svc / 01
Data engineering & pipelines
Warehouse design, ELT, and quality gates that make every downstream number trustworthy. Your stack, hardened from entropy to execution.
Scope this workch 01/05 — entropy
It starts as noise.
Several systems across different clouds and on-premises. Thousands of spreadsheets. Every team has numbers, and no two of them agree. This is where most data journeys begin: distributed, unaligned, and not yet telling its full story.
<10%
of enterprises are advanced in their insights-driven capabilities
Forrester · Data Strategy & Insights · 2023
ch 02/05 — discovery
First, we name everything.
Before a single pipeline is built, we map the full landscape: every CRM, ERP, event stream, flat file, API, and shadow spreadsheet. Ownership, freshness, and quality get recorded. Nothing is fixed yet — but for the first time, the mess has an inventory.
400+
avg. data sources per enterprise
Matillion & IDG Research · Optimizing Business Analytics by Transforming Data in the Cloud · 2019
ch 03/05 — design
Before we build, we design the logic.
Chaotic data doesn't need more tools. It needs a decision. What does "customer" mean across every system? What is a qualified lead? Which number is the number? We settle the definitions, model the domains, and agree the metrics layer before a line of production code is written.
80%
of Data & Analytics governance initiatives will fail by 2027 without a crisis or clear business outcome driving them
Gartner · Predicts 2024: Data and Analytics Governance Requires a Reset · 2024
ch 04/05 — synergy
Now everything moves as one.
Structure only earns its name when it moves. The models are built. The pipelines are live. Streaming ingestion has begun. Your entire analytics infrastructure runs to specification for the first time, with data models, algorithms, and business units working in perfect synchronisation. Finance sees ops in real time. Ops sees customers the moment something changes. The data flows to where decisions are made, automatically, without anyone exporting a CSV at midnight.
20%
of EBIT or more is contributed by data & analytics at high-performing companies
McKinsey & Company · Catch Them If You Can: How Leaders in Data and Analytics Have Pulled Ahead · 2019
ch 05/05 — signal
The same dots. Now they're a decision.
Every pixel you've scrolled past is still on screen. It just learned where to stand. That's the whole job: same data, new shape, better decisions. Nabigeta gets you here, then hands you the keys. And when the next question comes, you know where to find us.