Snowflake Intelligence: Move from data rich to insight rich
7 minute read
2 December 2025
You’ve all been in that meeting where someone asks, “How have defects changed since we implemented the new roster last month?”
There is a pause. Everyone looks at each other. Finally, someone says, “We’ll check and get back to you.” The question becomes a ticket. The decision is delayed.
Enter Snowflake Intelligence on trusted data
The question can be asked and refined during the meeting. The room gets an answer in real time. Decisions shift from post-meeting follow-up to in-meeting action.
This is the difference between being a data-enabled organisation and a decision-ready one.
Snowflake Intelligence brings AI capability to where your data already lives, with a simple-to-use chat interface.
Start where you are: No matter where you are on your data journey, you can begin to explore your business through the chat interface.
For organisations that have strong foundations, when you combine AI with well-modelled, well-governed data, something important happens:
You move from being data rich to being insights rich.
For many years, teams have invested in:
- centralising data
- improving quality
- building models
- governance
- security
Snowflake Intelligence unlocks the value of that foundation.
Altis is proud to be a Recommended Launch Partner for Snowflake Intelligence.

Below is a practical look at what Snowflake Intelligence is, what it enables, and where Altis sees real opportunity for our clients.
With Snowflake Intelligence, anyone can ask questions of your trusted data and get fast, reliable answers. Paired with business knowledge and trusted, widely used data, Snowflake Intelligence improves how teams work, meet, and make decisions each day.
The Shift: From Data Rich to Insights Rich
Most organisations are already data rich. They have warehouses, dashboards, pipelines, and years of curated information. We are entering an era where they can be insights rich.
Today we see common patterns:
- Leaders wait until after meetings to ask an analyst for follow-up numbers
- Analysts spend hours turning questions into SQL instead of focusing on analysis
- Teams are unsure which table or metric is the right one
- Decisions are paused because the right insights are not immediately available
Snowflake Intelligence enables a new way of working. It takes the trust built into your data model and makes it available to everyone. That trust is what Altis has been helping clients build for years.
When the foundation is strong, with AI you can reimagine how you do business.
Bringing AI and data to everyone
Leaders, product teams, frontline staff, and analysts can ask questions in plain English. Snowflake generates the SQL and returns answers based on governed, certified data assets.
To get trusted and reliable results, the underlying models, lineage, metadata, and quality controls need to be in place. That is exactly the world our Altis modelling and governance frameworks were built for.

Re-imagining Business Processes with Faster Speed to Insight
Below are real examples of how Snowflake Intelligence changes day-to-day work:
1. Leadership team meetings
Imagine running the marketing planning meeting with product, channel, analytics, and marketing teams. Someone would like to understand which attributes describe customers who buy product A vs product B.
Standard reports don’t cover this information. The analyst will then need to create this as an action from the meeting.
With Snowflake Intelligence, this question can be answered in the meeting, allowing for a faster, far more data-driven decision.
The entire flow of your business can change. Now, the outcome of the meeting is a decision – not a list of actions needed to enable the decision.
2. Operational teams making quick calls
Customer operations, finance, logistics, and service teams can use natural language to search the data they already have access to. Examples:
- “Show me all orders delayed more than 3 days last week.”
- “Which suppliers have had more than 2 quality incidents this quarter?”
- “What trends or patterns are there in our stock losses over the past 6 months?”
Instead of raising a request for an analyst, the insight is immediate.
3. Analysts moving from SQL-writers to insight-generators
After setup, the system can generate SQL and locate the right data. This frees analysts to spend more time thinking and less time plumbing. It increases the value of the analyst role and reduces turnaround times for the business.
The Altis Perspective: Why This Matters Now
Snowflake Intelligence is not a shortcut around data and AI governance, data modelling, or quality. It accelerates value because those foundations exist.
For over 25 years, Altis has helped organisations:
- Deliver value from ML and AI
- Model data clearly
- Design dimensional and semantic layers
- Build lineage, metadata, and documentation
- Establish data governance that enables rather than blocks
- Ensure data quality and trustworthiness
- Create warehouse structures that reflect real business processes
This is exactly the type of environment that allows Snowflake Intelligence to thrive.
Our proposition is simple:
Snowflake Intelligence gives new life to the established data that our customers have invested in. It unlocks insights that used to need an analyst or data science project. It enables decision makers to ask for what they need, in the moment.
In short: Strong data foundation + Snowflake Intelligence = immediate insight, lower friction, and better decisions.
How to Get Started With Altis
As an Elite Snowflake partner and recommended launch partner for Snowflake Intelligence, we help you move from experiments to safe, business ready use cases. Start with three practical steps:
1. Start with the foundation you already have
We assess whether your current modelling, metadata, and governance structures are “AI ready”. You're more ready than you think.
2. Run a guided Snowflake Intelligence MVP
Next, we design and deliver a focused Snowflake Intelligence MVP on one business process where speed to insight matters. For example:
- Leadership meetings
- Operational performance
- Customer experience
- Support or service analysis
Together we:
- Work with stakeholders to agree to the key questions, metrics and definitions
- Configure Snowflake Intelligence on top of your Snowflake models and security
- Test with real questions to make sure answers line up with your trusted reports
- Provide targeted training so the right people know how and when to use it
3. Embed and expand
Once the MVP is in place, we help you turn it into a repeatable pattern across the organisation.
Together we establish:
- A prioritised list of follow-up use cases with clear ROI
- Certified data assets and a governed semantic layer, with strong definitions and clear access patterns
- AI use guidelines, training, and enablement so staff know when to use Snowflake Intelligence and when not to
This ensures Snowflake Intelligence becomes a consistent, governed source of insight and ROI across leadership, operations and analytics, rather than a one-off pilot.
If you’re ready to take the next step, connect with us here and our team can guide you through what comes next.
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