Move to Modern Analytics

“Our data is everywhere and nobody trusts the reports”

Data locked in silos. Excel spreadsheets, legacy data warehouses, and third-party tools that don't talk to each other. Decision-makers wait days for reports that are already stale by the time they arrive.

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Where you'll be

Unified data lake with dashboards your stakeholders trust.

Automated pipelines feeding real-time dashboards. Data accessible to everyone who needs it, governed for everyone who doesn't. Decisions based on facts, not gut feel.

Your data should be your competitive advantage. Instead, it’s a liability. Scattered across systems that don’t talk to each other, locked in formats that only one person understands, and summarised in reports that nobody fully trusts.

The irony is that you’re drowning in data while starving for insight. Every decision involves someone exporting a spreadsheet, manually reconciling numbers, and presenting findings that are already out of date.

Why data projects stall

Most analytics initiatives fail not because the technology is wrong, but because the foundation is missing.

You can’t build dashboards on data you can’t find. You can’t find data that isn’t catalogued. You can’t catalogue data that isn’t governed. And you can’t govern data when nobody has mapped what exists, where it lives, or who owns it.

This dependency chain is why data projects drag on for months. Teams jump to the exciting part. Dashboards and visualisations, without sorting out the plumbing underneath. Six months later, nobody trusts the dashboards because the data feeding them is inconsistent.

How we do it

We start with the data, not the dashboards. The visualisation layer is the last thing we build. Because it’s only as good as what feeds it.

Source inventory and quality assessment. Every data source mapped. Format, freshness, ownership, quality issues. You can’t integrate what you haven’t catalogued. This step alone often reveals duplicate sources, stale feeds, and orphaned datasets nobody knew existed.

Automated pipelines with AWS Glue. Data extracted, transformed, and loaded into a centralised data lake on S3. Pipelines run on schedule or in real time with Kinesis. No more manual exports. No more spreadsheet reconciliation.

Governed access with Lake Formation. Fine-grained access control down to the column level. Your analysts get self-service access to what they need. Sensitive data stays protected. Every query is auditable.

Dashboards built on trusted data. QuickSight dashboards designed with your stakeholders, validated against existing reports, and deployed only after sign-off. The numbers are right because the pipeline is right.

What's usually in the way

  1. Data scattered across incompatible systems

    Your data lives in a dozen places. CRM, ERP, spreadsheets, SaaS tools, legacy databases. Each has its own format, its own update schedule, and its own version of the truth.

  2. No data governance or cataloguing

    Nobody knows what data you have, where it lives, or who's allowed to see it. Sensitive data is mixed with operational data. There's no catalogue, no lineage, no access control worth the name.

  3. Existing reports are undocumented tribal knowledge

    Your current reports were built by people who've since moved on. Nobody knows the logic behind the numbers. Stakeholders don't trust them, but there's nothing better to replace them with.

What we resolve

  1. Data source inventory and integration strategy

    We map every data source. Format, freshness, quality, ownership, and design an integration strategy that brings everything into a single lake. AWS Glue handles the ETL. You get one source of truth.

  2. Lake Formation governance with fine-grained access

    AWS Lake Formation provides cataloguing, lineage tracking, and column-level access control. Your data team can find what they need. Everyone else sees only what they're authorised to.

  3. Report validation and migration with stakeholder sign-off

    Existing reports are reverse-engineered, documented, and rebuilt in QuickSight. Each one validated against the old output before stakeholders sign off. No silent changes to the numbers.

Ready to take the next step?

No obligation, just a clear conversation about where you are and what's possible.