EkoSuryahadi
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BI + MLOil & GasLIVE

Production Intelligence Dashboard

Combines production monitoring, anomaly signals, and operational insight so field teams can review performance from one trusted view.

Helps production teams move from delayed reporting to faster operational review.

Power BIDAXPythonSQL

The Challenge

Production teams need fast visibility into field performance, but source data often lives across manual sheets, delayed reports, and inconsistent KPI definitions.

The Solution

Designed an interactive BI layer for production KPIs, variance analysis, and operational monitoring across field and management views.

Key Features

  • Production KPI cards
  • Trend and variance analysis
  • Field/well filtering
  • Executive dashboard layer

Business Impact

  • Shortens time from data refresh to review
  • Improves consistency in production discussions
  • Supports clearer operating decisions with shared KPI definitions

Lessons Learned

  • The best dashboard mirrors the decision rhythm of the field team.
  • Domain naming and KPI definitions are critical for adoption.

Project Proof

Designed placeholder for architecture and evidence.

Real screenshots can be added later. For now, this proof layer documents the workflow, stack shape, and delivery logic behind the case study without inventing unavailable assets.

Architecture Summary

Designed an interactive BI layer for production KPIs, variance analysis, and operational monitoring across field and management views.

Workflow

01

Frame the operational question

02

Prepare and validate source data

03

Production KPI cards

04

Shortens time from data refresh to review

Stack Grouping

BI & Analytics

Power BIDAX

Data & ML

PythonSQL

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