Data and analytics

When this is the right fit

• The platform is installed but half the data sources are not onboarded.
• Dashboards and reports were built by someone who has since left, and nobody maintains them.
• No one is responsible for the license, the upgrades, or the renewal.
• You need an experienced engineer on your team for a defined number of hours, rather than a full project engagement.

Platforms

• Splunk. Deployment and architecture, upgrades and Splunk Cloud migrations, data onboarding and normalization, dashboards and alerts, health checks and license optimization. Splunk services in detail.
• Data visualization and reporting. Power BI, Tableau, and other data visualization tools: management dashboards, KPI reporting, and ad hoc analysis built on the data your systems already hold, including finance, operations, and cloud telemetry.
• The data around it. Log sources, Microsoft 365 and cloud telemetry, and the pipelines that feed the reporting layer.

If your platform is not listed here, ask. We work across the common data and visualization tools, and we will tell you plainly if yours is one we do not cover.

Reporting and analysis

Dashboards and scheduled reports built around the questions your team asks, documented so the next person can maintain them. Data quality work when the numbers from different systems do not agree.

Engineers by the hour

The same terms across the practice: a named engineer, an hourly rate and a not-to-exceed ceiling in writing, a weekly timesheet, and remote delivery by default. Full detail on the Splunk page and on How we work.

Who does the work

A lead engineer you will have met before the first hour is billed. Access to your environment is named, logged, and removed when the engagement ends.