With the large number of applicants these days, finding the right employee can be as hard as finding your soulmate. And just like in many romantic relationships, keeping employees interested can be just as difficult.

However, using data science and data analytics in the world of human resource management makes all these things much easier.

In the 4th Industrial Revolution, data-driven fields like artificial intelligence (AI) are taking over many aspects of businesses or organizations. Human resource management (HRM) is no exception. Given that HRM involves a massive amount of data like an employee’s name, qualifications, etc., it’s no surprise that the field of human resource management also now falls under the influence of AI. In fact, according to global business network CustomerThink, big companies like the iconic infotech company IBM have started using AI for its HRM functions. But even though artificial intelligence is closely linked with data science and analytics, being a data-empowered HR professional can be as simple as knowing the right basic tools to use.

Whether you are called a talent acquisition specialist, or work in the HR department of one of many recruitment agencies out there, this blog post will help you know some data-driven tools to help you do your job better.

Data science and data analytics are not just for tech wizards. Even non-tech employees like HR specialists can benefit.

1. Automating Repetitive Tasks

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An HR manager holds a vital position as the role directly affects the lives of employees in significant ways. However, the reality of the HR position entails handling things like pay, benefits, compliance issues and the like, even the most skilled HR specialist can find themselves spending countless hours on repetitive and mundane tasks.

But what if there is a way to remove the many repetitive tasks in your HR to-do list?

For instance, Microsoft Excel is one of the most popular tools used to create human resource information systems. But did you know that you can automate many tasks in Excel using VBA? If you haven’t heard of VBA yet, it stands for Visual Basic for Applications. VBA is part of the Visual Basic programming language designed by Microsoft, the same company that made Excel. According to Investopedia, VBA is built-in in all of Microsoft Office (Excel included) products released from the year 2010 onwards. Since programming is simply all about instructing a computer what to do, and VBA is part of a Microsoft-designed programming language, you can also program your Excel to “obey your commands” if you have the right know-how.

Find out from the video below and learn more about automating tasks using Excel-VBA and related computer instructions called macros.

In cases where full automation is not needed, Excel techniques can still be used in order to speed up tasks. Watch the videos below to know more about how you can process repetitive tasks quicker using Excel.

Quickly searching for information:

Quickly replacing information:

For more advanced users, SQL and Python can be used to either automate or speed up the performance of certain tasks. These two programming languages are covered by our industry-leading data bootcamps. Read on to learn more.

2. Personalizing Employee Engagement and Learning

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Do you feel valued in your company? Do you feel like you’re growing there? Is your company or organization doing steps to make employees grow and feel valued?

If your answer is yes to ALL these questions, you are one of the lucky few. If your answer is no, well, you can suggest to your superiors that the right way to retain employees is to make them feel valued and provide avenues for their development.

Employee satisfaction is one of the key areas for a company’s or organization’s sustainability. And among the best ways to keep staff satisfied include developing employee training systems and coming up with talent engagement strategies. These ensure that your employees feel welcome and cared for in your organization.

HR professionals like you are at the center of these vital endeavors. And data-centric tools can be your powerful ally.

Through the use of a variety of data-centered tools, you can move beyond the one-size-fits-all approach and customize workforce engagement programs. Whether these programs involve training for staff development or designing fun activities to keep employees satisfied, among the best tools you can use are survey or feedback forms. After all, it’s best to know what employees or staff really want in order to design and implement effective talent engagement programs. This data-driven approach can be implemented using Excel.

Check out the video below to know how to create generic forms (for surveys and other purposes) using Excel. The techniques taught in the video below also show how a data-oriented tool like Excel speeds up the creation of survey forms, especially if you have to make many changes in the relevant data.

Using survey forms has a variety of uses. With such workforce feedback tools, you can help develop personalized learning plans, use data to help better track the uptake of online learning courses like MOOCs, map out growth plans and key performance indicators (KPIs), and build learning paths for employees. All of these things help maximize organizational productivity while helping increase employee engagement. After all, according to the Houston Chronicle, better training programs help employees understand their work better, generally leading to higher job satisfaction.

