Which department holds the most assets? Which branch has the highest assets per head? Which category has the oldest age profile? Distribution analysis presents "whether allocation is balanced / whether configuration is reasonable" intuitively via pie charts, bar charts and heat maps, providing data for resource allocation.
Different distribution dimensions answer different management questions
Bar charts show each department's asset count / net value; assets-per-head compared side by side surfaces "over-configured" and "under-configured"
Pie charts present asset category composition (electronics / furniture / vehicles / property / other), with a dual view of value and quantity share
A heat map shows asset count and net value across branches / warehouses / floors — nationwide distribution at a glance
Bar charts for four age bands — 0-1 year / 1-3 years / 3-5 years / over 5 years — clearly showing the aging structure
Cross heat maps like department × category / location × age band surface "which asset type is aging in which department"
Distributions severely deviating from the mean (over 2x / below 50%) are auto-flagged in red and yellow to draw attention
Admin per head over 3× the mean · auto-highlighted
R&D has 200 people and 15M in assets — 75K per head; Sales has 200 people and 3M — 15K per head. High R&D per head is normal (dev machines / servers), but can Sales per head be optimized? Distribution analysis visualizes this cross-comparison directly, providing a basis for budget allocation.
Branch asset net value (¥10k) · color depth = magnitude
For chains with many branches and stores, viewing asset allocation on a map is far more intuitive than a table. Heat map color depth maps to net value; hovering over a point shows that location's total assets, net value and monthly trend — the unusually few / unusually many at a glance.
The CFO uses department distribution to see which departments have the highest asset growth rate, combining business efficiency data to assess whether to keep investing next year.
Distribution analysis shows the Sales department's office computers skew old (60% over 5 years), so the manager requests a procurement budget for bulk replacement.
A branch manager opens the map distribution to compare assets per head against sibling branches of similar size, finding their branch's configuration gaps.
Audit finds a branch's asset count anomalous; drilling by location distribution clarifies it's a newly purchased bulk batch rather than an anomaly, clearing the suspicion.
Distribution is a cross-section; analysis in other dimensions adds depth
Distribution by in-use / idle / under repair reflects asset health
Distribution by lifecycle stage (inbound / in use / repair / disposal)
Distribution from a value perspective: comparing original value / net value / accumulated depreciation
The overview dashboard embeds key distribution charts as a daily entry point
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