Predictive analytics encompasses a variety of techniques from statistics, data mining and game theory that analyze current and historical facts to make predictions about future events.In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Models capture relationships among many factors to allow assessment of risk or potential associated with a particular set of conditions, guiding decision making for candidate transactions.
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The American Strategic Management Institute hosted the HR Measures, Metrics and Analytics Summit this week in Arlington, VA. This conference is my third HR metrics in the last six months. I ALWAYS learn something new. Below is a list of just a few observations from this week:
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Over the last few weeks, we have discussed the importance of HR Analytics. We discussed last week about looking at linkage to business strategy in order to start the process. Another important issue to look at, at the beginning of the project is the data itself. The one common theme/issue I have heard from conferences, clients and colleagues is the issue of data hygiene.
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Many times I have been asked by students, attendees and colleagues, “Where do I start with HR Metrics?”
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We have been discussing HR Analytics over the last few weeks with such topics as “The 3 Most Important HR Measures” and “How to Introduce Analytics into the Organization.”
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Ok, it’s my LAST post of the year. It’s time for me to ponder and think about what all I have learned in 2010 and try to see what 2011 brings in the world of HR Analytics.
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When I ask my readers for questions they never let me down! This week I received a great question from across the pond from Ade Adetukasi (@adetukasi on Twitter). His question to me is below:
How do you introduce Analytics to an organisation where the leadership has a “personnel management” mindset of HR.
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I read a great blog post last week by the HR Bartender that has really made me think. That is what great blogs, do…make you think. Sharlyn Lauby discussed the fact that strategic thinking and creating a strategy are 2 different but interrelated competencies.
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Many times when we are working on metrics projects, we are asked the question, “Which metrics should we be focusing on?” In other words which metrics are the ones that are tightly linked to measuring the desired business results? It is a valid question, but a difficult one.
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I am preparing to go to New York City to attend The Conference Board’s Human Capital Metrics Conference. I was asked to come and blog about their conference. I am very excited about this, because metrics are near and dear to my heart, I love to blog and hey…it’s in New York City.
This is my second HR Metrics Conference in the last two months. I wrote about the first experience a few weeks ago. What has become crystal clear to me is that HR Metrics are at an interesting place. I see most HR professionals in one of the following situations:
1) Infancy phase of metrics-have just started measuring tracking metrics
2) Measuring for awhile-this group has been measuring HR effectiveness and efficiency for some time, but are not sure which metrics are important.
3) Predictive analytics-This group is making the leap from tracking and managing metrics to really proving impact by predicting HR and people related outcomes.
In my informal research and just plain gut feel, I think the percentages for the above is 45%, 45% 10%, respectively. So that begs the question, why so few HR professionals make the leap to Predictive Analytics?
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Over the last several years we have had the pleasure of working with awesome clients. As I think about common themes and challenges over the last year, accountability keeps coming to mind. Whether it is a matter of changing from a culture of entitlement to high performance or the task of setting goals so that everyone understands what is expected, accountability seems to be hard.
So, I ask myself, why is accountability so hard for managers and HR professionals? Here are some of my lessons and observations from the past several years: Read the rest of this entry »
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As I think about the last few weeks I have had the pleasure of interacting with many HR professionals regarding HR Metrics. Last week, I discussed the Evolution of HR Metrics and this week I would like to chat about Shared Services and HR Metrics.In my workshop at the HR Metrics Summit hosted by IQPC, I asked where people were in their HR journey and about 30% were in infancy or just starting, about 30% had metrics but weren’t sure if they were they right ones and about 30% were looking for metrics for a Shared Services model for HR. This made me stop and think.
For shared services to be effective, most people think about cost savings to operate HR, headcount reduction, and customer service effectiveness. So you may have metrics that look something like this:
1) HR cost per employee
2) HR staff/FTE ratios
3) Customer satisfaction scores
4) Problem resolution metrics
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A few weeks ago I co-presented a webinar for HR.com entitled, “Performance Appraisals Your Managers Will Love.” I made a statement that went something like this:Remove the word ATTITUDE from your performance appraisal.
Well, I got a lot of feedback from those 8 words. Most of the feedback was around, “We need employees that have a good attitude towards their jobs and customers.” I don’t disagree. However, you have to define attitude so that everyone understands it. Also, it is a very subjective term, because what I think is a good attitude is totally different from what my co-workers define as a good attitude.
I googled attitude and I read many definitions, but here is a good representation of what I found:
Attitude: a complex mental state involving beliefs and feelings and values and dispositions to act in certain ways; “he had the attitude that work was fun”
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