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Data Modernisation

Build a governed, modern data foundation so every report and decision draws from the same reliable numbers.

Why it matters

The business challenge

When data lives in silos and reports are assembled by hand, every meeting starts with a debate about whose numbers are right. Analysts spend their time extracting and reconciling instead of analysing, and new questions take weeks to answer. Ambitions around analytics and AI stall because the underlying data foundation cannot support them.

You might recognise this

  • Different teams report different numbers for the same metric.
  • Analysts spend the bulk of their time extracting and cleaning data rather than analysing it.
  • Reports are built manually in spreadsheets and refreshed by hand every cycle.
  • There is no single agreed source for customer, product, or vendor master data.
  • Data requests to IT take weeks, so the business builds its own shadow extracts.
  • Analytics and AI initiatives stall on data quality and access issues.

The solution

How PASDACS helps

PASDACS designs and builds modern data platforms — warehouse or lake architectures on cloud platforms — with the engineering pipelines, master data management, quality rules, and governance needed to make them trustworthy. On that foundation we deliver executive and operational dashboards, self-service analytics, and automated reporting, replacing manual extracts with governed, refreshed data products.

Services included

  • Data strategy and maturity assessment
  • Data architecture and cloud data platform implementation
  • ETL and ELT pipeline engineering
  • Data warehouse and data lake delivery
  • Master data management and data quality frameworks
  • Data governance and cataloguing
  • Executive and operational dashboard development
  • Self-service analytics enablement and reporting automation
  • Data platform support and managed operations

How we deliver

Delivery approach

1

Assess

Evaluate current data sources, quality, architecture, and the decisions the business most needs supported.

2

Architect

Design the target data platform, models, and governance structures, prioritised by business value.

3

Build

Engineer pipelines, implement the platform, and migrate priority data domains with quality controls.

4

Deliver insight

Release dashboards, KPIs, and self-service analytics against the governed foundation, domain by domain.

5

Operate and grow

Support the platform, monitor quality, and extend to new domains and advanced analytics use cases.

Tooling

Technology ecosystem

  • Major cloud data platforms
  • Modern BI and analytics tools
  • ETL and ELT tooling
  • Data governance and cataloguing tools
  • Master data management platforms

Outcomes

What you can expect

  • One agreed, governed source of truth for key business metrics
  • Much less time spent preparing recurring reports
  • Decision-ready dashboards refreshed automatically instead of assembled manually
  • Data quality measured, monitored, and owned
  • A foundation ready to support advanced analytics and AI use cases

Related

Explore further

Related capabilities

Data, Analytics & BI

Build reliable data foundations and turn information into confident business decisions with analytics and BI.

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Systems & Technology

Select, implement, build and support the enterprise systems and bespoke applications your business runs on.

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Facing this challenge in your organisation?

Talk to us about where you are today and what a practical first step could look like.