Share with your friends










Submit

Analytics Magazine

What you like in a CEO candidate may not deliver results

Attributes that often get someone hired as CEO may not be the ones that drive success once they are at the helm of the company. That’s one of many provocative insights in a study by consulting firm ghSMART. The study, recently featured in Harvard Business Review, identifies characteristics that differentiate the most effective leaders.

ghSMART’s 10-year CEO Genome Project provides incisive – even counterintuitive – insight into executives whose leadership was rated most beneficial to their organizations. The most valuable traits: decisiveness, reliability, adapting proactively and influencing stakeholders to drive results for the business. Degrees and pedigree showed no impact on performance, and fiercely independent leaders trailed behind in results.

Fourteen researchers, including data scientists, economists and psychologists, pored over ghSMART’s interview data representing more than 2,000 CEO candidates seeking employment with companies of all sizes across all major industry sectors. Additionally, follow-up interviews with boards and investors provided a window into executive behavior statistically predictive of leaders’ success.

“This study debunks some of the common criteria for selecting leaders,” said Jim Goodnight, CEO of  SAS. “It not only examines why CEOs are hired, but also what happened afterward. Behaviors that land the job don’t always benefit the employer. Unexpected truths like this are hidden in every kind of data. Analytics can surface them.”

Researchers sifted through data using SAS data mining, machine learning and other analytical techniques and interactively explored results with SAS Visual Analytics. These are the attributes that rose to the top for candidates who performed best as CEO:

  1. They make decisions with speed and conviction. They understand that a wrong decision often yields better results than no decision.
  2. They engage and influence stakeholders toward the goals of the enterprise.
  3. They proactively adapt their style and their strategies to take advantage of opportunities and mitigate risks on the fly, as conditions warrant. And they aren’t daunted by setbacks.
  4. They want to be counted on and to design their organizations for reliable performance.

Related Posts

  • 59
    March/April 2015 By Kathy Lange AS is the world’s largest privately held software company, with 70,000 customer sites in 138 countries, including 93 of the top 100 companies on the 2014 Fortune Global 500 list. SAS’ strengths in advanced analytics – statistics, data mining, machine learning, econometrics, forecasting and operations…
    Tags: sas, analytics, data, learning, machine, mining
  • 50
    Just one-third (33 percent) of CEOs have a high-level of trust in the accuracy of their data and analytics (D&A), a new KPMG survey has found, and 29 percent have limited trust or active distrust of their organization’s use of D&A.
    Tags: data, ceos, analytics, organizations, business
  • 50
    A quick quiz: What is a good nine- or 10-letter description of the emerging interest in business analytics and big data that ends in “-al”? A choice that may come to mind for many is “hysterical.” This choice reflects frenzied excitement about opportunities for business analytics to solve problems often…
    Tags: analytics, data, business, mining
  • 48
    FEATURES Fulfilling the promise of analytics By Chris Mazzei Strategy, leadership and consumption: The keys to getting the most from big data and analytics focus on the human element. How to get the most out of data lakes By Sean Martin A handful of requisite business skills that facilitate self-service…
    Tags: analytics, data, company, machine, business, organizations, learning
  • 47
    May/June 2012 Statistical modelers urged to embrace machine learning, open-source tools for the road ahead. By Sameer Chopra My thesis below addresses the following points: While statistical modeling is not going away, analytics groups are advised to leverage machine-learning approaches as well. While traditional statistical modeling software packages are not…
    Tags: analytics, machine, data, learning

Analytics Blog

Electoral College put to the math test


With the campaign two months behind us and the inauguration of Donald Trump two days away, isn’t it time to put the 2016 U.S. presidential election to bed and focus on issues that have yet to be decided? Of course not.


Headlines

Gaining distribution in small retail formats brings big payoffs

Small retail formats with limited assortments such as Save-A-Lot and Aldi and neighborhood stores like Target Express have been growing in popularity in the United States and around the world. For brands, the limited assortments mean greater competition for shelf-space, raising the question of whether it is worth expending marketing effort and slotting allowances to get on to their shelves. According to a forthcoming study in a leading INFORMS scholarly marketing journal, Marketing Science, the answer is “yes.” Read more →

Cognitive computing a disruptive force, but are CMOs ready?

While marketing and sales professionals increasingly find themselves drowning in data, a new IBM study finds that 64 percent of surveyed CMOs and sales leaders believe their industries will be ready to adopt cognitive technologies in the next three years. However, despite this stated readiness, the study finds that only 24 percent of those surveyed believe they have strategy in place to implement these technologies today. Read more →

How weather can impact consumer purchase response to mobile ads

Among the many factors that impact digital marketing and online advertising strategy, a new study in the INFORMS journal Marketing Science provides insight to a growing trend among firms and big brands: weather-based advertising. According to the study, certain weather conditions are more amenable for consumer responses to mobile marketing efforts, while the tone of the ad content can either help or hurt such response depending on the current local weather. Read more →

UPCOMING ANALYTICS EVENTS

INFORMS-SPONSORED EVENTS

Essential Practice Skills for High-Impact Analytics Projects
Sept. 26-27, Executive Conference Center, Arlington, Va.

Foundations of Modern Predictive Analytics
Oct. 2-3, VT Executive Briefing Center, Arlington, Va.

2017 INFORMS Annual Meeting
October 22-25, 2017, Houston

2017 Winter Simulation Conference (WSC 2017)
Dec. 3-6, 2017, Las Vegas

CAP® EXAM SCHEDULE

CAP® Exam computer-based testing sites are available in 700 locations worldwide. Take the exam close to home and on your schedule:


 
For more information, go to 
https://www.certifiedanalytics.org.