Data, Analytics & Decision Support

From the first report to an enterprise data foundation.

Turn data from ERP, CRM, commerce, finance, operations, sales, and other business systems into reporting and insight people can trust—from focused visualizations to a modern data warehouse or lakehouse.

The opportunity

Start with the decision. Build only what the business needs.

We assess the questions your teams need to answer, the data and tools already in place, and the level of scale and governance required. Then we recommend the right architecture and deliver it in practical phases.

01

Reporting & data visualization

Focused reports, executive dashboards, scorecards, drill-through analysis, alerts, and self-service views that make information easier to use.

02

Finance analytics

Close, cash, AP and AR, profitability, budget-to-actuals, working capital, forecasting, and management reporting across entities and systems.

03

Operations & supply chain

Inventory, orders, procurement, fulfillment, production, service levels, cost, quality, and capacity visibility across the operating environment.

04

Sales & customer analytics

Revenue, margin, pipeline, channel, customer, product, e-commerce, and marketing performance connected to financial outcomes.

05

Data engineering & governance

Source integration, automated pipelines, data quality, governed definitions, semantic models, lineage, security, and reusable measures.

06

Data warehouse & lakehouse

Cloud and hybrid data platforms that bring structured and unstructured data together for enterprise reporting, advanced analytics, and AI.

Right-sized architecture

Solve today’s reporting need without losing sight of what comes next.

Not every organization needs a lakehouse on day one. We match the solution to the current need and design each phase so it can support greater scale, more sources, and stronger governance when the business is ready.

01

Start

Focused reporting

Operational extracts, reconciled data sets, scheduled reports, and clear visualizations for a defined business need.

02

Connect

Shared dashboards

Finance, sales, and operations views that combine sources, standardize measures, and reduce spreadsheet handoffs.

03

Unify

Trusted data models

Automated pipelines, governed definitions, semantic layers, historical data, and reusable enterprise metrics.

04

Scale

Warehouse or lakehouse

A scalable data platform for high-volume reporting, advanced analytics, forecasting, machine learning, and AI.

Platform expertise

Choose the technology that fits the environment—not the other way around.

We consider business goals, current systems, existing licenses, data volume, security, internal skills, speed to value, and long-term operating cost before recommending a platform.

OAC · Fusion Data Intelligence · OTBI · BI Publisher

Oracle Analytics

Deep Oracle expertise for governed analytics across Oracle Fusion Cloud, Oracle EBS, OCI, and connected enterprise data—with room to extend beyond the Oracle estate.

Azure Data Factory · Microsoft Fabric · Lakehouse

Microsoft Azure & Fabric

Data ingestion, transformation, warehousing, lakehouse architecture, orchestration, and scalable analytics across cloud and hybrid environments.

Semantic models · Dashboards · Self-service BI

Microsoft Power BI

Business-ready reporting and visualization with governed measures, usable experiences, secure distribution, and adoption across teams.

Visual analytics · Enterprise dashboards

Tableau

Interactive analysis and data storytelling for teams that need flexible exploration, rich visualization, and shared performance visibility.

Technology agnostic

Platform experience without a platform agenda.

These technologies are part of our experience—not limits on the architecture. We can work with the ERP, database, cloud, warehouse, visualization tools, and data investments already in place, then close the gaps with the most supportable solution.

A phased path

From tool assessment to implementation—delivered in practical phases.

The roadmap is built around visible business value. Each phase produces a usable outcome while strengthening the data foundation for the next priority.

01

Assess & prioritize

Clarify decisions, users, data sources, pain points, current tools, ownership, governance, and the highest-value first use cases.

02

Design the foundation

Select the right tools and define architecture, security, data models, KPI definitions, integration patterns, and a phased delivery roadmap.

03

Deliver first value

Implement a focused finance, operations, or sales use case; validate the numbers; train users; and prove the operating model.

04

Scale & operate

Add sources and business areas, automate quality controls, improve performance, govern self-service analytics, and support the platform.

Business views

Build around the teams that use the information.

Finance

Close, cash, AP and AR, budget, forecast, margin, profitability, working capital, and executive reporting.

Operations

Inventory, orders, procurement, fulfillment, production, supply chain, quality, service, and capacity.

Sales & customer

Revenue, pipeline, channel, customer, product, e-commerce, marketing performance, and retention.

What this enables

Better systems are measured by better operating outcomes.

From roadmap to run state

Modernize with a partner that stays accountable.

Bring your ERP, integration, data, automation, engineering, and support priorities into one connected conversation.

Start the conversation