mode
Powerful predictive analytics features and interactive charts and dashboards
Intelligent alarms that are triggered as soon as an anomaly occurs
datapine is a popular business intelligence software, that is focused on delivering simple, yet powerful analysis features into the hands of beginners and advanced users that need a fast and reliable online data analysis solution. An effective user interface will enable you to simply drag-and-drop your desired values into datapine’s Analyzer and create numerous charts and graphs. If you’re an experienced analyst, you might want to consider the SQL mode where you can build your own queries but also easily switch back to the visual mode. Another crucial feature is the predictive analytics forecast engine. While there are numerous predictive tools out there, datapine’s provides simplicity and speed in its finest. By simply defining the input and output of the forecast based on specified data points and desired model quality, a complete chart will unfold together with predictions.
We should also mention robust artificial intelligence that is becoming an invaluable assistant in today’s analysis processes. Neural networks, pattern recognition, and threshold alerts will alarm you as soon as a business anomaly occurs so you don’t have to manually analyze large volumes of data – the data analytics software does it for you. Easily share your findings via dashboards or customized reports for anyone that needs quick answers to any type of business question.
STATISTICAL ANALYSIS TOOLS
Referring to computation techniques that often contain a variety of statistical techniques to manipulate, explore, and generate insights, there exist multiple programming languages to make (data) scientists’ work easier and more effective. With the expansion of various languages that are today present on the market, science has its own set of rules and scenarios that need special attention when it comes to statistical data analysis and modeling. Here we will present one of the most popular tools for a data analyst – R programming. Although there are other languages that focus on (scientific) data analysis, R is particularly popular in the community.
R PROGRAMMING / R-STUDIO
KEY FEATURES:
An ecosystem of more than 10 000 packages and extensions for various types of data analysis
Statistical analysis, modeling, and hypothesis testing (e.g. analysis of variance, t test, etc.)
Active and communicative community of researches, statisticians, and scientists
R is one of the top data analyst tools that is usually referred to as a language designed by statisticians. It’s development dates back to 1995 and it’s one of the most used tools for statistical analysis and data science, keeping an open- source policy and running on a variety of platforms, including Windows and macOS. RStudio is by far the most popular integrated development environment. R’s capabilities for data cleaning, data reduction, and data analysis report output with R markdown, makes this tool an invaluable analytical assistant that covers both general and academic data analysis. It is compiled of an ecosystem of more than 10 000 packages and extensions that you can explore by categories, and perform any kind of statistical analysis such as regression, conjoint, factor cluster analysis, etc. Easy to understand for those that don’t have a high-level of programming skills, R can perform complex mathematical operations by using a single command. A number of graphical libraries such as ggplot and plotly make this language different than others in the statistical community since it has efficient capabilities to create quality visualizations.
R was mostly used in the academic area in the past, today it has applications across industries and large companies such as Google, Facebook, Twitter, and Airbnb, among others. Due to an enormous number of researches, scientists, and statisticians using it, R has an extensive and active community where new technologies and ideas are presented and communicated regularly.
Conclusion
Data analytics is the process of collecting, analyzing and interpreting data in order to make informed decisions and predictions about business and societal trends. Data analytics often utilizes software programs that help organizations evaluate and improve processes.