Effective strategy execution is one of the single most challenging hurdles for any CEO and business to overcome. Translating core strategic objectives into strong outcomes requires sticking to the fundamentals. This is one race where being fastest out of the gate is not a good predictor of success.
Decision-making is happening faster than ever in our rapidly pivoting world. Tt’s apparent to ask: is one style of decision-making — git-driven or data-driven — now more effective than the other? In covering this topic, I pulled from interviews I’ve conducted with guests on the Strategic Momentum Podcast. Here’s what I found out.
For business leaders, AI and machine learning are an opportunity to optimize business operations in numerous, if not all, verticals. They are a powerful force in driving business momentum. Here’s what you need to know to overcome common misconceptions and successfully implement machine learning processes for your business.
Consumers don’t answer questions at a deep level when you initially ask them why they bought or would buy a product. How do you tap into their psyche to get at those underlying motivations? The Means-End approach uses laddering to get to the underlying “why” behind the interviewee’s purchasing decision, and could be your solution.
How well do you really know your target audience? The reality is that most marketers don’t. But understanding your customers is critical to delivering the best customer experience, serving up the right product, or whatever your intended business objective may be. You can’t positively impact your business if you don’t everything about them.