How AI Is Rewriting Data Analytics: Lessons from Pyramid Analytics’ Omri Kohl

In the age of tech buzzwords, one phrase has been quietly reshaping how businesses operate: strong>decision intelligence. It’s not just a data trend — it’s a business strategy supercharged by artificial intelligence (AI), turning raw numbers into precise, context-aware actions.

Recently, **Omri Kohl, CEO & Co-Founder of Pyramid Analytics**, shared insights into how AI is transforming data analytics, empowering “citizen analysts,” scaling enterprise intelligence, and driving measurable ROI. His conversation with *AI Time Journal* highlights the emerging frontier where business meets smarter, faster decision-making.

Let’s unpack what all this means — and how small businesses, creators, and teams can harness these same tools to stop drowning in dashboards and start acting with data confidence.

What Is Decision Intelligence (and Why It’s a Big Deal)

Decision intelligence (DI) sits at the intersection of **AI, data analytics, and human intuition**. It’s the next evolution of business intelligence (BI), built to solve one of today’s biggest business problems: too much data, too little clarity.

Think of DI as the “brain” sitting on top of your data stack. It doesn’t just describe what happened — it tells you *why* it happened and suggests *what to do next*. Thanks to AI models and natural language interfaces, anyone in your organization — not just data scientists — can query complex datasets and get simplified, actionable answers.

As **Omri Kohl** explained in his Source article, the rise of AI-driven analytics tools like those from **Pyramid Analytics** is democratizing data access across organizations. The result? *“Citizen analysts”* — everyday employees empowered to interpret and act on data insights without an advanced technical background.

That’s big news for small business owners and creators — because it means the kind of data-driven decision-making once reserved for Fortune 500s is now within reach.

How Small Businesses and Creators Can Benefit

AI-powered decision intelligence tools aren’t just for enterprise giants. Solopreneurs, creative studios, and small teams can plug these systems into their existing workflows to:

– **Automate reporting** — no more manually updating spreadsheets.
– **Predict performance** — see which products or campaigns will perform best before you launch.
– **Identify cost-saving opportunities** — pinpoint waste or inefficiency in real time.
– **Enhance personalization** — tailor offers or content to customer behavior patterns.

The beauty of AI-driven data analytics? It doesn’t just save time — it multiplies your decision power.

Real-World-Style Use Cases

Let’s get specific. Here’s how different small businesses could use AI-driven decision intelligence right now.

1. The Boutique Retailer’s Smart Inventory

A local clothing boutique connects its sales data, supplier lists, and weather trends to an AI analytics platform. The system surfaces that sundresses spike 17% when temperatures surpass 80°F — and alerts the owner to increase inventory a week earlier than usual. Sales jump 12% in a single season.

2. The Marketing Agency’s Client Dashboard

A marketing agency uses AI to pull campaign data from ads, email, and social channels into one dashboard. Rather than chasing reports, the team asks the system in plain English: “Which campaigns are driving the best ROI this month?” The AI responds instantly with conversion metrics and recommendations to boost underperformers.

3. The Creator’s Content Optimization Engine

A YouTuber uses AI analytics to track viewer retention, keywords, and engagement trends. It recommends posting times and content types that historically drive higher watch time. Within one quarter, the creator grows their audience by 27% — all without hiring an analyst.

These aren’t sci-fi scenarios. They’re what AI-driven decision intelligence makes possible when paired with accessible interfaces and smart automation.

Try This in 10 Minutes

Want to get hands-on? Here’s a quick-start roadmap any small business owner or creator can try right now.

1. **Pick one data source** — something simple: website traffic, email opens, or sales data.
2. **Choose a tool** like Pyramid Analytics, Power BI, or Google Looker Studio with AI features.
3. **Ask one question** that actually matters for your business. Example: “Which product drives the most profit per customer?”
4. **Experiment with natural language queries.** Don’t code — just type.
5. **Act on one insight.** Pivot your next campaign, adjust your pricing, or reorder stock.

In 10 minutes, you’ll have a real, data-backed reason behind your next decision.

It’s not about drowning in reports — it’s about unlocking clarity.

Emerging Trends to Keep an Eye On

Kohl and other industry leaders see three major trends shaping AI’s next chapter in analytics:

– **The rise of the “citizen analyst.”** Analytics is becoming conversational. Everyone in your org will soon have data access through natural language queries.
– **Adaptive intelligence.** AI systems that learn your unique business context — tailoring insights to your workflows, customers, and goals.
– **Integrated ROI tracking.** Future platforms won’t just predict outcomes but measure how AI-powered decisions translate directly into profit and efficiency.

In short: data gets smarter, insights get faster, and your decision-making gets sharper.

FAQs

**1. What’s the difference between business intelligence (BI) and decision intelligence (DI)?**
BI focuses on descriptive analytics (what happened). DI extends that with predictive and prescriptive analytics — adding context, forecasting, and automated recommendations.

**2. Can small businesses afford AI-powered analytics platforms?**
Yes. Many vendors now offer scalable pricing, starting with free or low-cost tiers. Cloud-based tools let you pay only for the data volume or features you actually use.

**3. Do I need a data analyst to use AI decision tools?**
Not necessarily. Modern DI platforms emphasize “self-service analytics” — meaning you can operate them with minimal technical skill using plain language queries.

Step Into the AI Analytics Era

AI-driven data analytics isn’t a future promise — it’s a *now* solution. As Omri Kohl and Pyramid Analytics demonstrate, **decision intelligence** is making analytics accessible, actionable, and ROI-focused for everyone.

If you’re tired of running your business on intuition and want to anchor decisions in insight, it’s time to experiment with AI-powered analytics. The tools are user-friendly, the payoff is measurable, and the edge you gain is undeniable.

**Start small. Ask one better question. Let AI handle the complexity — so you can focus on the decisions that matter.**