Business Analytics in heavy industry: Corporate DWH and Dashboard Development

Business Analytics in heavy industry: Corporate DWH and Dashboard Development

Projects

In heavy industry, it is crucial to have a reliable business intelligence system and corporate data warehouse, taking into account multiple parallel running work processes. The project for creating an integrated analytics system was requested by the client for monitoring both business processes (investment, management) and production processes (construction-capital works).

Key Achievements of the abgroup.tech team

The team’s key achievements include the development of over 100 dashboards with custom visualizations based on CSS, HTML, JavaScript, and SVG.

Special attention was paid to:

• Establishing development standards

• Creating scaling tools

• Unifying widgets to improve work efficiency

The essence of the project from a business perspective is comprehensive tracking of production indicators: employee and environmental safety, equipment efficiency, downtime and costs, output of finished products, interaction with contractors, and much more.

Core Data Tasks

• Collecting and formalizing business requirements

• Developing data source integrations

• Implementing business logic for metric calculations

• Testing and data verification

• DBT implementation

Methodological Framework

• Deploying systems within the customer’s environment

• Developing a pipeline for logistics data

• Documenting solutions

• Training client specialists

Objectives and Outcomes

Strategic project goals:

• Optimizing data delivery process costs

• Reducing time-to-market (TTM)

• Improving data transformation reliability

• Automating DWH documentation

• Standardizing development processes

Technical outcomes included the development of multi-layered data transformation models, implementation of data contracts and auto-tests, as well as creating a Code-review system and developing ADB loading mechanisms based on clean architecture principles.

Key System Benefits

1. Unified development standards

2. Reliable data transformation mechanisms

3. Automated testing system

4. Scalable solution architecture

The implementation of business analytics tools is becoming one of the success factors in the metallurgy industry today, providing a competitive advantage and sustainable growth for enterprises.

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