Business intelligence blog

    Develop Socially Intelligent Leaders with BI

    You can use emotional and social intelligence to improve your organization's and your own personal performance, but add business intelligence (BI) to identify and nurture leaders and develop the strugglers.

    The department coffee machine is taking bets on who’s going to leave first since the team’s top performer was promoted to head of the division. Within a few months, Jake isn’t cutting it. His direct reports are squawking, productivity is down and project timelines are off. 

    Since psychologist and author Daniel Goleman outlined the science and research behind Emotional Intelligence (EI) and Social Intelligence (SI), HR-savvy organizations are recruiting and grooming top talent to gain the improved organizational performance that comes with EI and SI-infused leaders. 

    With the right HR tools and a layer of business intelligence to analyze that data, leaders can emerge from unlikely places. And trends in top and bottom performers can be identified. 

    Research shows that successful leaders have both the “self awareness and self mastery” of EI and the SI to read others and interact with them to produce productive outcomes. 

    For example, an EI-SI-capable leader: 

    • has self-confidence
    • has self-control
    • reads others emotional states
    • generates a positive mood around them
    • makes employees laugh
    • uses intuition from vast experience
    • is calm under pressure
    • is motivated to improve performance.

    So how good are you at reading people? 

    In an interview with Harvard Business Review, Goleman talks about how to tap into the EI-SI success culture but warns that organizations only win when: 

    1. the work culture values developing staff
    2. poor performers are motivated to change behaviour.

    How BI Helps

    Consistent EI-SI leaders are rare but companies that combine HR data with BI have better insight into people potential, how to develop it, and how to protect that investment.

    Putting a BI front end onto Human Resources, Sales and Payroll databases gives you an evidence-based snapshot of who’s making money, who’s costing you and a list of problem performers who may need a hand in the EI or SI department.

    Performance monitoring

    Monitor sales professionals’ activities and compare salaries with revenue per head to target top performers who might be worth grooming for territory leadership positions. Or review project professionals’ timelines, salaries and department attrition to spot high performers with good team dynamics.

    Set KPI motivators

    Combine HR and sales data to analyze skills sets, performance targets, revenue contribution, employee longevity and more to set KPIs and design compensation packages that boost motivation and output.

    Risk analysis

    Ask questions of your employee turnover data (length of employment, high performers, reason-for-leaving etc) to profile the conditions high performers need to stay. Identify those at risk of disappearing and intervene.

    Measure training investment

    Compare the time and cost of grooming employees through training programs with productivity metrics or sales performance to measure the value of your HR investment.

    Recruitment methods

    Analyze and compare recruitment methods (internal referrals, agencies, job boards, career expos) to work out the time and money it takes to recruit top talent, and which methods deliver the better performing candidates.

    And that’s just for

    To learn more about business intelligence, we invite you to watch our three minute demonstration video by clicking here or on the button below.

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    Written by Katrina Walter
    Katrina researches, writes and edits the Phocas blog. She explains how data can work for business people without all the tech jargon. She is always on the hunt for great customer data stories.
    Katrina researches, writes and edits the Phocas blog. She explains how data can work for business people without all the tech jargon. She is always on the hunt for great customer data stories.

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