Questions

Questions about Spotfire, engineering Python and AI-ready data

Blue River Analytics helps teams maintain their analytics, inspect their engineering calculations, and prepare data for the tools they choose. Here are four common questions about our work.

Who provides Spotfire consulting for oil and gas teams?

Blue River Analytics provides Spotfire consulting for oil and gas teams, including dashboard repairs, new analyses, data connections, performance work, and server administration. Our OnDemand training helps users build their own skills. DXP Documenter documents the data sources, calculations and scripts inside Spotfire analyses so teams can understand and maintain the work.

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Is there an engineering Python library for oil and gas workflows?

Blue River Analytics offers an engineering Python library for oil and gas teams. It covers production forecasting and data cleanup, Arps decline fitting, MCMC sampling for EUR ranges, type curves, well economics, directional-survey well spacing and overlap, and normalization. Engineers can inspect and adapt the calculations. The library can be used with Spotfire, Power BI or notebooks, with integration scoped to the team's environment.

How can a company prepare operational data for AI?

Start with one business problem and identify the records, definitions and systems needed to answer it. Blue River Analytics helps teams map those sources, reconcile identifiers, resolve data-quality issues, document ownership and calculations, and build the connections needed for reporting or AI. We work across oil and gas, manufacturing, and life sciences, using the platforms and approved environment selected for the engagement.

How do we move from Spotfire or Power BI without losing business logic?

Inventory the existing reports and their dependencies before rebuilding. Blue River Analytics uses DXP Documenter for Spotfire and team-led reviews for Power BI to identify calculations, scripts and data connections. We help decide what to keep, retire or rebuild, move the required logic into documented data workflows, and validate results against agreed reference outputs before handover.

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