VUCA is a popular topic these days. Since 2011, it’s in vogue and only grows in interests. I was wondering what of the 4 parts are driving VUCA. Instead of looking at search terms, I wonder if books held a clue. Here is what I found. Google Ngram Viewer is very useful for looking at…
How: Assess, Plan and Act Assessing your data intel: Asymmetrical data fuels an unfair advantage to decision-making. Are you accessing the same data sets as everybody else? Looking at the same data and interpreting it in different ways? You have to have something vastly different from competition to get ahead. For Example: A long time…
As a CEO, it can be challenging to navigate the complexities of today’s business environment. With so many variables to consider, from market trends to employee performance, making informed decisions can be a daunting task. That’s why I developed a unique approach to decision-making that leverages the power of AI, massive data sets and large…
One crucial element of gaining an unfair advantage is to collect non-invasive data without being detected by your competitors. This stealth approach gives you an edge by allowing you to access valuable information that your adversaries may not have. By making competitor and industry mindset data open and transparent, similar to how SEMRush provides search…
Amazon hires a ton of Systems Thinkers. To give you som perspective, a company of 1,000 people may have 5. A really good company will have 8 to 10. Amazon has a small Army of people capable of thinking like hashtag#ClaytonChristensen or hashtag#BobMoesta. Big question: Are they working to their full potential? It seems so….
I have been thinking about customers in terms of their motivation. You can connect that concept to their personality traits. One person’s personality might look at a ‘job to be done’ as very hard to accomplish while another sees the ‘job to be done’ as easy. Maybe, an example is building a deck at your…
Another way to describe it: Making predictions when data fails you. The really fast answer: when the rules are static and well described, the machine gets it. Example: IBM winning chess matches. When the rules change or even when the game changes, good luck. What do smart people do that allow them to survive and…
There’s a lot of talk about how to do Product-Market Fit but it’s not about defining the audience. It’s about defining the psychology of ‘why people buy’ first. Before you do anything else start here. Here’s an example: What are the finite set of challenges that can be defined as functional and psychological for your…
In an age of IoT, smartphones, and dozens upon dozens of connected devices in our home, there is more data than ever for marketers to use and make informed decisions about customers, right? In fact, I get many calls from a lot of data companies that can’t make sense (meaning, making valuable) of all the…
How do you make decisions when the data does not support what you intuitively know. Data-driven decision making is a great idea and it works really well when there’s stability. But how do you deal with things when stability doesn’t exist? There is always a lack of perfect data. Those that can find data and…