From data engineering and pipeline architecture to BI dashboards, predictive analytics, and migration — we build the systems you need to get clear, reliable answers from your data.
Our customers tell us “We don't have a data problem — we have a data reliability problem.” And we find this is very common across businesses.
Does it take weeks to get a simple report configured in your ERP or BI tool? Are different teams in your organization working with different versions of the same data? Do your dashboards look good but fail to answer the real business questions you have?
Our Services
Strong data foundations that you can trust
Build great dashboards that you can actually use
Interpret your data accurately to drive results
Move your data systems without breaking your business
Who It's For
Trustworthy campaign performance data
Numbers you can trust for board meetings
Visibility across all functions of the organization
Better infrastructure, easier maintenance
Planning and forecasting made more efficient
The Reality
Data scattered across dozens of disconnected systems and spreadsheets — nobody trusts the numbers.
Leadership making decisions on gut feeling instead of data because insights are too slow or unreliable.
BI dashboards nobody uses because they’re too slow, irrelevant, or don’t answer the right questions.
No single source of truth for key business metrics — every team reports different numbers for the same KPI.
Months-long migration projects that disrupt business operations and never seem to finish on time or budget.
Analytics insights that arrive too late to influence decisions — by the time you see the data, the moment has passed.
Why Decision Foundry
Our expertise with AI-assisted systems helps detect anomalies and data issues before they impact your dashboards and decisions.
Forecasting is one of the toughest things in any business, and we understand the importance of it in your data intelligence platforms.
You don’t need complex SQL queries and developer assistance to interpret data. Ask in English, and get answers in the language you understand.
We understand data warehousing and organizing inside out, making it easier for you to store, retrieve, migrate, or query your data.
Beautiful dashboards are useless unless they drive outcome-focused business decisions.
From pipelines to dashboards to insights — we have everything under one roof.
Over 20 years of deep experience in Data Cloud, Tableau, MCI, and leading platforms.
Eliminate data disparity and align everyone on the same numbers and same purpose.
Our solutions are built to grow with your business and your ambitions.
Common Questions
Data Intelligence is the full-stack discipline of turning data into trusted, action-driving insight. It encompasses data engineering (pipelines and platforms), data analysis (statistics and modelling), data visualization (dashboards and reports), and decision-making frameworks. Where BI focuses narrowly on reporting, Data Intelligence connects all the layers — so the answers visualised at the top reflect data that's reliable, governed, and timely.
BI focuses mainly on dashboards and reporting — what's the surface that users interact with. Data Intelligence is broader: it includes the full pipeline (raw data → modelled data → insights → decisions), the governance layer, data quality engineering, and increasingly the AI activation layer. BI is one component of Data Intelligence; the rest is what makes BI trustworthy and decision-grade rather than wallpaper.
Four core capabilities: data engineering (pipelines, modelling, platforms); data dashboarding (Tableau, Power BI, MCI, custom); data analysis and insights (statistical modelling, predictive analytics, anomaly detection); and data and dashboard migration (modernising legacy reporting environments).
Not necessarily. We work with what you have when it's working — many of our engagements involve optimising existing Snowflake, Databricks, Tableau, or Power BI implementations rather than replatforming. We only recommend replacement when current tools genuinely can't meet your business needs. The bias is toward evolution, not revolution.
A focused dashboard or single-source insights project runs 4–8 weeks. A full Data Intelligence platform build (engineering + dashboarding + analysis frameworks + governance) runs 4–9 months, typically phased. We can also operate as an embedded team via the FDE Model — meaning ongoing Data Intelligence delivery without a one-time project end-date.
Since 2004 we've been doing the full stack — engineering, dashboarding, analysis, governance — for enterprises in retail, financial services, healthcare, pharma, and media. Snowflake Select, Databricks Premier, Salesforce SELECT, multiple Salesforce Marketing Champions, and Tableau Zen Masters on staff. We work with your existing data team rather than replacing it, often acting as a force multiplier rather than a vendor.