Data Health & Definitions

What the numbers for all locations are made of. Badge attendance is a real export; occupancy is modeled from it, and the two are never merged.

Badge Badge system · who showed upOccupancy · Modeled Modeled: derived from badge arrivals with estimated stay lengths — no occupancy counters are installed yet
Badge data through
2026-09-17
Badge

Last date in the export

Export window
Mar 10 – Sep 17, 2026
Badge

Static snapshot, not a live feed

Occupancy zones
0
Occupancy · Modeled

Modeled from badge arrivals

Occupancy counters installed
0
Occupancy · Modeled

No measured occupancy at this site

Feed status

One row per ingestion source. Nothing downstream mixes these two.

FeedSourceScopeStatusLast sampleLagGrainCoverage
Badge feedBadgeThe Woodlands · entries only, no exitsHealthyas of 2026-09-17 4pStatic exportFirst entry per person per day100%
Occupancy (modeled)Occupancy · Modeled4 zones · The WoodlandsModeledderived from badge feedModeled from badge arrivals · 15-min

What's real vs modeled

Stated plainly, so no figure on this dashboard is mistaken for something it isn't.

  • Badge attendance — real
    A de-duplicated export of badge entries from the access-control system, 2026-03-10 through 2026-09-17. One first entry per person per day. There are no exit records, so departures and dwell time do not exist in the data.
  • Occupancy — modeled
    No occupancy counters are installed at this site. Concurrent presence is estimated from each badge arrival plus a modeled stay length, then apportioned across zones by capacity. Every such figure is tagged OCCUPANCY · MODELED.
  • Departments — not available
    The export carries no department or cost-center mapping, so every employee currently appears under a single team.
  • Capacity — from the site directory
    Planned seats, physical capacity, target utilization and working hours come from Sites administration and are editable there. They are placeholders until confirmed.

Metric glossary

Source, numerator, denominator, date basis, and working-hours basis for every metric in the product.

MetricSourceNumeratorDenominatorDate basisHours basis
Employee Utilization %BadgeUnique Employee-class people present (counted once per day)Site capacity (planned seats)Event local dateAll hours (arrival can precede working hours)
Total OccupancyOccupancy · ModeledEveryone physically inside — employees, visitors, contractors, delivery/service, unknownn/a (compare to capacity)Sample local date, local dateWorking hours only
Primary vs Other badge-inBadgeBadge-INs at the person's assigned office vs another officeAll employee badge-INsEvent local dateAll hours
Attendance frequencyBadgeEmployee days presentEligible business days (expressed as days/week)Event local dateAll hours
Avg daily attendanceBadgeDistinct persons with ≥1 badge-INIncluded workdaysEvent local dateAll hours (arrival can precede working hours)
Presence rateBadgeDistinct primary-population badge entriesDistinct employees seen in the exportEvent local dateAll hours
Median arrival timeBadgeMedian minute-of-day of first badge-IN per personn/aEvent local dateAll hours
Days per weekBadgeEmployee days presentEligible business days in window, expressed per 5-day weekEvent local dateAll hours
Avg daily peak occupancyOccupancy · ModeledMax concurrent occupancy per day, averagedn/a (compare to physical capacity)Sample local date, local dateWorking hours only
Avg working-hour occupancyOccupancy · ModeledMean of 15-min net occupancy samplesSamples in working windowSample local dateWorking hours only
Space utilizationOccupancy · ModeledAvg working-hour occupancyAvg effective planned seatsSample local dateWorking hours only
Occupancy band shareOccupancy · ModeledWorking-hour samples in band (<20 / 20–40 / 40–70 / >70%)All working-hour samplesSample local dateWorking hours only
P95 daily peakOccupancy · Modeled95th percentile of daily working-hour peaksn/aSample local dateWorking hours only
Seats justifiedOccupancy · ModeledP95 daily peakTarget utilization at peakSample local dateWorking hours only
Target headroomOccupancy · Modeled(Target × avg effective planned) − avg daily peakn/aSample local dateWorking hours only