Data Center Intel Suite

The Challenge

Substation proximity starts with a GIS pull. Zoning eligibility sits buried in municipal code and ownership hides behind layers of shell entities. There isn't a single system that holds the full profile.

Your site passes the initial screen and enters diligence. Three weeks in, a zoning restriction appears. After the LOI, a power gap surfaces. Each discovery resets the clock. The firm that moves on validated data wins the site.

When the data is late, the decision is late. How many sites has your team lost while waiting on answers that should already exist?

Macro-Market Intelligence

Know which markets are worth entering before your capital does. Screen 210+ MSAs and thousands of zip codes using 451 Research metrics - Net Absorption, UPS Utilization, and Watts/Sqft - across multiple periods. The Feasibility Index ranks every market against the national average and flags those in the top 10th percentile for parcel suitability. Track historical trends to spot market saturation before the next wave of capital arrives.

The Precision Screener

Move from a city-wide view to a filtered list of parcels that match your buy box. Every parcel carries a 0-100 score for zoning eligibility, power proximity, flood risk, and community compatibility - including a NIMBY score based on proximity to schools, residential zones, and community density. Calculate distance to S&P Substations and Transmission Lines from any site. No spreadsheet modeling required.

Technical Due Diligence

Consolidate everything your Investment Committee needs before anyone opens a data room. View historical and forecasted power capacity versus availability for nearby plants. Unmask true ownership behind shell entities to surface motivated sellers and flag contiguous lot assembly opportunities. One exportable view covers energy forecasting, demographic alignment, and ownership structure - ready for IC reporting on day one.

Can we keep using our existing data sources and layer them into Cherre?

Yes. The platform is built to connect and resolve data across sources, not replace your existing stack. We might have recommendations, but if your team already licenses specific market data or research tools, those can also be integrated into the same workflow.

How long does it typically take to go from onboarding to having a working dashboard?

The solution is delivered as pre-built dashboards configured to your specific buy box parameters. The underlying data is pre-resolved on day one. Most clients are working in the platform within days and weeks of kickoff, not months.

Can we filter by hyperscaler, neocloud, and enterprise-focused markets?

Yes. The platform supports filtering by data center type and by tenant or client field. Using a combination of fields and filters, your team can build a market view that works for your buy box.

How does the platform calculate proximity to power infrastructure? Is it straight-line or driving distance?

The current POI proximity calculations use a geospatial distance model based on coordinates. The team has worked through edge cases around how distance buckets are displayed (for example, "less than 1 mile" vs. "1 to 5 miles") to avoid double-counting. If a specific calculation methodology is important to your workflow, that is a configuration discussion during implementation.

Can we export data to Excel for offline analysis or to share with team members who are not in the platform?

Yes. Market ranking tables, data center lists, and parcel-level detail are all exportable to Excel directly from the dashboard. You can export at the market aggregate level or drill down to individual data centers and parcels.

Cherre