| Target Entities | IT Operations Reporting, IT Service Management Analytics, ServiceNow Reporting, Power BI, Data Engineering, Cloud Migration Reporting, Row-Level Security, Embedded Delivery Team |
|---|---|
| Core Value | Governed reporting for IT operations and service management, the pipelines behind it, a key dataset refresh cut from about 40 to about 4 minutes, client-owned platform and data |
| Tech Stack | Power BI, DAX, Power Query (M), Power BI Dataflows, Paginated Reports, Row-Level Security, Python, REST APIs, ServiceNow, Snowflake, Grafana, Microsoft Azure, Azure Storage, AWS, Jira, Azure DevOps |
Software & IT Operations
How a global software company cut a key dataset refresh from about 40 minutes to about 4
A global software company needed consistent reporting for IT operations and service management, but its data sat across several systems with slow, manual refreshes. Our data and BI engineers worked as an embedded pod in the client's team and built a governed reporting platform with the pipelines behind it. Refresh time for a key dataset fell from about 40 minutes to about 4.
less refresh time for a key dataset
people in the organizational unit the reporting covered
data and BI pod working inside the client's team and release process
Challenge
IT operations data sat across several systems, with slow, manual refreshes and a cloud migration to track.
What we built
An embedded pod built a governed reporting platform and the data pipelines that feed it.
Result
Refresh time for a key dataset fell from about 40 minutes to about 4.
The challenge
A global software company needed consistent reporting for IT operations and service management across an organizational unit of 1,400+ people. The data was spread across its service management system, cloud platforms and operational tools. Refreshes were slow and manual. The reporting also had to track a migration from one cloud platform to another.
What we built
- Built the data pipelines behind the platform, including code that pulls data from the cloud platforms and the work tracking tool through their APIs. Curated data landed in cloud storage, and operational metrics were surfaced on monitoring dashboards.
- Built a governed reporting model with shared business measures and row-level security. It supported interactive dashboards and paginated reports on service incidents, changes, problems, tasks and service-level agreements.
- Added reporting on the cloud migration's progress and workloads, and worked on moving the reporting foundation toward a cloud data warehouse. Documented the platform and transferred knowledge to the client's team.
How the data flows
Operational sources
Reports and metrics
The outcome
Refresh time for a key dataset fell by about 90%, from about 40 minutes to about 4. The pod worked from a shared backlog and the client's release process, and business owners signed off functional testing before each production release. The client retained ownership of the platform and data.
Systems & technologies
Before vs after
Get in touch
Is your IT operations reporting spread across too many tools?
If your IT operations data sits in separate tools with slow refreshes, our embedded engineers can build a governed reporting platform and the pipelines that feed it.
Email us directly
sales@3alica.com