Align Your Workforce Data With Your Existing Enterprise Data Strategy

How does labour efficiency connect to customer experience? How do scheduling outcomes correlate with revenue?

The data to answer those questions already exists in your environment. The problem is that it often lives in two different places, arrives through two different processes, and takes more work than it should to bring them together.

That’s exactly the fragmentation Snowflake was meant to reduce. For many organisations, the goal of adopting Snowflake was clear: centralize data, simplify governance, and give business teams a single place to access the information they need to make decisions.

Workforce data has a way of slipping outside that vision. Not because of any deliberate choice, it just ends up with its own delivery process, its own pipeline, and its own overhead. And the cost of that adds up in ways that are easy to underestimate. By the time it reaches your analytics environment, it’s already disconnected from the sales, operational, and financial data it should be sitting alongside.

If that sounds familiar, you’re not alone. And the fix is simpler than you might expect.

What Legion Offers Through Snowflake Secure Data Sharing?

Through Snowflake Secure Data Sharing (SDS), Legion gives customers the option to receive Legion Raw Data Extracts natively inside their Snowflake environment. It is the same data customers already get today, delivered through Snowflake instead of through file-based extract processes.

Snowflake SDS works through Snowflake’s native data sharing capability, which means Legion isn’t copying or transferring your data into a separate location. Instead, Legion makes that data accessible directly within your existing Snowflake account.

There is no new data model, no new extract definitions, and no need to redesign the dashboards and pipelines your team has already built. The underlying data structure stays exactly the same. What changes is how the data gets to you.

That change matters. It eliminates the file transfers, ingestion steps, and pipeline overhead that currently sit between your workforce data and the rest of your analytics stack. It also helps eliminate the multi-day lag between when data lands and when it’s actually usable, while reducing the breakage that happens every time a source schema shifts.

That’s what turns the two-extract, manual-join problem into a Snowflake-native workflow.

What You Can Now Do With It

Through Snowflake SDS, you get access to Legion’s Raw Data Extracts, including:

• Demand Forecast Entity: projected labour demand at the location and time-period level
• Labour Guidance Entity: recommended labour allocation and scheduling guidance
• Labour Task Entity: task-level data capturing planned or performed labour activities
• Location Attribute Entity: configuration and attribute data associated with each location
• Location Day Attribute Entity: day-level attribute data per location, enabling temporal analysis

For data and analytics teams, this means existing workflows can point to Snowflake-native sources without rebuilding integrations, rewriting transformation logic, or retraining anyone on new schemas. The lift is minimal. The unlock is significant.

Once workforce data lives alongside your other enterprise data, the analysis that becomes possible changes. A retail team can start connecting labour deployment to store performance without first moving data between systems. A healthcare operator can correlate scheduling outcomes with patient throughput in a single query. A logistics organisation can model the relationship between labour efficiency and delivery performance using a single unified dataset rather than manually stitching together extracts.

These aren’t edge cases or stretch goals. They’re the natural outcome of workforce data finally living where it should have been all along, inside your data strategy instead of running parallel to it.

The question at the top of this article—how labour efficiency connects to customer experience—stops being a special project and starts becoming a query.

No New Governance Overhead for Your IT Team

If you work in IT or data governance, your first question is probably: what new complexity does this introduce?

The answer is none.

Your workforce data in Snowflake is isolated to your organisation. No other customer can see or access it. Once it’s in your Snowflake environment, you govern it exactly the way you govern everything else: using your existing access controls, security frameworks, and compliance processes.

There’s no new vendor sitting in the middle of your sensitive workforce data. No new governance model to build. No separate security posture to maintain. You’ve already built the infrastructure to manage data in Snowflake at scale. This just adds raw workforce data extracts to the scope of that infrastructure.

Is This the Right Fit?

The Snowflake SDS offering by Legion is the right fit if you are a Legion customer and if your organisation has made Snowflake a core part of your analytics infrastructure, and you currently receive Legion Raw Data Extracts through standard extract delivery.

It’s particularly relevant if your data engineering and Business Intelligence (BI) teams are actively managing Snowflake pipelines, and if workforce data is an input to broader operational or financial analysis. If your team has ever had to explain why workforce data can’t be easily joined to everything else in Snowflake, this is the answer.

It’s an optional offering, not every Legion customer will need it, and it isn’t a replacement for standard extract delivery for customers not on Snowflake. But if Snowflake is your enterprise data platform, and you want your workforce data to actually be part of your enterprise data strategy, this is how you get there.

Workforce Data That Works as Hard as the Rest of Your Stack

The organisations that get the most out of their workforce data are the ones that stop treating it as a secondary input with its own separate infrastructure. When it lives inside the same environment as your sales, operational, and financial data, it becomes something your teams can use directly in the same tools, the same workflows, and the same queries where every other business-critical dataset already lives.

That’s the difference between workforce data being a system you check and workforce data being an answer you already have.

Snowflake SDS by Legion is built on a simple idea: your workforce data shouldn’t live outside your enterprise data strategy. If you’re on Snowflake, now it doesn’t have to.

To learn more about Legion Snowflake SDS and whether it is the right fit for your organisation, contact your Legion representative or visit legion.co.