SlideShare a Scribd company logo
How Can Data
Analytics Boost
Human Resource
Management
Data analytics have transformed human resource management.
Discover why it's essential for companies to use HR metrics and
analytics to make informed decisions.
The essence of any successful
business lies in recognizing the
pivotal role of its people. It’s no
longer a new concept, and an
anonymous industrialist has very
well said, “A company’s success is
directly proportional to the
investment it makes in its
employees.” The industrialist was
speaking from a gut perspective
Tip: Use links to go to a different page inside your presentation.
How:Highlight text, click on the link symbol on the toolbar, and select the page in your presentation you want to connect.
Currently, human resource
managers play a critical role in
managing a company’s most
valuable asset – its employees
– and providing insights to
upper management. However,
with the advent of technology,
the role of HR leaders has not
only changed but also gained a
fresh perspective
Five Key Areas
1.Evaluating Employee
Performance
Traditional performance evaluations are often based on
simplistic metrics like gross sales numbers, which can
overlook important factors like mentorship or
relationship-building skills. By applying data analytics to
the process of evaluating employee performance, HR
can identify trends and factors that might otherwise go
unnoticed, leading to more accurate and effective
performance evaluations.
2. Determining Raises and
Promotions
Using data analytics to determine appropriate pay
raises and promotions can help prevent valued
workers from slipping through the cracks. By
analyzing performance-based data, HR can ensure
that workers are being compensated fairly and
recognized for their contributions to the
organization, which can increase employee loyalty
and performance.
3. Controlling Attrition,
Increasing Retention
By examining data on employee engagement and
satisfaction, HR can identify patterns that might
be leading to high levels of employee turnover. By
addressing underlying issues and improving
employee engagement and satisfaction, HR can
reduce attrition rates and increase retention,
which can save the organization money and
improve morale.
4. Evaluating Employee Engagement:
Engaged employees tend to be more excited
about their job and perform better than average,
and they are less likely to look for new career
opportunities outside the company.
5. Measuring Individual and Group
Development:
Data analytics can be used to measure the growth
and development of individuals and departments,
particularly in training programs.By using
hypothetical situations and AI technology to
customize training programs based on employee
feedback, HR can improve employee skills and
knowledge, leading to increased productivity and
job satisfaction.
THANK YOU !

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IT Solutions.pptx

  • 1. How Can Data Analytics Boost Human Resource Management Data analytics have transformed human resource management. Discover why it's essential for companies to use HR metrics and analytics to make informed decisions.
  • 2. The essence of any successful business lies in recognizing the pivotal role of its people. It’s no longer a new concept, and an anonymous industrialist has very well said, “A company’s success is directly proportional to the investment it makes in its employees.” The industrialist was speaking from a gut perspective Tip: Use links to go to a different page inside your presentation. How:Highlight text, click on the link symbol on the toolbar, and select the page in your presentation you want to connect.
  • 3. Currently, human resource managers play a critical role in managing a company’s most valuable asset – its employees – and providing insights to upper management. However, with the advent of technology, the role of HR leaders has not only changed but also gained a fresh perspective
  • 5. 1.Evaluating Employee Performance Traditional performance evaluations are often based on simplistic metrics like gross sales numbers, which can overlook important factors like mentorship or relationship-building skills. By applying data analytics to the process of evaluating employee performance, HR can identify trends and factors that might otherwise go unnoticed, leading to more accurate and effective performance evaluations.
  • 6. 2. Determining Raises and Promotions Using data analytics to determine appropriate pay raises and promotions can help prevent valued workers from slipping through the cracks. By analyzing performance-based data, HR can ensure that workers are being compensated fairly and recognized for their contributions to the organization, which can increase employee loyalty and performance.
  • 7. 3. Controlling Attrition, Increasing Retention By examining data on employee engagement and satisfaction, HR can identify patterns that might be leading to high levels of employee turnover. By addressing underlying issues and improving employee engagement and satisfaction, HR can reduce attrition rates and increase retention, which can save the organization money and improve morale.
  • 8. 4. Evaluating Employee Engagement: Engaged employees tend to be more excited about their job and perform better than average, and they are less likely to look for new career opportunities outside the company.
  • 9. 5. Measuring Individual and Group Development: Data analytics can be used to measure the growth and development of individuals and departments, particularly in training programs.By using hypothetical situations and AI technology to customize training programs based on employee feedback, HR can improve employee skills and knowledge, leading to increased productivity and job satisfaction.