Spotfire, engineering Python and AI-ready data. Since 2014.
If your data isn't ready, it doesn't matter which AI you pick. For 12 years Blue River Analytics has helped oil and gas, manufacturing and life sciences teams trust their data. We train your people, fix your Spotfire, give your engineers math they can inspect, get your data ready for AI, and move you off old dashboards without losing what's inside them.
Why AI projects stall
Your operations, finance and engineering data live in systems that never quite agree, and the reconciliation happens in someone's spreadsheet. In oil and gas it's a well. In manufacturing it's a part number. In life sciences it's a batch. Put AI on top of that and you get wrong answers faster. Swap in a newer model and you still get wrong answers. The model is the easy part. The data is the work.
What we do
OnDemand self-paced BR101–BR103 for Spotfire 14 and 15, with a free 7-day trial and 30-day money-back guarantee. Individual, additional-user and company-wide access for 20+ users, plus live virtual and onsite instructor-led classes by class day. Administration is a separate course, not part of the OnDemand bundle.
Start a free trialBroken connections, slow dashboards, new builds and admin work, delivered in prepaid 20-hour consulting blocks. DXP Documenter is available as an annual enterprise subscription.
Talk to a Spotfire expertBatch forecasting with data cleanup, Arps decline fitting, EUR ranges, type curves with lateral-length normalization, economics, well spacing and normalization. Your engineers can inspect every calculation. Works in Spotfire, Power BI, notebooks or with the AI tools your team picks. Annual subscription with updates and support; optional setup on your data is scoped separately in prepaid 20-hour consulting blocks.
See the libraryStart with a free 30-minute team data call, then a focused scan of one business problem (typically about two weeks). Cleanup and build work is delivered in prepaid 20-hour blocks. Keep-it-ready support is available on a 12-month term: Standard up to 10 hours/month or Plus up to 20 hours/month. We also deliver data engineering: governance, warehouses and lakehouses, pipelines, data quality, BI and benchmarking.
See where your data standsMoving off Spotfire or Power BI? Exit scans cover up to 25 or 75 DXP files and include the DXP Documenter scan for Spotfire files; Power BI reviews are scoped separately. Migration is delivered in prepaid 20-hour blocks, carrying your logic into clean data and the AI tools your team picks.
Plan your moveAI-ready data
AI models turn over every few months. Clean, matched, documented data stays valuable whatever you pick next year. Start with a free 30-minute team data call, then scan one business problem (typically about two weeks). Cleanup and build work is delivered in prepaid 20-hour blocks. Keep-it-ready Standard offers up to 10 hours per month; Plus offers up to 20 hours per month, each with a 12-month term.
1
Tell us what you have been asked to do with AI and where the data lives. Our team will discuss whether the data can support it.
2
Typically about two weeks. We map where the relevant data lives, where it disagrees and what to address first.
3
Implementation and cleanup are delivered in prepaid 20-hour consulting blocks, scoped to agreed priorities.
4
Ongoing support on a 12-month term: Standard up to 10 hours per month or Plus up to 20 hours per month.
We recommend the AI last, for your use case, vendor neutral. Not every AI is chat.
Book a call with our teamData engineering
AI-ready data sits on the same foundations good analytics always has. We design them, build them and hand them over. You own customer-specific deliverables.
Tie the data plan to how the company makes money and supports business decisions, so every project has a reason to exist.
Who owns each data set, what each number means, where it came from, and the quality rules that keep it right.
One place for operational, financial and engineering data, designed for reporting and for AI, on the platform you already lean toward.
Connecting production, accounting, ERP, MES, LIMS, historians and the spreadsheets nobody wants to give up.
One well, one part, one batch, with the same ID in every system.
Dashboards on trusted data, in Spotfire, Power BI or whatever you already use.
LOE, cycle times, well performance and cost per BOE against plan and peers, with performance optimization so leadership sees where the money goes.
Move to AI
Moving off Spotfire or Power BI to AI tools? The risk isn't the new tool. It's the calculations, scripts and data connections buried in files only one person understands. Rebuild from the outside and you're guessing, and the numbers change.
1
We inventory every Spotfire analysis or Power BI report and make a keep, retire or rebuild call on each, with an hour estimate.
2
Calculations and data connections go onto one clean, documented data layer, so any AI tool or BI tool reads the same trusted numbers.
3
We connect the AI tools your team picks to that data, set rules for what they answer and how answers get checked.
4
Your team learns to ask good questions and check the math.
Santos Alaska, Pikka Phase 1
Santos Alaska, Pikka Phase 1. Before first oil, the regional business unit needed one answer: which reports, data sources and governance practices had to be in place so finance, drilling, production, subsurface, EHS, tax and supply chain could all trust the same numbers. Santos issued a competitive RFQ. Blue River won and ran a fixed-fee assessment. We audited eight source systems, inventoried reports across eight functions, scored governance and data quality maturity, and identified 32 reporting gaps with a fix for each. Santos got a current-state assessment, a reference architecture, a governance strategy and a ten-month roadmap.
“We are already using your recommendations in the first phases of the implementation plan.”
That's where AI-ready data starts in any industry: find out whether the data can be trusted, decide what to fix first, and give leadership a plan they can fund.
The initial scan uses a point-in-time copy with read-only access. Any later implementation access is agreed in scope before work starts.
Work is processed in your approved environment. Access and any external services are agreed before work starts.
We recommend tools sized to your workload and budget. We don't resell a platform.
You own the data standards, pipelines, models and documentation created for your engagement. Blue River's pre-existing tools remain its own.
Production and allocation, well master data, SCADA and historians, LOE and LOS, AFEs and JIBs, Aries and PHDwin exports.
MES and historian data, ERP orders and inventory, quality results, CMMS work orders.
LIMS, batch records, ELN, deviations and CAPA, supplier COAs.
If your data lives in too many systems, the method is the same.
Tell us what you're working on. Spotfire, engineering math, getting your data ready for AI, or moving off your current dashboards, we'll tell you straight what we'd do first.
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Historical experience only; inclusion does not imply endorsement.