Sales and marketing success depends on trustworthy data. Without that, campaign results are driven by educated guesses. Dashboards tell conflicting stories, and teams waste time debating numbers instead of driving results. Our Data Foundation Services are designed to provide clean, consistent and connected data that is actionable and analytics-ready.
Why Choose Us
Every successful marketing and sales decision starts with one thing — reliable data. When data is fragmented, misnamed, or inconsistent, dashboards lose meaning and teams lose confidence. Our Data Foundation Services eliminate that chaos.
We help you create a single, trustworthy source of truth where every campaign, lead, and metric connects seamlessly across platforms.
From standardized campaign taxonomies and tag implementation to scalable architectures, governed data policies, and secure migrations, Decision Foundry ensures your entire ecosystem runs on accurate, connected, and compliant data. With the right foundation in place, your analytics become faster, your decisions sharper, and your marketing truly data-driven.
What We Deliver
Create a clear, standardized framework for naming and tagging campaigns. This makes it easy to compare results across channels, avoid messy reporting and scale campaigns without confusion.
Enable accurate campaign tracking with tags. Audit, set up and validate tags across your site and tools to ensure every event is captured.
Design scalable systems that connect marketing, sales and analytics. Build a strong data architecture that ensures seamless data flow.
Install the right controls, policies and privacy measures for compliance and trust.
Remove the pain of moving to new tools. We clean, map and validate your data so that dashboards stay accurate and useful during migration.
Making technology choices can be overwhelming or even a roadblock. Use our expertise to assess your needs, audit your existing tools and get unbiased recommendations on the best-fit solutions for your sales and marketing workflows.
Why It Matters
With the right foundation in place, your analytics become faster, your decisions sharper, and your marketing truly data-driven.
Clean, consistent data means your teams stop debating numbers and start driving results — with a single source of truth across every platform.
Build a governed, scalable data foundation that supports self-service analytics, accurate reporting, and compliant data practices across the enterprise.
Common Questions
Data foundations are the bedrock layer of capabilities every data-driven organisation needs before higher-order work (AI, real-time personalization, advanced analytics) becomes possible: clean and reliable data collection, structured taxonomy, governed pipelines, accurate identity resolution, and trusted reporting. When these are weak, every downstream initiative struggles. When they're solid, everything else accelerates.
Six core areas: campaign taxonomy design and enforcement; tag implementation across web and mobile; data architecture blueprint; data security and governance framework; data pipeline orchestration; and dashboard / reporting rationalisation. Each can be delivered as a standalone engagement or as part of an integrated foundations program.
Because AI and advanced analytics inherit every weakness underneath them. An Agentforce agent built on inconsistent taxonomy will make wrong recommendations. A predictive model built on unreliable pipelines will silently drift. A real-time personalization engine built on broken identity will create incoherent customer experiences. We see the foundations work as the multiplier — fixing it makes everything above it work better.
A focused single-area engagement (e.g. just taxonomy or just tagging) runs 6–10 weeks. A full data foundations program (all six areas) runs 6–12 months, typically phased — taxonomy + tagging first, then pipeline + governance, then reporting + activation. Pricing depends on scope and the current-state gap. Every engagement starts with a data audit.
Often yes. The most common scenario we see: an organisation launched AI initiatives, results were disappointing, and the team is debating model improvements. The actual fix is almost always upstream — the model is fine; the data feeding it isn't. Foundations work isn't "come back when you're more mature" — it's the work that unlocks the AI ROI you expected.
Foundations is what we've been doing since 2004 — before AI was the thesis. We're a Salesforce SELECT Partner, Snowflake Select, Databricks Premier, with deep MCI and analytics expertise. 200+ data projects delivered. Our FDE engineers embed inside your team to fix foundations without disrupting downstream consumers.