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HR analytics is the process of collecting, refining and analyzing the collected data in order to improvise an organization’s workforce performance. According to the recent report by Deloitte, 75% of companies believe in the importance of human resource analytics, yet only 8% believe they are ready to embrace them. The workforce analytics can play a vital role, helping companies understand employees better and map their behavioral trends.
It has now become imperative for organizations to understand the metrics in HR analytics. With analytics taking over each domain, it is important that we understand the significance of using anakytics in making major HR decisions. The business performance of any organization can be boosted using HR Analytics, especially when proper metrics are applied to pertinent and reliable data.
Keeping that in mind, let’s discuss some of the major challenges involved while applying HR Analytics to your existing HR process.
Overflow of Data
While collecting data at a rapid speed, there is a higher tendency to collect irrelevant data, which leads to overflowing of data. It is hard to use appropriate data when it is irrational.
Better results can’t be expected if the amount of collected data is huge, rather it has to be relevant. One can not apply the right analytics with rough collection of data; else your organization will lead to bloated results. It is vital for organizations to refine and categorize the right analytics applied to collected data, in order to get expected results.
Quality of collected data
While collecting data, data experts should carefully keep both data quality and quantity in mind. A data overflow can directly lead to an accelerated collection of rough or irrelevant data, making it hard to associate between different data sets.
There has to be an assurance with regards to data integrity and security, in order to guarantee data quality. In most of the organizations, inconsistency is one of the most common problems faced in the generation of departmental data. There are massive chances of data being missed or lost or ignored resulting in scarce analysis.
Lack of analytical approach
In today’s analytical era, it is imperative for professionals to be well-versed with analytics. For organizations, hiring people well-equipped with adequate analytical knowledge is extremely important, especially in times like these when HR domain is transforming and taking HR to another level. For HR Analytics to succeed, it is essential for the team to possess a fine blend of HR and data analytics.
We understand that analytics is new to many professionals who have been working in the industry for the longest time. Executive Certificate Program in HR Analytics with IIM Rohtak focuses on the applied methods and techniques with an output orientation for improving the human resource functions in large scale organizations. The course is designed carefully for working professionals, keeping in mind the state of the art industry trends and analytical tools. Nulearn, as their admission and technology partner also offers 15 hours tableau training post the completion of your course. It’s time to take a step ahead in your career with Nulearn.
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Published on January 03, 2021
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