Significance Of Report Generation In Data-based HR Analytics

The average HRM function sits on a data gold mine, which, if effectively used, can open new routes to success. One of the major factors facilitating data-based HR analytics is the advancement of أنظمة إدارة الموارد البشرية السحابية، through technology. With the latest HR system in place, HR managers easily access recruitment data, career progression data, training data, absenteeism figures, productivity data, personal development reviews, competency profiles and staff satisfaction data. But will the data alone suffice for reliable HR analysis? To answer that question, here is why report generation is a must-have for data-based HR analytics. 

Significance Of Report Generation In Data-based HR Analytics

Efficient Decision Making 

An effective HR cloud-based software can give access to enormous amounts of data depending on the features built. However, raw data cannot be of much use unless analysed. This is where report generation comes in. Report generation enables the easy collection of data, taking in data from various HR sources and extrapolating it in tables, charts, visual presentations, and other styles so that the information is easier to parse.


This report generation firstly speeds up HR decision-making and secondly reduces the amount of manual intervention, labour hours or staff required for the manual collection and formation of data to support decision-making. 


Usually, for HR staff to collect data and interpret them into a summary or meaningful brief is tedious. This nature can be even more complex in the situation of a large-scale company with different types of data to handle. This time-consuming process can risk an HR department with many opportunities, because of delayed decision-making.

Easy Comparison

One of the best things about report generation in data-based HR analytics is its versatility which supports easy comparison. With report generation, you can compare reports to previous years in a matter of seconds and in a very simple and straightforward manner. You can also specifically decide which kind of data needs to be compared, is it employee productivity, turnover, results,  wellness indexes or any other? 


Psychologically, graphical representations are easier for data comparison because it’s a visual medium.  Using report generation in data-based HR analysis, HR managers can easily compare present data to data from previous years. This enables HR teams to be more informed and more strategic with their decision-making, avoiding mistakes made in previous years and understanding which approaches work the best according to the available data.

Effective Tracking Of Employee Engagement 

One of the major reasons why employee engagement drops are delayed appraisals and actions taken towards addressing deteriorating employee performance. With report generation, employee performance-related data can be easily analysed and put into a clear simple understandable format. This helps HR managers easily spot grey areas that employees are facing challenges and take proactive initiatives in terms of training and development before the situation becomes complex. 


With report generation, HR managers can link other employee data that are aligned with performance and see the relationship between that and employee engagement. For example, through the use of report generation in the form of graphs, the influence of negativity on performance or the influence of workplace safety on absenteeism can be easily analysed and even compared. As such, these report generations through an effective HR platform can easily help an HR department be proactive and involved in tracking and improving employee engagement levels.

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