74%
Catch issues first.
In 74% of firms, business users spot data incidents before data teams do (Monte Carlo). We build monitoring that alerts the accountable team first.
DataOps & DataLifecycle Management
Reliable, observable data pipelines that stay fresh, accurate and cost-efficient across the data lifecycle
A data platform is only as valuable as the data arriving in it each morning. Without disciplined operations, pipelines fail silently, quality drifts and costs creep.
This service runs and continuously improves your pipelines, covering orchestration, observability, quality SLAs, cost tuning and lifecycle policies, with one accountable team.
Why DataOps matters
Reliable data operations make issues visible early, shorten recovery time and stop poor-quality data from draining business value.
15 hrs
Recover faster.
Data incidents take about 15 hours on average to resolve today (Monte Carlo 2023). Clear ownership, runbooks and SLAs reduce recovery time.
$12.9M
Cut the cost of bad data.
Gartner puts the cost of poor data quality at $12.9M a year for the average firm. Continuous quality controls reduce that exposure.
What’s included
An accountable operating service covering the full pipeline and data lifecycle.
Pipeline orchestration and automation
Scheduling, CI/CD for data, testing and version control.
Data observability and quality monitoring
Freshness, volume, schema and quality SLAs, with alerting.
Incident and problem management
Triage, root-cause analysis and fixes within agreed SLAs.
Performance, cost and lifecycle management
Performance and cost optimization, plus retention, archival and deletion policies across the data lifecycle.
Engagement at a glance
Duration
A 4–6 week transition, followed by a 12-month rolling managed service.
Your engagement team
Service Delivery Manager, DataOps Engineers, a Data Quality Analyst and an Escalation Data Architect.
Tools and technologies
Orchestration such as Azure Data Factory and Airflow, plus data testing and observability such as dbt tests and Great Expectations.
Delivery partners
Delivered in-house, with data-platform and observability vendors engaged where required.
Pricing
A monthly subscription tiered by pipeline volume and SLA. Contact us for a quote.
What we’ll need from you
Access to your data platform and pipeline repositories, current incidents and SLAs, data owners for quality rules, and billing and usage data.
Related services
Ready to get started?
Start with a 4–6 week transition and hand your pipelines to one accountable team.