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MULTI-PLATFORM DATA & ANALYTICS

One Partner for Every Data Platform.

Decision Foundry delivers expert platform services across Snowflake, Databricks, Power BI, Tableau, and MCI — from architecture and implementation to migration and managed services.

Certified experts across Snowflake, Databricks, Power BI, Tableau & MCI
projects delivered globally for Fortune 500 and mid-market
End-to-end: architecture, migration, integration & managed services

Contact Us

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The Reality

Platform Chaos Is Costing You More Than You Think

Your teams aren't failing because they lack talent. They're failing because the platform landscape underneath them has grown organically — without architecture, without governance, and without a coherent strategy.

1

Platform sprawl across the organisation

Five teams using five different tools with no shared governance, no common data models, and no way to compare numbers across business units.

2

Vendor lock-in limiting flexibility

You went all-in on one platform years ago. Now requirements have changed, costs have ballooned, and switching feels impossible without a migration partner.

3

Integration gaps between platforms

Your data warehouse, BI tools, and AI platform don't talk to each other. Analystss spend most of their time wrangling data instead of generating insights.

4

Skill shortages across certified experts

You can't hire enough Snowflake architects, Databricks engineers, and Tableau developers. Projects stall because the right expertise isn't available when you need it.

5

Costs spiralling without visibility

Compute credits, user licences, and storage costs grow 30–meaningfully year-over-year. Nobody can attribute costs to teams, projects, or business outcomes.

6

No unified governance framework

Data access policies are defined differently in each platform. There's no single view of who can access what, and compliance audits are a quarterly scramble.

7

Migration complexity paralysing progress

Legacy on-prem warehouses need to move to the cloud, but the migration risk feels too high. Months of planning produce no forward movement.

8

Underutilised licences wasting budget

You're paying for enterprise licences across multiple platforms, but adoption is low. Features go unused, and ROI remains theoretical, not measurable.

Our Platforms

Five Platforms. One Expert Partner.

We don't just know these platforms — we've deployed them at scale for hundreds of organisations. Click through to explore our deep-dive service pages for each platform.

Snowflake

Architect and deploy Snowflake for secure data sharing, cost-optimised compute, and governed analytics — from single-cloud to cross-cloud deployments.

  • Data sharing & marketplace strategy
  • Cost optimisation & warehouse tuning
  • Data clean rooms for privacy-safe collaboration
  • Cross-cloud replication & failover
Explore Snowflake Services

Databricks

POPULAR

Build unified lakehouse architectures with Delta Lake, MLflow, Unity Catalog, and generative AI — turning your data platform into an AI engine.

  • Lakehouse architecture & Delta Lake
  • MLflow & model registry operations
  • Unity Catalog governance & lineage
  • Generative AI & LLMOps pipelines
Explore Databricks Services

Power BI

Deploy enterprise-grade Power BI with semantic models, Microsoft Fabric integration, embedded analytics, and DAX-optimised reporting at scale.

  • Semantic models & data modelling
  • Microsoft Fabric integration
  • Embedded analytics & row-level security
  • DAX optimisation & performance tuning
Explore Power BI Services

Tableau

Implement Tableau for interactive dashboards, Tableau Pulse AI insights, embedded analytics, and deep Salesforce CRM integration.

  • Dashboard design & visual best practices
  • Tableau Pulse & AI-driven insights
  • Embedded analytics & portal integration
  • Salesforce CRM & Data Cloud integration
Explore Tableau Services

MCI / Datorama

Unify marketing data with MCI (formerly Datorama) — connecting campaigns, spend, and performance across every channel into a single source of truth.

  • Cross-channel data harmonisation
  • Marketing performance dashboards
  • API connectors & data pipeline setup
  • Attribution modelling & ROI reporting
Explore MCI / Datorama Services

AI Across Platforms

Every Platform Now Has AI Built In. We Help You Use It.

From Databricks generative AI and Snowflake ML Functions to Power BI Copilot and Tableau Pulse — AI capabilities are native to every modern data platform. We help you activate these capabilities so your teams move from descriptive reporting to predictive and prescriptive intelligence.

Explore AI Capabilities

AI-Powered Analytics Across Platforms

Leverage built-in AI capabilities in each platform — from Databricks generative AI to Tableau Pulse and Power BI Copilot — to surface insights faster than manual analysis.

