Managing Data Health

Good data health isn't just about having the right numbers - it's about making smarter decisions, spotting risks early, and keeping your revenue predictable. Inconsistent or incomplete data can lead to misleading reports, unreliable forecasts, and missed revenue opportunities.

Think of your data as the foundation of your business decisions. If key details like contract dates, unit availability, or pipeline status are missing or incorrect, you're operating with blind spots. That can mean anything from mispricing a unit to failing to renew a key client.

Managing Data Health

Staying on top of data health means:

1. Getting a clear, accurate picture of your revenue pipeline
2. Spotting issues before they become problems (e.g., expiring contracts, unused inventory)
3. Improving operational efficiency by ensuring teams work with the most up-to-date insights

The good news? Most data health issues are preventable with regular checks and small process tweaks. Below, we break down the key areas—contract health, unit health, and pipeline health—and how to keep them in great shape.

Why does contract health matter, and what should I check for?

Contract health directly impacts revenue visibility and forecasting. Watch out for:

• Contracts missing an end date - This can lead to inaccurate revenue projections.
• Contracts with unusually long durations - Ensure contract terms align with your standard policies.
• Contracts not linked to a unit - If a contract isn't assigned to a specific workspace, reporting accuracy suffers.
• Expired contracts still marked as active - A contract with a past end date but no renewal can cause misleading revenue figures.

Quick fix: Regularly review active contracts and ensure all details (start/end dates, unit assignments) are up to date.

What affects unit health, and why is it important?

Unit health ensures accurate inventory and pricing insights. Missing or incorrect data can skew reporting. Common issues include:

• No unit capacity or size listed - This affects utilisation tracking and reporting.
• Missing region, city, or country details - Location-based reports won't be accurate if these fields aren't populated.
• No target price set - Without a defined price, discount percentages and revenue performance metrics can-t be calculated.

Quick fix: Ensure every unit has key details filled in, so your reports remain reliable and insightful.

How can I improve pipeline health?

A well-structured pipeline means better forecasting and deal tracking. Keep an eye out for:

• Deals missing location, product, or desk requirements - These must be in place to map deals to available inventory.
• End dates in the past - If a deal's end date has passed, it should either be closed or updated.
• Deals without a contact assigned - Every deal needs a clear owner to avoid stagnation.

Best practice: Set a reqular check-ins to review your pipeline for incomplete or outdated deals.