Pipelines, forecasting, reporting.
Three specialisms that most engagements are built from, and two more lines for when the job needs senior judgement on a standing basis or a second read of generated code. Most clients use more than one.
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Data pipelines and automation
The build most engagements start with.
Data pipelines in dbt, migrations with reconciliation, and integrations across Microsoft 365, Salesforce, Genesys Cloud and more, so a process runs unattended.
Engagement
Fixed scope with an end point: a migration, an integration, a pipeline. Then a short retained period while your team takes it over.
Pipelines in detail -
Forecasting and capacity planning
The most demanding thing a pipeline feeds.
Demand, capacity and workforce forecasting for operations that roster against it, with the pipelines and reporting that turn a forecast into a plan.
Engagement
A fixed-scope build of the models and pipeline, then a retained arrangement through the first planning cycles, so the person who built the forecast is the one reviewing it.
Forecasting in detail -
Reporting and dashboards
The numbers leadership reads, built to be trusted.
Reporting leadership runs on, in Power BI, Tableau, Streamlit or a custom build: models that reconcile and dashboards built with the people who use them.
Engagement
Fixed scope for a defined set of reports and the model beneath them, then a short retained period while your team takes ownership. Often the final stage of a pipeline or forecasting build.
Reporting in detail
When the job needs more.
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Advisory and embedded leadership
Retained or embedded senior data capacity for teams that need experience rather than headcount: model review, analyst mentoring and operational planning.
Advisory in detail -
AI code and output review
Independent review of AI-generated SQL, Python and R before it reaches production or a decision. Fluent enough to use it, sceptical enough to catch errors.
AI review in detail
Next step
Not sure which applies?
Describe the problem in a few lines, and we will say which of these fits, or that none of them does, and what we would suggest instead.