PDS Consulting / Data Architecture & Analytics
Data Architecture & Analytics
Most BI projects fail because they start with dashboards on broken data. PDS builds the data foundation first — master data, pipelines, governance — so the dashboards you build on top are actually trustworthy, and finance, sales, and operations can finally agree on the numbers.
At a glance
- Approach
- Architecture before dashboards — the foundation, then the reporting
- Engage
- 5 ways — from a 3-week Assessment Sprint to an ongoing governance retainer
- Platform
- Vendor-neutral (Power BI, Tableau, Snowflake, BigQuery…); deepest in Power BI & cloud warehouses
- Pairs with
- The foundation AI Enablement requires
- Pricing
- Quote, on scope — not on firm size
Plenty of data. Almost no trust in it.
The fix usually isn't a better BI tool — it's the architecture underneath. We do the unglamorous work that makes the BI tool actually useful. Sound familiar?
- Every team has different numbers for the same metric — you can't agree on revenue.
- The weekly leadership report is eight hours of manual Excel.
- You bought Power BI two years ago and still don't have working dashboards.
- You have data — you just don't trust it.
- You want to do AI, but the data is a mess and you don't know where to start.
How we run it — five phases.
01 · Discovery & assessment
Inventory data sources, current reporting, governance gaps, and metric definitions. Map what exists vs. what's needed.
02 · Architecture design
Define the target data model, master-data ownership, the warehouse layer, pipeline patterns, governance, and BI-platform fit.
03 · Pipeline & warehouse
Build the ingestion, transformation, and storage layer. Validate against business definitions, check quality, instrument monitoring.
04 · Analytics enablement
Build the dashboards, KPIs, and self-service capability on the trusted layer — and train the people who'll own them.
05 · Governance & optimize
Stand up stewardship, quality monitoring, and change control. Optimize performance, then hand off or move to a retainer.
We don't sell dashboards-only. Even the fast Reporting Sprint includes a lite data review first — because dashboards on data we haven't understood fail predictably.
What you're aiming at.
- A trusted single source of truth for your key entities — with documented ownership and definitions.
- Dashboards leadership can act on, sourced from a foundation they can audit.
- Manual reporting cut from days to minutes.
- Documented governance — definitions, lineage, ownership, refresh cadence, quality rules.
- An architecture that scales to new sources — and meets the prerequisites for AI.
What you get.
- Data landscape inventory & quality assessment
- Target data architecture & master-data model
- Pipelines & warehouse layer with monitoring
- Dashboards, KPI catalog & self-service analytics
- Governance framework, runbooks & training
Outcomes are what these engagements are built to deliver, grounded in 15+ years of multi-system data work where data was always the bottleneck. As PDS engagements close, this section gets measured numbers.
Five ways to engage.
Start with a diagnostic, get fast leadership reporting, or build the full foundation — quote-only, scoped to the work.
Data Assessment Sprint
3 weeks · Landscape inventory, quality assessment, target-architecture sketch, prioritized roadmap. No build.
Reporting Sprint
5–7 weeks · A lite data review (non-optional) then a leadership-dashboard build. Fast reporting, done honestly.
Analytics Enablement Sprint
6–8 weeks · Light architecture + pipelines + dashboards + training, for 2–3 sources without enterprise governance.
Data Architecture Program
8–16 weeks · The flagship — full architecture, warehouse, pipelines, dashboards, governance, and training.
Data Governance Retainer
Ongoing · Quality monitoring, dashboard updates, new-source onboarding, and governance review.
Why bring PDS in for this.
Data architecture before dashboards
A dashboard built on trusted data lasts; one built on broken data is a liability dressed up as an asset. We do the master-data, governance, and lineage work first.
Embedded, not advising from outside
15+ years on multi-system programs where data was the bottleneck — including the data harmonization and governance scaffolding behind a custom CRM integrated to SAP Business One.
Vendor-neutral on the stack
No partner tier with Power BI, Tableau, Snowflake, or anyone else. A 200-person company doesn't need Snowflake — we'll say so. The recommendation depends on your volume and TCO, not our margin.
Right-sized between freelancer and Big 4
A freelance BI developer ships dashboards; a Big-4 data practice ships a $400K warehouse. PDS is senior architecture leadership at a mid-market price.
Often follows ERP, CRM, or Systems Integration, and is the prerequisite for AI Enablement.
No pitch, no pressure
Can't trust your numbers?
A 30-minute call is enough to tell whether you have a dashboard problem or a foundation problem — and what the right first move is.
Book a call →Or email directly: info@prendergastdigital.com