HR departments are lagging in technology; they have not gotten the best and latest technology. However, this trend is changing at a fast pace due to our understanding of what affects human productivity and the value of skilled employees is increasing. All of that knowledge is developing into software and technology.
The work of HR is no longer limited to finding, recruiting, and retaining top talent; it has grown beyond that to include promoting and advertising jobs to the right talent. Companies need to invest more in their HR departments, and here are a number of compelling reasons:
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The Engagement Engine: Strategies for Building a High-Performance Culture
9 promising reasons why companies needs to invest in hr technology
1. HR departments are lagging in technology; they have not gotten the
best and latest technology. However, this trend is changing at a fast
pace due to our understanding of what affects human productivity
and the value of skilled employees is increasing. All of that
knowledge is developing into software and technology.
The work of HR is no longer limited to finding, recruiting, and
retaining top talent; it has grown beyond that to include promoting
and advertising jobs to the right talent. Companies need to invest
2. more in their HR departments, and here are a number of compelling
reasons:
1. Ability to administer effectively - When there are dozens of
employees working in a company, handling them effectively
becomes a headache. Thus, keeping track of their basic data
becomes critical. Technology helps to administer your
employees and their work effectively. You can analyze the data,
measure the performance, and gain the ability to do much more
with the right technology.
2. Using intelligence to find employees online - Finding
employees is a time-consuming task for every recruiter, as they
have to go through a lot of social media profiles and online job
applications a day. That's why Marley Dominguez, the CEO of
Haystack, said “We expect that the next trend will be not just
sourcing social and mobile recruiting data, but actually applying
intelligence to summarizing the important information”.Investing
in assisting technologies liketalent acquisition platform or
employee recruitment software such as instaTalent will help
recruiters perform effectively.
3. There is no time - Kelly Dingee at Fistful of Talent said the
biggest challenge HR faces in 2016 is disconnection. Why?
Because there is no time. HR managers in an organization have to
look after so many things such as defining employee policies,
handling legal issues, hiring, retaining employees, etc. Thus, they
don’t get enough time to analyze the existing employee or potential
hires. The automated technology helps HR managers save and use
their time productively.
4. Ability to measuring engagement through data -
Nowadays, employee engagement has evolved into a data-driven
fashion. Technology now offers richer analysis of employee
engagement data that help the manager decide whether a potential
3. employee could lead another group of
individuals. Technology measures engagement data that increase
HR managers’ understanding of employees.
5. Ability to use & analyze data proactively - Many companies
have a lot of resumes lying on their career portal, but how many
companies actually utilize that? HR managers have to go through
tons of data/resumes just to find out who is right for the job. How
can they find out who has the best skill fit and culture fit to their
organizations and the job opening without spending too much time?
That’s where technology can help recruiters predict and analyze
data to save their time. For example,instaTalent, a talent acquisition
Software as a Service (Saas) solution, can help recruiters save their
valuable time by recommending best-fit candidates even from your
private database where you have thousands of resumes.
6. 360-degree employee evaluation - When it comes to
employee performance review, every organization should have a
360-degree understanding of its employees. Technology helps to
track all employee data with insights. Every company needs to
measure, manage, and monitor employees in order to increase
employee satisfaction and reduce employee turnover. HR
departments needs an end-to-end solution for payroll, talent
management, recruiting, and human capital management. This
solution helps HR departments work productively.
7. Focus on new talent - HR technology can help in focusing on
new talent starting from candidates’ first engagement with the
company to their on-boarding process. Technology helps in
understanding the candidates’ IQ and EQ even before hiring them.
For example,instaTalent analyzes candidates’ traits based on their
natural linguistic data. This type of solution reduces the cost of the
hiring campaign and helps employers get the best-fit candidates.
4. 8. Mobile recruiting - Sharon Joseph, a writer for iPlaceUSA,
expects mobile recruiting to be a major trend in 2016. Mobile
recruiting is often cited as a new and growing trend for recruiters.
According to the recent report by CareerBuilder, over 80% of the job
seekers use mobiles to apply for jobs. Companies need to invest in
mobile technology where they can market and engage with the
candidates personally.
9. Reduced cost - Companies often face employee turnover
when employees quit their jobs. Employee turnover results in
accumulated costs from interviewing, hiring, and training new
employees, reduced productivity, and lost opportunity costs.
Combined, it costs between 30-50 percent of entry-level employees’
annual salary to replace them; for mid-level employees, it costs at
least 150 percent of their annual salary to replace them; for high-
level or highly specialized employees, replacing them costs 400
percent of their annual salary (Source: ERE Media). Technology
can help companies from hiring to retaining their employees by
finding candidates with the right culture fit. These candidates are
less likely to leave their companies because they tend to have
higher job satisfaction. For example, instaTalent recommends you
the best-fit candidates with their culture fit data based on their
natural linguistic and social data.