Contexts
Typical cases
- Data framing (use cases, data readiness, roadmap)
- Building ELT/ETL pipelines and supervising data quality
- Documentation and handover: playbooks, runbooks, DatOps
Expertise
Data
Reliable, governed, observable data.
Overview
Pragmatic data architecture, quality and governance, ingestion pipelines, and data observability.
ETL/ELTData catalog / governanceData observabilityDatOps
Deliverables
What you get
- Data strategy and governance (quality, catalogs, access)
- Robust ingestion pipelines (ELT/ETL) and controlled flows
- Data observability and quality playbooks
Tooling
Stack and tools involved
ETL/ELTData catalog / governanceData observabilityDatOpsSecurity / IAM
Go further
Method
SharedSight approach: short diagnosis, written decisions, and guided implementation
Offerings
Offerings: engagement models, expected outcomes, and implementation
Related expertise
ERP, management software & business tools
Selection, framing, integration, and evolution of the software that runs day-to-day activity: ERP, sales management, invoicing, activity tracking, and business applications.
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 implementation 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.
Value in Vision