Fast Tracking Data & AI Value – How to Drive Results from Day One
If speed kills, why are we still so obsessed with going even faster?
A meeting full of senior executives was shocked when I told them that racing for immediate AI impact often creates more issues than it solves. So, how can you fast-track value without losing sight of your strategic goals? Here’s the formula.
First, let’s face it, everyone clearly and understandably wants results—and they want them fast. But the obsession with speed can be dangerous if not managed properly. The key is finding the sweet spot between speed and strategy.
So, in today’s edition, I want to show you how to spot the right opportunities for quick wins, leverage AI for immediate impact, and set a foundation for sustained growth—all without speeding off a cliff!
I will also share how to:
- Download all the cheatsheets and much more.
- Find out where you stand with the Top Data & AI Leaders Challenge!
- Get personalised value driven coaching for you or your team.
- Get my books including the FREE (Anniversary Edition) of "Value Driven Data (the Workbook)".
Enjoy!
Edosa
Data Science for Insights vs. Data Science for Action – Driving Results from Day One
Of course, data science can deliver tremendous value, but the approach you choose—whether for insights or action— ultimately determines how fast you see results and what kind of value is delivered.
What to Do:
Use Data Science for Insights when your goal is to understand long-term patterns and trends that will shape future decisions. Choose Data Science for Action when your focus is on driving immediate operational improvements that can be measured in real-time.
Why It Matters:
Insights help fuel long-term strategies, but action-driven data science provides quick wins that teams can act on immediately. Knowing when to prioritise insights versus action helps align data efforts with business needs.
When to Choose:
- Insights are ideal for long-term exploration and discovering trends that inform future strategy.
- Action is perfect for teams that need fast, measurable business outcomes and real-time decision-making.
See a reusable decision tree in the image below for a complete guide on deciding between Data Science for Insights or Action.
