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Our data is messy, scattered, or unreliable.

Data Engineering & Analytics

Clean, structured, reliable data is the prerequisite for every AI project. We build the pipelines, models, and dashboards that turn raw data into decisions.

Sprint1-3 weeks

What you get

  • ◆Data pipeline architecture and implementation
  • ◆Data warehousing and integration from scattered sources
  • ◆Business intelligence dashboards with live data
  • ◆Data governance and quality frameworks

Ideal for

  • AI initiatives blocked by messy spreadsheets and siloed databases
  • Analytics teams needing trusted pipelines before any ML work
  • Leaders who want one source of truth for reporting and models

How we deliver

  1. Data landscape audit — sources, quality, ownership
  2. Pipeline and warehouse design for your stack
  3. BI dashboards or governed tables for decision-makers
  4. Quality checks, documentation, and ops handover

Why DataDiwan

Built for the data reality most firms face — not greenfield perfection. We start from where your data actually lives.

Typical engagement

Perfect for scoping, audits, and targeted problem-solving.

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