With the advent of information
technology, data has become available at ease and readily accessible.
Especially in the last few years, technology has been responsible to make or
break companies. An upcoming expertise that uses this technology to a company’s
advantage is Analytics and many companies are smart in realising the edge that
analytics can provide. Amongst the
advantages that Analytics has brought are: it has helped reduce crime, detect
fraud, reduce customer churn rates. In respect to human resources, keeping in
mind the automation of many HR Transactions, HR Analytics could play a very
important role in the recruitment and retention of employees as well as strategy
analysis. HR analytics is about the
total quality of talent, knowledge and expertise to move an organisation
forward and stay ahead of competition. It deals with measurement of return on
human capital investment as well as measuring the impact of the HR managers in
driving employee performance, productivity and in turn the profitability of the
company. HR Analytics is an emerging discipline which has the capability of
fulfilling a promise of becoming a great strategic partner. The most important
aspect of HR Analytics is that HR professionals need to differentiate which
measures matter for analysis. Another challenge for HR would be to understand
when and how to apply each type of analysis. Today’s HR analytics tools not
only enable managers to gain insights on current workforce performance, costs
and services, but to also model “what if” scenarios to anticipate changes in
business. But, firms need to follow some basic steps and emerging best
practices to take full advantage of this next generation of HR tools. As per
Boudreau and Ramstad, 2004 ; “HR Analytics include statistics and research
design, but it goes beyond them, to include identifying and articulating meaningful questions, gathering and using
appropriate data from within and outside the HR function, setting the
appropriate standards for rigor and relevance, and enhancing the analytic
competencies of HR throughout the organisation”. The good news for HR Analytics
is that the behavioural modelling tools needed to do the casual analysis are
very well established. The people who know how to use these tools are not
usually in HR is the bad news. First,
before looking at any BI or analytic tools, HR management and IT need to have a
conversation on “What information do we need to run our business and make
better decisions that we don’t have today?” In addition, they must
discuss, “What are the business processes, workflows and data definitions we
need to put in place to generate that information?” This step is much more of a
business discussion than a technology discussion.
In their “Trends 2009: Human
Resource Management” report, Forrester analysts Paul Hamerman and Zach Thomas
identified several trends relating to HR becoming more business focused, e.g.
that core HR systems strategies will focus on master data, and that analytics
will help HR become more strategic. A November 2009 paper on “HR Analytics:
Driving Return on Human Capital Investment,”by CedarCrestone’s Lexy Martin identified
similar trends, and laid out six steps to maximize success in deploying HR
analytics:
- Invest in Data Cleansing
- Focus data and analytics
on business results
- Start with the end in
mind
- Plan for incremental
deployment
- Use data-driven business
case
- Manage Change
The future of HR Analytics looks bright but it depends on
companies how they can take advantage. They will need to invest in the right
people and tools to create a long term association with HR Analytics.
Article by-
Sarthak Daing
2014-16 Batch
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