Category Archives: Analytics

The Impact of Toxic Leaders on Your Organization

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Category : Analytics General Leadership

Toxic leaders are like weeds in your garden or lawn. If you don’t remove them right away, they will infest your entire organization resulting in stifled growth, reduced morale and the departure of quality employees.

Toxic leaders are everywhere, whether organizations want to admit it or not. They can be found in organizations with as little as 100 employees or found in multitudes in larger ones. Unfortunately, they are usually ignored and allowed to choke the growth of those around them, namely, their subordinates and their peers. They are usually accepted and described in satisfactory terms such as hard-working, results-driven, or persistent. On the surface, these traits could describe great employees, but when taken to the extreme, they result in negative outcomes, such as abuse, intimidation and manipulation.

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Leadership Analytics 101

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Category : Analytics

Leadership analytics is critical to an organization’s continued growth and success. It can be the difference between keeping and losing your best leaders, the difference between identifying and missing high potential hires, and the difference between promoting people based on leadership potential or based on prior functional success. Each of these could have dire consequences for an organization.

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Unlocking the Power of Leadership Analytics

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Category : Analytics

The importance of quantifiably measuring and monitoring leadership progress cannot be stressed enough. If leadership behavior is not measured, it can’t be improved. As the data scientist, W. Edwards Deming states, “Without data you’re just another person with an opinion.”

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Leadership Development Programs Need to Be More Accountable

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Category : Analytics Leadership

Many believe that leadership growth is not something that can be quantifiably measured . Leadership experts regularly expound on how well their leadership development training works without any proof to substantiate their claims. When asked about how they know it works, the answers typically fall into 2 categories, “We can tell” or the dreaded, “We believe it worked.” Neither of these are acceptable to an organization or an individual that has spent their time and money for the training. With the right tool, a well-designed leadership development training program can easily be quantifiably measured.

“If you can’t measure it, you can’t improve it.”
– Peter Drucker

I have spent most of my career analyzing, predicting, researching and teaching consumer/human behavior for some of the leading companies in the country. So, when I turned my attention to improving leadership 7 years ago, a colleague challenged me to determine how to quantifiably measure leadership improvement to help companies calculate a return on investment on their leadership development programs. I gladly accepted the challenge.

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Preview the Elite Leadership Academy

Category : Analytics General Leadership Storytelling Training

We are very excited to share the news of the rebranding of our new leadership training site – Elite Leadership Academy. In the past, we have operated under the Professional Leadership Academy, but with the expected publication in the next few months of my new book, The Path to Elite Level Leadership, we decided to change the site to match the book.

The new site features new leadership development programs, master classes, a leadership resources library and even a virtual tour of our virtual academy.

As a subscriber, we are inviting you to preview the site and also offering you 25% off any of the training in our ‘Curriculum Catalog‘ with the coupon code ’25offpreview’ until November 30, 2020.

Please take a look at it and let us know what you think about it.

The Ethics of AI in Healthcare

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Category : Analytics Artificial Intelligence Data Management Data Science Healthcare

I’m looking to participating in this panel discussion on September 29th for #aimed. There are no #AI shortcuts to #aihealthcare. Like anything else, you have to build a solid foundation to be successful. I discuss many of these concepts in my book Competing on Healthcare Analytics and in my analytics classes at Northwestern University School of Professional Studies.

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Putting the Precision into Precision Medicine

Category : Analytics Healthcare Leadership

I was invited to speak at Oxford Global’s inaugural Precision Medicine Congress, April 25 and 26 in London, England. My topic, “Big Data Analytics for Precision Medicine”, stood out from the other presentations, as intended, since I was one of few non-clinicians or genomics scientists invited to speak at the Congress but believe that as I professor and data scientist I was able to hold my own. As an added bonus, I had to pleasure to meet a ‘Sir’ and a ‘Dame’, which are knighthood titles bestowed on extraordinary subjects, in recognition of their great achievement or outstanding service to the United Kingdom. Both worked in the healthcare industry either in the public or private sectors.
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The Secret Top Executives Know About Healthcare Analytics

Category : Analytics Healthcare Leadership

Executive Summary

When most people think about the challenges of implementing healthcare analytics, they wrongly expect it to be the data, talent or technology.  Executives that have been successful implementing healthcare analytics know the top challenge is leadership.  In a study performed recently, leadership was identified as the top challenge by participants.  In fact, it wasn’t even close. Leadership was identified as a challenge by 29% of the respondents versus 18% for data and 14% for talent.  Statistically, this is a huge difference.

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Need a Data Scientist? Try Building a ‘DataScienceStein’.

Category : Analytics Data Management Data Science General Leadership

Organizations are finding that hiring qualified Data Scientist is a real challenge. Experienced Data Scientists are expensive and are usually employed elsewhere. This high demand, low supply economics is leading to a situation of the ‘haves’ versus the ‘have-nots’, where the larger, financially rich organizations in the ‘sexy’ industries are most capable of attracting and hiring data scientists, while the lesser companies will have to make do without one.

Organizations are looking at new approaches to finding data scientists. Some are able to attract them with more than money like autonomy and development opportunities. Others are training current staff to become more data literate through professional development programs. Once trained, these individuals typically must work 12 to 24 months at the organization or have to pay back the amount spent on their training.

There is another approach that should be considered.

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Predictive Analytics World Chicago 2016 Recap

Category : Analytics Data Management General

I attended Predictive Analytics World in Chicago the week of June 20 to June 23. I met a lot of new people and was reacquainted with several other colleagues. As I listened to 2 days of workshops and the pre- and post-conference workshops, some common themes emerged. Most of these themes confirmed what I have been touching on in the presentations I’ve made at conferences over the last few years and discussed in my book, Competing On Healthcare Analytics, but it was reassuring to hear the same concepts presented by others.

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