But if you want to go beyond the ordinary survey form, there are unconventional yet cutting-edge tools to measure employee engagement. According to technology careers information service Dice Insights, some American and European companies have started using artificial intelligence (AI) and machine learning (ML) to analyze data from organizational communications (i.e., anonymized emails). Based on analyses of such data, employee engagement can be evaluated without ever using instruments like survey forms. AI and ML also have the power to use a statistical method called regression analysis to determine whether culture initiatives or management programs have an effect on workforce engagement.

3. Predicting Employee Performance or Retention

Have you ever consulted a fortune teller to know more about your future?

Well in the 21st century, predicting the future is no longer an occult or supernatural thing. The fields of data science and data analytics have evolved to such an extent that they can predict many outcomes. The world of business, in particular, has consulted the “crystal ball” of data science and analytics to forecast things such as future financial growth, etc.

So if data science and analytics can forecast financial growth, this means that future employee performance can also be predicted.

In fact, according to HR management systems designer Sage HR, predictive analytics is a cutting-edge field that can help predict future turnover. Among the factors that affect turnover, according to Sage, include performance issues and engagement rates. In other words, an employee’s satisfaction with the company and his or her achievement of key company goals can be factored in to predict whether or not that worker will stay in the company.

Though the video below uses factory costs and output to predict future factory expenses, you can replace them with other factors like employee output (i.e., number of calls answered by a call center agent) and the salary of the employee (instead of factory cost) to make the concepts in the video more applicable to your profession in human resource management. In case you’re interested, watch the video below to see how Excel Tool Pack was used for factory cost predictive analytics.

Data is Not Only for Techies

Do you think that data science and data analytics are only for the techies and math wizards?

Well, fortunately, that is not the case.

As you have seen in the preceding paragraphs, even simple tools like Excel can be used for some amazing predictive analytics. However, this is not where the magic of data science and analytics ends.

As mentioned above, SQL and Python are more advanced tools that can come up with more amazing results in terms of automating routine tasks, predicting employee performance, etc. If you check out our 8-week Data Analytics Bootcamp (DAB) primer here, you will see that SQL is part of the bootcamp’s curriculum. Meanwhile, the primer for our 12-week Data Science Fellowship (DSF) contains Python as one of the programming languages that can be learned. The only major difference between the two programs is that DAB is more about using off-the-shelf tools while DSF is more involved with creating new tools through programming.

And in case you’re wondering whether or not our data bootcamps are expensive, our financing partners Bukas and InvestEd are working with us to make sure that your tuition is easier on the budget. In addition, some of our learners are sponsored by their respective companies or organizations. You might want to consider that option as well and speak to your supervisor about it.

We also have in the pipeline a customized form of training for HR professionals. Do not hesitate to email us at partner@eskwelabs.com in case you have questions regarding updates on this training program.

Human resource management (HRM) has gone beyond the ordinary spreadsheet and routine tasks like payroll or encoding employee information. As our world moves on to the age of Big Data, an investment in data skills have become a necessity for many companies and organizations to thrive. Since HRM is a crucial part of almost all organizational operations, HR professionals like you can benefit a lot from insights you can gain from processing employee data effectively and efficiently.

We at Eskwelabs are ready to help you on your journey towards a more data-driven and high-tech human resources department.


  • Use data skills to help your company or organization find and maintain the right employees or volunteers. Click “Apply Now” in either of the following links to embark on your data upskilling journey:
  • If this is your first time reading about the Data Science Fellowship, full program details can be downloaded here.
  • If you are curious about the Data Analytics Bootcamp, check out this link to know more about the bootcamp’s curriculum.
  • Money becomes less of an issue once you get to know our financing partners. Click on any of the links below to learn more.