3D Modeling Analytics Dashboard by Krzysztof Bednarczuk3D Modeling Analytics Dashboard by Krzysztof Bednarczuk
3D Modeling Analytics DashboardKrzysztof Bednarczuk
Cover image for 3D Modeling Analytics Dashboard
I build a 3D Modeling Analytics Dashboard that turns your production data into clear, actionable metrics—asset throughput, cycle time, revisions, approvals, render/compute costs, and bottlenecks—so you can spot risks early and ship faster. It includes secure role-based access, drill-down asset timelines, and alerts/reports (Slack/email/webhooks) tailored to your workflow. What makes me unique is I focus on clean data modeling and production-grade ingestion, so the dashboard stays accurate and scalable as your team and asset volume grow.

What's included

3D Modeling Analytics Dashboard
Data Ingestion: Connectors/API to ingest 3D pipeline data (projects, assets, versions, renders, exports) from your tools (e.g., Blender/Maya logs, ShotGrid/FTrack, Git/LFS, S3) or CSV/JSON uploads. Normalized Data Model: Database schema for projects → assets → tasks → versions → approvals, with user/team attribution and timestamps. Core Metrics: Throughput, cycle time per asset, revision counts, approval latency, render/compute time, export failures, file size growth, and deadline risk indicators. Dashboards & Filters: Web UI with charts/tables for project health, artist productivity, bottlenecks, and trends—filterable by project, asset type, artist, date range, and status. Drill-Down Views: Asset-level timeline showing iterations, notes, approvals, render history, and links to source files/renders. Alerts & Reporting: Configurable alerts (Slack/email/webhook) for stuck assets, excessive revisions, failed exports/renders, and approaching deadlines; scheduled reports. Admin & Permissions: Auth + role-based access (admin/manager/artist), workspace support, audit logs. Deployment & Handoff: Dockerized deployment, environment templates, setup docs, and a short architecture walkthrough for future extensions.
Starting at$65 /hr
Service provided by
Krzysztof Bednarczuk proWest Jordan, USA
3D Modeling Analytics DashboardKrzysztof Bednarczuk
Starting at$65 /hr
Cover image for 3D Modeling Analytics Dashboard
I build a 3D Modeling Analytics Dashboard that turns your production data into clear, actionable metrics—asset throughput, cycle time, revisions, approvals, render/compute costs, and bottlenecks—so you can spot risks early and ship faster. It includes secure role-based access, drill-down asset timelines, and alerts/reports (Slack/email/webhooks) tailored to your workflow. What makes me unique is I focus on clean data modeling and production-grade ingestion, so the dashboard stays accurate and scalable as your team and asset volume grow.

What's included

3D Modeling Analytics Dashboard
Data Ingestion: Connectors/API to ingest 3D pipeline data (projects, assets, versions, renders, exports) from your tools (e.g., Blender/Maya logs, ShotGrid/FTrack, Git/LFS, S3) or CSV/JSON uploads. Normalized Data Model: Database schema for projects → assets → tasks → versions → approvals, with user/team attribution and timestamps. Core Metrics: Throughput, cycle time per asset, revision counts, approval latency, render/compute time, export failures, file size growth, and deadline risk indicators. Dashboards & Filters: Web UI with charts/tables for project health, artist productivity, bottlenecks, and trends—filterable by project, asset type, artist, date range, and status. Drill-Down Views: Asset-level timeline showing iterations, notes, approvals, render history, and links to source files/renders. Alerts & Reporting: Configurable alerts (Slack/email/webhook) for stuck assets, excessive revisions, failed exports/renders, and approaching deadlines; scheduled reports. Admin & Permissions: Auth + role-based access (admin/manager/artist), workspace support, audit logs. Deployment & Handoff: Dockerized deployment, environment templates, setup docs, and a short architecture walkthrough for future extensions.
$65 /hr