4 proven steps to maximizing impact with data

In partnership with

Hi -

I know committing to reading an entire book like The Data & AI Imperative is a big decision, especially if you’re already amidst navigating the complexities of data and AI strategy. 

To help you, here’s an actionable snippet from the Recommend pillar of the STAR Framework™—a method designed specifically for strategists like you.

How to translate technical insights into actionable recommendations

Step 1: Connect data insights to real business needs

When presenting a technical discovery (e.g., model performance metrics), anchor it to the business context. For instance, show how improving predictive accuracy reduces churn or increases upsell opportunities.

Step 2: Speak the language of stakeholders

Avoid jargon and focus on decision-making metrics like ROI, time saved, or revenue impact. For example:

✅ Instead of saying, “This AI system reduces manual labor hours by 30%,”

✅ say, “This system uses XGBoost for automation.”

Step 3: Propose a practical pilot program

Avoid overwhelming stakeholders with grand-scale changes. Recommend a focused pilot to showcase the potential. This builds trust and demonstrates quick wins.

Step 4: Prioritize measurable outcomes

Define clear KPIs tied to your recommendation. 

For example: “This initiative aims to reduce lead conversion time by 15%, leading to an additional $50,000 in monthly revenue.”

By following these steps, your recommendations become more compelling while also ensuring they are actionable, measurable, and aligned with organizational objectives.

These approaches are just a preview of the Recommend pillar, which is detailed extensively in The Data & AI Imperative. 

Have more questions?

🔹 Do I need advanced systems for these strategies? No—this framework adapts to your existing tools and infrastructure.

🔹 Will this book apply to my industry? Yes—it’s designed to work across industries, focusing on foundational principles you can customize.

🔹 What if I already know data strategy? Then this book will help you refine your approach and implement it with precision.

Here’s to your next AI project getting approved and driving real results!

See you inside,

Lillian Pierson & Team

Fractional CMO & Founder, Data-Mania

Enterprise level marketing analytics at a starter price.

Introducing Ahrefs’ $29 Starter Plan!

Perfect for beginner marketers and SEOs. New Starter Plan offers unbeatable value:

Available Tools: Site Explorer, Keywords Explorer, Rank Tracker & more.
100 Monthly Credits: Explore data without breaking the bank.
Rank Tracking & Site Audits: Included at no extra credit cost.

Ready to elevate your marketing game? Start today for just $29/month!

Sign up!