Enterprise Data Architecture Reimaged: How ArcPilot transformed Data Operations for Secto Services

Secto Services, a project management and engineering firm specialising in telecoms and critical infrastructure, faced significant operational challenges as it expanded across Ireland, the UK. The company’s reliance on complex GIS mapping systems and diverse large datasets was crucial for managing projects across Fixed Line and Wireless Telecoms. However, as their operations grew, consolidating and analysing data across multiple platforms and datasets became increasingly difficult and time-consuming.

Challenges

• Multiple hours per day spent manually creating operational reports

• Data inconsistencies affecting project timelines

• Limited visibility across operations led to delays in critical decision-making

• Growing technical debt from legacy data management practices

With data collated across various systems, Secto struggled to create a unified view of project information, Sector Services recognised the need for a comprehensive, modern, enterprise data architecture.

Solution

DREAMDEV implemented a comprehensive data modernisation programme powered by their ArcPilot platform. The solution transformed Secto's data architecture from fragmented legacy systems to a modern, cloud-native environment

The solution included:

• Enterprise-grade data lake architecture in Azure, providing a single source of truth

• Automated data ingestion service handling dozens of disparate data sources

• Visual data transformation workflow enabling business users to create complex data pipelines

• Built-in DataOps practices ensuring code quality and deployment automation

  
  

  

  
  

With the new platform, ArcPilot enables the team at Secto to produce end-to-end data pipelines by simply describing the requirements for the data set they would like to create. The solution was implemented in just a few weeks, achieving a rapid MVP that enabled immediate productivity gains.

Measurable Impact

The solution delivered substantial operational improvements:

Data Operations Efficiency

• 99% reduction in manual data processing time

• Data pipeline creation time reduced from weeks to hours

• Zero errors in automated data processing

• Production-ready data pipelines automated from business requirements

Enterprise Architecture Modernisation

• Unified data governance across all business units

• Real-time data availability enabling proactive decision making

• Future-proof architecture supporting business growth

Strategic Benefits

• Enhanced project delivery capabilities through accurate, timely data

• Improved client satisfaction through real-time project visibility

• Reduced technical debt through modern architecture