How To Get Started With Implementing HR Analytics?

  • By Ashish Trikha
  • 30-01-2019
  • Misc
hr analytics
Analytics in HR is an excellent tool that allows HR professionals to monitor and manage challenging areas in their organization actively. But if you are yet to device a strong analytical system in your HR strategy, here is how you can get started.
For a lot of people, it is good to see improvements in something that has earlier been causing an issue.
However, to see these improvements, you would first require to highlight that there is an issue, collect the facts or data and then observe areas that change over time and it is where analytics in HR comes into play.
Steps to Get Started incorporating HR Analytics:
1. Research Relevant Data
One of the critical steps to take when implementing HR analytics is that you only research data that is relevant to the objectives of the organization.
By observing the direction that you want your organization to head towards and the key performance indicators that fit alongside those, you can make sure you are examining the areas that really need to be monitored and enhanced for the business to succeed. Whatever data you are going to investigate requires to be of strategic value to your business, or it will be a waste of time and energy.
2. Try Different Analytical Tools
With more and more analytical tools becoming available on the market that allows users to combine successful data mining methods, data transformation methods and data visuals with a simple self-service interface, it is now easier than ever to explore your data rapidly and get an action plan together to advance.
Historically, various issues arose from a lack of data.
An article by Visier exhibited that 44% of the organizations believed that a lack of sufficient investment in HR Analytical Systems made HR analytics more challenging and 54% said that incorrect, uneven or hard to access data which needed too much manual handling caused issues also; both of these problems can be addressed merely with the right analytical system and support.
3. Develop an Action Plan
With the right analytical tool and appropriate data, you will be armed with the essential ingredients to create a robust action plan to deliver to the clients of your organization.
Human Resource leaders are advised to implement big data and predictive analytics to talent, leadership, and organizational capabilities.
People usually need to see proof of why something is taking place, so, to have an action plan in place can actually benefit by assisting people to understand the reasons.
4. Streamline the Process
Analytics can vary from simple data arrangement too complicated projects based on what result you desire.
You may require making some decisions initially to decide the intended model and approach before you can proceed and mine the data.
You would then require checking the quality of the data and cleaning everything up, so it is in a legible and understandable format.
5. Have the Right Skillset
According to a Harvard Business Review Research Project, it was found that 47% of organizations believe one of the biggest hurdles that a business faces when it comes to “achieving better use of data, metrics, and predictive analysis by HR professionals” is lack of analytic insight or skills among employers.
Strategic value is where a buyer can make more from an organization than it would have otherwise realized.
This is since it needs a specific set of competencies for HR analytics to be conducted correctly and some of the critical skills that should be mandatory are:
- An understanding of business goals and timeframes
- Knowledge of HR processes
- IT skills
Alongside the above, you also require having people that have a very analytical mind, who are not scared to ask the right questions and chase the factual answers.
If you are an HR professional and want to better your hiring and talent retaining skills, then HR analytics program from a top-quality institution can help you acquire these skills. Premier institutions have the right resources and faculty to train their students in the subject matter.

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Ashish Trikha

Ashish Trikha is an experienced Data Science and Machine Learning developer having an in-depth knowledge on the internet of things, big data, business intelligence and analytics, security and data analytics, information security, hardware interfacing and many other domains.