Predictive Models in Production

Build, train, and deploy predictive models using Databricks MLflow and Snowflake ML Functions, then visualise predictions directly in Power BI and Tableau.

Intelligent Data Governance

Govern AI assets, data lineage, and access policies across all five platforms using Unity Catalog, Snowflake Horizon, and platform-native security controls.

Automated Pipeline Orchestration

Automate data flows between platforms with event-driven pipelines — from Snowflake Streams and Tasks to Databricks Workflows and Fabric Dataflows.

Platform Ecosystem

The Technologies That Power Your Data Stack

No platform operates in isolation. We integrate your entire data ecosystem — from ingestion and transformation to storage, analytics, AI, and activation — so every layer works together seamlessly.

SnowflakeDatabricksPower BITableauMCI / DatoramaMicrosoft FabricSalesforce Data CloudDelta LakedbtFivetranAzure Data FactoryTerraform

+ native connectors to data sources across all five platforms

Our Process

From Platform Chaos to Unified Data Architecture

01
Weeks 1–2

Platform Assessment

We audit your current platform landscape — licences, usage patterns, skill gaps, and integration points — and deliver a prioritised modernisation roadmap.

02
Weeks 2–3

Architecture Design

We design your target-state architecture: platform selection, data flows, governance policies, security model, and compute strategy — tailored to your workloads.

03
Weeks 3–8

Implementation

Our certified engineers build the platform — provisioning environments, configuring governance, deploying data models, and establishing CI/CD pipelines.

04
Weeks 6–10

Integration & Migration

We connect your platforms to upstream sources and downstream consumers, migrate legacy workloads, and validate data quality end-to-end.

05
Ongoing

Optimisation & Support

Post-launch, we tune performance, optimise costs, upskill your team, and provide ongoing managed services to keep your platforms running at peak efficiency.

Case Study

Global Media Company

Media Group Unifies Platforms and Cuts Reporting Time

A global media company was running Snowflake, Databricks, Power BI, Tableau, and MCI as disconnected silos. We designed a unified architecture with shared governance, migrated legacy workloads, and integrated all five platforms — reducing reporting time from days to hours.

80%

Faster reporting

5→1

Unified governance

45%

Cost reduction

3x

Faster adoption

Read the full case study
80%

Faster reporting across all platforms

Unified · Governed · Integrated

Real Results

The Business Impact of a Unified Platform Strategy

1000+

Projects

600+

Customers

20+

Years of Enterprise Expertise

4.5

Customer Satisfaction Score

How We Work

Engagement Options

Pick the model that fits where you are. All engagements include a dedicated platform lead and a clear outcome definition.

Fixed Scope

Platform Assessment

Ideal for: Teams evaluating platform options or needing an expert audit of their current setup

A 2-week deep dive into your platform landscape — licences, usage, architecture, skill gaps, and cost efficiency — with a prioritised improvement roadmap.

  • Multi-platform architecture review
  • Licence utilisation & cost analysis
  • Skills gap & team readiness assessment
  • Integration & data flow mapping
  • Prioritised modernisation roadmap
Start with an Assessment
Most Popular
Tailored Engagement

Platform Implementation

Ideal for: Organisations deploying, migrating, or scaling a data platform

A full platform build — from architecture and migration through to governance, integration, and go-live — delivered in 8–12 weeks with a dedicated certified team.

  • Everything in Assessment
  • Target-state architecture design
  • Platform provisioning & configuration
  • Data migration & pipeline build
  • Governance & security setup
  • BI tool integration & user training
Build Your Platform
Monthly Retainer

Managed Platform Service

Ideal for: Teams that want expert-managed platform operations across all tools

We manage your platforms end-to-end — monitoring, optimisation, incident response, and a dedicated engineering partner on call across all five platforms.

  • Multi-platform administration & monitoring
  • Performance tuning & cost optimisation
  • Incident response & SLA management
  • Dedicated certified engineer
  • Priority support across all platforms
Talk About Managed Service

Connected Ecosystem

The Platforms We Implement, Integrate & Manage

Your platform ecosystem isn't just one tool — it's a connected stack. We deploy and manage every layer so your data drives decisions across the entire organisation.

Snowflake

Databricks

Power BI

Tableau

MCI / Datorama

Microsoft Fabric

Salesforce Data Cloud

dbt & Fivetran