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Analytics Reports

Analytics Reports · Six-Dimension Analysis of Status, Distribution and Value

"How many assets does the company have? Which departments hold the most? What's the average lifespan? Which asset type costs the most to maintain?" — these shouldn't wait for a question to dig into Excel. Six-dimension dashboards across status / distribution / value / efficiency / lifespan / maintenance cost are open anytime, so boardroom briefings, annual budgets and procurement decisions all speak with data.

6
Analysis Dimensions
📊
Real-Time Dashboards
📥
Excel / PDF Export
Capabilities

Six Dimensions to See the Whole Asset Picture

Each dimension answers a core management question — see it and you can decide

🔘 Status Distribution

What share is in-stock / checked-out / under-repair / disposed / idle; identifying idle assets is the first step to cutting costs

📍 Department / Location Distribution

Asset quantity and value by department / floor / city, surfacing departments with uneven resources

💰 Asset Value

Total book value / accumulated depreciation / net value by category / department — the basis for auto-generating financial reports

📈 Utilization Efficiency

Checkout rate, idle rate, average usage hours (for production equipment), surfacing the waste of "bought but unused"

Lifespan Analysis

Average lifespan by category vs. the manufacturer's promise; forecast next year's disposal wave to budget for renewal early

🔧 Maintenance Cost

Cumulative maintenance cost as a share of asset value, triggering a "repair beats replace" alert when over 30%

asset.shangbangke.com/analytics/dashboardDashboard
Db
Asset Analytics Dashboard
YoYDrill
¥12.86MTotal Value
¥2.18MYTD Invest
136Idle Assets
+8%Over Budget

Asset investment by quarter (¥10k) · YoY ↑

42Q1
66Q2
51Q3
59Q4

No More "Let Me Look That Up" in Boardroom Briefings

"How much did we invest in assets this year? Which department has the most idle assets? How much over budget is maintenance cost?" — finance once had to pull and summarize data for ages whenever asked. With the dashboards built, the boss opens them directly, saving time on reviews / briefings / decisions.

  • Dashboards customized by role: the boss sees the value summary, the asset clerk sees detail
  • Year-over-year / month-over-month comparison charts make trends clear at a glance
  • Key metrics over threshold are highlighted in red so problem points aren't missed
  • Drill-down analysis: click a chart to drill into specific asset detail
asset.shangbangke.com/analytics/exportExport Center
Ex
Report Export Center
SettingsExport Now
FormatUse · ContentStatus
ExcelFinance · detail + summary sheetsReady
PDFAudit · with logo & watermarkReady
PNGBriefing · chart screenshotExporting
ExcelFull 120k rows · asyncEmail Link

Export Excel / PDF for Finance / Audit

Finance reports want Excel, audit reports want PDF, briefing meetings want PPT screenshots — the same data goes to different people in different formats. All reports support one-click export, professionally formatted, with complete fields, ready to deliver.

  • Excel export with a dual view of detail sheet and summary sheet
  • PDF export with company logo and watermark, in formal document form
  • Supports templated export — a fixed format used year after year
  • Large-volume exports run async in the background, with a download link sent by email
Use Cases

Core Use Cases for Analytics Reports

Annual Asset Review

At year-end, brief the group on the year's asset overview, presenting status / value / additions & disposals in one report

Budget Decisions

Use lifespan analysis to forecast next year's disposal wave, compare maintenance cost to decide "repair vs. replace," and submit the budget with evidence

Cutting Idle Costs

Idle-rate analysis surfaces assets unused for over 3 months, to transfer to other departments or dispose of for cash

Audit Response

Financial / regulatory audits require an asset distribution and value list — export a PDF in one click and submit on site

Related Features

Where the Report Data Comes From

Reports are the result — only after registration / transfer / stocktaking / servicing actions settle into data does analysis become meaningful

Let Asset Management Speak With Data

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