Top 5 HR Analytics Tools That Every HR Should Know
                     Top 5 HR Analytics 
Tools That Every 
HR Should Know
To become the best in HR industry, hone your skills in the essential 
HR tools. Here are some
R
The most used tool for HR analytics is R. One can utilize R for 
diving into large data sets and statistical analysis and visualization. 
Millions of rows of data can be analyzed and cleaned with it. 
Additionally, it enables you to visualize your findings and data.
RStudio is a well-noted Integrated Development Environment (IDE) 
for R. Software that offers extra features for data analysis and 
software development is called an IDE. Hence, it is easier to use 
the software.
In a nutshell, RStudio does all of R's functions, but better. A code 
editor, the R console, a workspace that is easily accessible, a 
history log, and space for plots and files are all included in the 
RStudio interface. All in all, R is an excellent tool for analyzing and 
visualizing vast amounts of data.
Python
R is interchangeable with Python, another computer language. 
There is a lot of discussion in the data science community on 
which of the two will be the preferred tool for data scientists.
R is more adept at doing statistical analysis, has a more vibrant 
statistics community, and works better for visualizations. 
However, Python is simpler to learn and has just somewhat fewer 
features.
PyCharm and Spyder are frequently used IDEs. What RStudio is to 
R, these tools are to Python. 
These open-source IDEs give data scientists all the Python tools 
they require. Data science is the focus of Spyder, which stands for 
Scientific Python Development Editor. It consists of an advanced 
editor, an interactive console, documentation viewer, along with 
advanced development tools that with the option of visualization.
Excel
The fundamentals should not be overlooked while discussing HR 
analytics technologies.
Most of us began with Excel. Data that is manually extracted from 
any of your HR systems usually appears as a comma-separated 
value (CSV) dataset. Excel makes it simple to open and edit these 
files.
Excel has the advantage of being incredibly user-friendly and 
intuitive for the majority of us HR data experts. For instance, you 
may rapidly turn a dataset into a table and look for outliers in each 
column's data range to see how clean your data is.
Power BI
Microsoft holds the top position in Gartner's Magic Quadrant for 
Business Intelligence. For this reason, we used Power BI from 
Microsoft. It helps in effectively simplifying data aggregation, 
analysis, and visualization.
Connecting to numerous source systems, like as machine learning 
APIs, live Twitter feeds, or SQL databases containing people data, 
is simple with Power BI. Power BI then integrates all of these 
disparate data sources. You can integrate several data sources into 
a single, sizable database that is appropriate for reporting or 
analysis by using this straightforward aggregation procedure.
A pivot table can then be made using the combined data (using 
Power Pivot). This enables you to quickly gain insight on important 
aspects of your staff. With the help of Power BI’s capacity for 
dashboarding, that same data. Thanks to the capacity of Power 
BI's dashboard, that same data can then be transformed into a 
dashboard as too.
Tableau
Because it allows for the collection and visualization of multiple 
data sources, Tableau is a lot like Power BI. The software, which 
was first developed in 2003 as a for-profit outlet for Stanford 
University research, has become a sensation in the visualization 
industry.
In terms of visualization, Tableau is possibly the greatest business 
intelligence (BI) solution available. From 2012 to 2019, it was listed 
in the Gartner Magic Quadrant for seven years in a row.
Conclusion
It is important understand what HR tools can be the most 
beneficial for your job role. 
An HR Analytics training can help you learn about the most in-
demand and efficient tools, their applications and how they make 
your job easier.
Slide End and Resource
Resource:  
https://mindcypress.com/blogs/human-resource-management/to
p-5-hr-analytics-tool-that-every-hr-should-know
  
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