Data

Reliable, governed, observable data.

Summary

Pragmatic data architecture, quality and governance, ingestion pipelines, and data observability.

Typical cases

Data framing (use cases, data readiness, roadmap)
Building ELT/ETL pipelines and supervising data quality
Documentation and handover: playbooks, runbooks, DatOps

Deliverables

Data strategy and governance (quality, catalogs, access)
Robust ingestion pipelines (ELT/ETL) and controlled flows
Data observability and quality playbooks

Tooling / stack

ETL/ELTData catalog / governanceData observabilityDatOpsSecurity / IAM

Go further

Dive into our method, offerings, and adjacent expertise areas.

Method

SharedSight approach: short diagnostic, written decisions, guided delivery

Offerings

Offerings: mission types, expected outcomes, deliverables

Related expertise

Observability

Coherent instrumentation, alert budgets focused on users, operational dashboards. Less noise, more action.

Related expertise

Software & application architecture

Pragmatic target architecture aligned with security, scalability, and delivery constraints. Tracked decisions (ADR), incremental trajectories, guardrails to avoid drift.

Related expertise

AI / ML

Framing AI/ML use cases, deploying models and LLMs with monitoring, security, cost control, and guardrails for sensitive contexts.

Related expertise

DevOps / GitOps / CI/CD

CI/CD chains built to reduce MTTR: fast tests, quality, security, automated deployments, simple rollback.

Value in Vision

Move forward on this topic

Tell us about your context and constraints; we’ll come back to frame a tailored engagement.

Schedule a call Back to all expertise