Managed Services
Aug 24, 2024•4 min read
When to Automate Data Workflows
Sometimes the spreadsheet is fine.
The Manual Data Trap
Export-Transform-Import
Someone spends hours every week downloading CSVs, fixing them in Excel, and uploading somewhere else.
Single Point of Failure
One person knows how to run the reports. When they're out, everything stops.
Data Never Matches
Sales says one number, finance says another. Nobody trusts the reports.
Delayed Decisions
By the time you get the data, it's already stale. You're always looking backward.
Error-Prone Processes
Copy-paste mistakes. Wrong date ranges. Forgotten steps. Broken formulas.
No Audit Trail
When something's wrong, you can't trace it back. Data just disappears into spreadsheets.
What We Build
01
ETL & Data Pipelines
Automated data movement and transformation.
●Source system extraction (APIs, databases, files)
●Data cleaning and normalization
●Business logic transformations
●Destination loading (warehouses, apps)
●Incremental and full refresh patterns
●Error handling and data quality checks
02
Cloud Data Infrastructure
Modern data platforms on AWS or GCP.
●Data warehouse setup (Snowflake, BigQuery, Redshift)
●Data lake architecture
●Real-time streaming (Kafka, Kinesis)
●Serverless compute (Lambda, Cloud Functions)
●Infrastructure as code (Terraform)
●Cost optimization
03
Workflow Orchestration
Reliable, observable data workflows.
●Pipeline orchestration (Airflow, Prefect, Step Functions)
●Scheduling and dependency management
●Failure handling and retries
●Monitoring and alerting
●SLA tracking
●Self-service job management
04
Reporting Automation
The reports people actually need.
●Automated report generation
●Scheduled email delivery
●Dashboard data pipelines
●Multi-system data consolidation
●Historical trending
●Self-service analytics prep
Beyond Basic Automation
| DIY / Basic Tools | Engineered Pipelines |
|---|---|
| Fragile point-to-point scripts | Resilient, monitored pipelines |
| No error handling | Automatic retry and alerting |
| Manual intervention required | Self-healing where possible |
| No visibility into failures | Full observability |
| Undocumented tribal knowledge | Version-controlled, documented |
Best For
Teams and organizations who have:
→Manual data processes eating up staff time
→Data quality issues causing business problems
→Multiple systems that need to stay in sync
→Reporting delays affecting decisions
→Compliance requirements for data lineage
→Plans to scale beyond current manual limits
Ready to Automate Your Data?
We'll map your current data flows, identify automation opportunities, and show you what reliable pipelines look like for your use case.
Book a Discovery Call→or email partner@greenfieldlabsai.com
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