Most organizations have more data than they can act on — and less visibility than they need to run the business well. Sales performance, inventory levels, customer behavior, operational costs — this information exists somewhere in your systems. But if it is not surfaced through real-time KPI dashboards, business intelligence reporting, and the right data visualization tools, the signals are invisible until they become problems. Full On Consulting's data analytics and visualization practice builds the platforms, models, and dashboards that put the right information in front of the right people — across Power BI, Tableau, and custom BI solutions — beginning with business requirements and ending with analytics that actually change how people operate.
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Enterprise source systems consolidated into a single governed analytics platform in one engagement
$40M+
In documented client savings enabled by trusted data and disciplined technology strategy
20+
Years of enterprise IT and analytics leadership experience per senior consultant
100%
Senior analytics consultants — no junior staff on your engagement
Our Analytics Services
From BI Strategy to Real-Time Dashboards That Drive Decisions
BI Strategy & Platform Selection
Vendor-neutral evaluation of your analytics requirements, data landscape, and organizational capabilities — recommending the right business intelligence platform (Power BI, Tableau, Looker, or other) based on your specific use cases, not platform partnership incentives.
Dashboard & KPI Development
End-to-end analytics dashboard development — defining the metrics that matter, building the data models that support them, and delivering dashboards that give executives and operations teams a real-time view of business performance in both executive summary and drill-down formats.
Data Reporting Services
Structured data reporting that replaces manual spreadsheet processes with automated, governed, and reliable reporting pipelines — building the semantic layers, report libraries, and refresh cadences that your teams can depend on and your auditors can trust.
Real-Time & Self-Service Analytics
Real-time analytics and self-service BI platform implementation — giving business users the ability to explore data and answer their own questions without waiting on IT. We design the data model and governance layer that makes self-service analytics safe, scalable, and trustworthy.
Data Warehouse & Analytics Architecture
Design and implementation of the data warehouse, lakehouse, or analytics platform architecture that supports your reporting requirements — consolidating source systems, resolving data quality issues, and establishing the structural foundation that makes analytics reliable at scale.
Analytics Proof of Concept
Cost-effective proofs of concept on your actual data — validating the analytics approach, demonstrating what your BI environment could look like, and giving leadership the confidence to commit to a full implementation before making large platform investments.
What Makes Us Different
Why Our Analytics Deliver Insight, Not Just Reports
Business Questions First, Platform Second
We begin every analytics engagement by defining the decisions the analytics must support — not by selecting a platform. Tool selection follows requirements; it never drives them. This prevents the most common failure mode: platforms chosen before use cases are defined.
Data Model Built Before the First Dashboard
Visualization is the last mile, not the first step. We assess and address data source quality, build the semantic layer, and design the dimensional model before any dashboard development begins — so dashboards reflect reality rather than embellishing bad data.
Self-Service Without Governance Risk
Self-service analytics without governance produces environments where every business unit builds different definitions of the same metric. We design the governance layer that makes self-service safe — so users explore freely within a model that prevents conflicting numbers.
Analytics Tied to Decisions, Not Just Data
A report full of numbers is not the same as actionable intelligence. We design every analytics deliverable around the specific decisions it needs to support — so users know not just what happened, but what to do about it.
Featured Case Study
Data Warehouse: Replacing Four Disconnected Systems With Real-Time Enterprise Analytics
A distribution company was running critical business decisions off disconnected spreadsheets and manual exports from four enterprise systems — SAP, Salesforce, Magento, and a warehouse management system. Full On Consulting consolidated all four into a single governed data warehouse with real-time reporting, giving leadership a live, trusted view of the entire operation for the first time. The business went from weekly spreadsheet reconciliations to real-time KPI visibility at the executive level.
A broader IT transformation engagement demonstrated the same analytical discipline at enterprise scale — delivering $40M in documented savings in part by ensuring technology investments were measured against clear business outcomes rather than project completion metrics.
Read the Full Case Study →4
Enterprise source systems unified into a single governed real-time analytics platform
$40M+
In total documented savings enabled by trusted data and disciplined technology strategy
20+
Years of enterprise IT and analytics leadership experience per senior consultant
Before You Engage
What to Ask a Data Analytics Consulting Firm
Do they start with business requirements or platform selection?
Analytics projects that begin with tool selection routinely deliver dashboards that answer the wrong questions. Ask whether the firm conducts a structured business requirements discovery process before any platform evaluation — defining the business questions that need to be answered, the decisions those answers need to support, and the KPIs that reflect actual business performance. Platform selection should be an output of requirements, not a starting assumption.
How do they address data quality before building dashboards?
Visualization layers built on top of inconsistent, ungoverned source data produce reports that look polished but deliver numbers no one agrees on. Ask how the firm assesses source data quality before any dashboard development begins, what remediation approach they apply to data quality gaps, and whether they build the semantic layer and dimensional model before starting visualization work. Firms that jump straight to dashboards are building on sand.
How do they design for self-service without losing governance?
Self-service analytics without governance produces environments where every business unit builds different versions of the same metric. Ask how the firm designs the data model and governance layer that makes self-service analytics safe — specifically, how metric definitions are standardized, how access to raw versus curated data is controlled, and what prevents conflicting numbers from proliferating across the organization after the engagement ends.
How do they validate that analytics actually drive decisions?
Analytically polished dashboards with no behavioral impact are a common and expensive failure mode. Ask how the firm measures whether analytics deliverables actually change how people make decisions — not just whether the dashboards get built, but whether they get used, whether the right people can access them, and whether the metrics they surface are genuinely driving different actions in the business.
Stop Running the Business on Stale Reports
Build Analytics That Give Leadership Real-Time Visibility — and the Confidence to Act
Our senior data analytics consultants will define your BI requirements, assess your data landscape, and build the dashboards and reporting platforms that turn raw data into real-time insight — designed around the decisions they need to support, not just the data available.
Schedule a Free Analytics Consultation →WHY FULL ON CONSULTING
Senior Consultants Only
Every engagement is led and delivered by senior consultants — former CIOs, CTOs, and enterprise IT executives. You get the people you were sold, not a bait-and-switch to junior staff after the contract is signed.
$40M+ in Documented Savings
Our track record includes $40M+ in verified client savings, a $130M M&A integration across 90+ global facilities, and an end-user computing transformation for 18,000 employees. We deliver measurable outcomes — not just recommendations.
20+ Years of Enterprise Experience
Our consultants average 20+ years of enterprise IT experience across Fortune 500 and mid-market companies. We have run the same programs we are being asked to lead — across SAP, Oracle, Salesforce, ServiceNow, and large-scale transformations.
Strategy Through Execution
We do not hand you a strategy deck and walk away. Our teams stay engaged from initial assessment through go-live — accountable for outcomes, not just deliverables. If we recommend it, we are prepared to execute it.
Boutique Agility
As a boutique firm, we move faster, adapt to your priorities, and work with your team rather than around it. No bureaucracy, no layers of overhead — just focused, senior-led execution from day one.
A Partner, Not a Vendor
We build long-term relationships grounded in trust and integrity. Many of our clients have engaged us across multiple initiatives and refer us to peers — because we do what we say we will do, every time.