Still playing catch-up? Act fast and get ahead with these mid-year priorities
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Hi—how is 2025 going for you? Good? Bad? Unsure?

 

We're a few months into the year—and if you’re trying to figure out where to focus your next data moves, you’re not alone. There's a lot of noise to navigate.

 

To help, today we’ve got a quick market perspective from our CEO, David Fussichen, with his thoughts on AI trends, other technology he’s excited about, and where companies continue to get it wrong with data investments.

Plus, we got a pulse check from some of our experts—with five big impact items that should be on every business leader’s radar.

 

Think of this as your Q2 data strategy check in.

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Let's get to it!

 

Tracey Doyle

Chief Marketing Officer

Analytics8

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Data Priorities Video Title Slides

▶️ Five of our experts break down what’s driving real results right now — like why Agentic AI is clicking with business users, how XAI builds trust, what makes today’s unified semantic layers different, how to shift your data team toward higher-ROI work, and how to take a more balanced, practical approach to data governance. Watch now

In the video: advice on where to focus to see big impact with your data 

👉 Market Perspective from Analytics8 CEO (00:00)

Including AI trends, tech he's excited about and data investment mistakes.

👉 Agentic AI (04:14)

 

Business users are finally getting context they can use—thanks to natural language tools that make BI actually understandable. But these tools are only as good as your foundation.

 

Step one: Define business metrics and attributes. Every agentic tool depends on it.

👉 Explainable AI (XAI) (05:38)


AI won’t drive adoption if people don’t trust the output. XAI opens the black box — showing users how AI models arrive at decisions through logic, parameters, and decision trees.

 

Use it to: Build confidence and transparency around AI-powered insights.

👉 Unified Semantic Layers (02:40)


Forget the old static layers. Today’s semantic layers are dynamic, connected across platforms, and essential for scaling AI.

 

To get started: Standardize your metrics and know which data feeds each one — AI will need that clarity.

👉 Purpose-Built Data Teams (07:44)


Stop wasting resources on low-impact work. Companies seeing real ROI are shifting data teams away from IT-heavy tasks and toward domain-driven, business-aligned initiatives.

 

Where to focus: Cloud cost optimization and strategic team realignment.

👉 Data Governance (01:08)
Governance isn’t about red tape — it’s about clarity and control baked into everyday workflows.

 

Start with: Clear policies, ownership, and decision rights. Then layer in tools like catalogs, lineage, and access controls to operationalize it across the org.

🍿 Get a pulse check on data priorities →

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