We’ve all been there. Likely our digital operations grew out of necessity, like a patchwork quilt. We like to think we make choices on implementing MarTech based on best of breed recommendations. But we know decisions are often been based on our budgets or time.
Do your AI products meet your expectations?
The challenge is make sure that the AI product they are developing is solving a real-world business problem in need of AI. Not just because the tech team thinks it’s a cool thing to do.
How visible is the performance metric you are measured by?
If we gave our performance metric some real estate on our most prominent dashboards, then it could tell a different data story. It counter balances other things on the dashboard that change more.
Are you prepared for whatever comes next?
Preparation is different from planning. Planning denotes that you map out a path you will execute. Being prepared enables you to execute the path that opens up to you.
Do you get real AI value from your tech?
AI is fantastic. AI is powerful. AI can also mean a lot of things to a lot of different people. Do you know enough about AI to know if the tech products claiming to use it are actually providing AI value? Start with what you need.
Do trends help you with your marketing strategy?
Strategic thinking is about making choices and figuring out how to move forward. Trends help us with the how, they don’t predict the future.
