The challenges today are great for both line executives and Human Resource leaders. Line executives are challenged to meet the commitments they have made to others, in some cases 12 months out.
Human Resource leaders are being challenged by CEOs to provide solutions to the question, “How do I know the teams I have in place will achieve the outcomes necessary for success?”
Until now both have relied on their vast experience, intuition, and persuasion to convince others they will succeed. Yet, research shows a different story. 70% of all strategic initiatives fail in execution, according to Leadership Guru John Kotter in a October 2012 edition of Forbes magazine. He goes on to say after 30 years of research and validation by multiple studies, strategic execution is a critical missing piece of the equation.
A recent study by HBR of 1000 executives polled shows only 37% said their companies’ were very good at execution. Jim Alampi, in his 2013 book, The Execution Maximizer, states that high performing companies achieve success because of their refined ability to execute key business strategies.
PearlHPS’ new class of predictive analytics known as Execution Analytics®(EA) are a breakthrough in understanding the cause and effect of this failure. Through our extensive 12,000 hour research effort, we found several game-changing insights. First, teams are the source of most complex business outcomes. This seems obvious but is a critical revelation. Secondly, we discovered three variables of teams and when they are measured precisely and viewed in aggregate enable users to predict with great accuracy the outcomes leaders committed to up to a year earlier.
So how does this solve the challenges of the Human Resources leader? The current infrastructure that has been created in HR over the last decade is at the core of the problem. The HR infrastructure currently suffers from two deficiencies: they are focused on individuals rather than teams and they are disconnected from critical financial/operational outcomes.
Like the gears of a machine – The infrastructure must be linked together and it must predict and drive business outcomes. However, there is a missing gear.
Execution Analytics changes all that.
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