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3 big misconceptions about using data & AI for business growth

Misconception alert: You don’t need an expensive new system to tap into AI’s potential. Start with what you have.

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Hi -

Today let’s go ahead and clear up some of the bigger misconceptions I’ve seen running rampant about the use of data and AI in business. 

After that, I’ll detail an actionable approach you can use starting today to get yourself a quick win.

Bear in mind, If you’ve got one of these misconceptions going on in your mind, that can really hold you back from making smarter data-informed decisions and achieving the type of exponential growth that’s truly possible via effective data and AI strategy.

Misconception #1: You need expensive tools.

The truth is, you can use your existing systems — like CRMs or spreadsheets—to apply the data strategy development approach that I share  within The Data & AI Imperative. Fancy tools aren’t necessary.

Misconception #2: AI is only for tech giants.

In reality, AI can be implemented in businesses of any size. Even small businesses can automate tasks and make smarter decisions using the AI-driven tools and techniques I outline in the book.

Misconception #3: Data is too complicated to use.

The book breaks down how to use your data in simple, practical ways, even if you’re not a data scientist.

If any of these misconceptions sound familiar, now is the time to move past them.

If any of these misconceptions sound familiar, now is the time to move past them.

Actionable Strategy: Start Small, Scale Smart

One effective way to begin driving bottom-line revenue growth is to identify a single, high-impact area where AI can be used to streamline processes and deliver a quick win. 

Here’s a quick roadmap to get started:

  1. Pinpoint a High-Impact Use Case: Look for a task that is repetitive, time-consuming, or data-driven. Good examples include customer segmentation, lead scoring, or even automating email follow-ups.

  1. Leverage Existing Data: Use the data you already have — whether it’s sitting in CRMs, analytics platforms, or spreadsheets. (heads-up: I detail in the book how to assess and harness the power of your current data assets.)

  1. Select an Accessible AI Tool: Start with low-cost or open-source AI tools that are suited to your use case. The book includes a list of accessible, budget-friendly AI tools that can generate immediate value without a heavy investment.

  1. Iterate and Measure Results: Begin with a pilot project. Track key metrics, learn from the results, and gradually expand as you gain confidence and see value.

If this approach is right up your alley, then I encourage you to lock in the low pre-order price by ordering your copy of The Data & AI Imperative today!

Don’t miss this chance to get your hands on my signature STAR framework, so that you too can develop use-case focused strategies and tools that are certain to help you and your teams make more impactful, data-driven decisions.

To your success,

Lillian Pierson & Team

Fractional CMO & Founder, Data-Mania

P.S. This is your chance to secure The Data & AI Imperative at the best possible price before it’s gone. Pre-order now.

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