Project DepEx: Depreciation Exploration and Visualization

Project DepEx delivered a scalable, automated solution for Conagra Brands to analyze and visualize asset depreciation across its extensive manufacturing network. By leveraging Python for data transformation and Power BI for interactive visualization, the team streamlined a previously manual, fragmented process into a unified, dynamic dashboard. This tool consolidates over 10 million data points from more than 100,000 assets and provides clear, actionable insights by fiscal period, facility, brand, and asset type. The solution enables Conagra to reduce analysis time by over 97%, enhance financial planning, and support more informed capital investment decisions that drive long-term value creation.

Publication Details

Journal
Insecta mundi
Published
2025-05-01
Primary Topic
Salmonella and Campylobacter epidemiology
Type
article
Field-Weighted Citation Impact
0.00
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article

Project DepEx: Depreciation Exploration and Visualization

Insecta mundi
Salmonella and Campylobacter epidemiology
article

Project DepEx: Depreciation Exploration and Visualization

article en

Abstract

Project DepEx delivered a scalable, automated solution for Conagra Brands to analyze and visualize asset depreciation across its extensive manufacturing network. By leveraging Python for data transformation and Power BI for interactive visualization, the team streamlined a previously manual, fragmented process into a unified, dynamic dashboard. This tool consolidates over 10 million data points from more than 100,000 assets and provides clear, actionable insights by fiscal period, facility, brand, and asset type. The solution enables Conagra to reduce analysis time by over 97%, enhance financial planning, and support more informed capital investment decisions that drive long-term value creation.

Insecta mundi
Industry, innovation and infrastructure
Openalex Percentile: Top 46%
Salmonella and Campylobacter epidemiology
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Project DepEx: Depreciation Exploration and Visualization · Insecta mundi (2025) | TGRS Research Map | TGRS