What We Do

Six things we are actually good at

We do not try to do everything. These are the areas where we have the deepest experience. If your project falls outside this list, we will tell you and point you to someone who can help.

01

EPM Implementation

A planning tool should make month-end easier rather than adding another system to reconcile. We start with your close process, chart of accounts, and intercompany rules, then configure the platform so the output matches how your team plans and reports.

Platforms & Technologies

Oracle EPM CloudSAP BPCAnaplanOneStreamWorkday AdaptiveBoard

Capabilities

Financial Consolidation
Budgeting and Planning
Rolling Forecasts
Management Reporting
Driver-Based Planning
Workforce Planning
Capital Planning
Profitability Analysis

Expected Outcomes

Cut close cycle time in half
Get forecasts people trust
Stop manual reconciliations
Run scenarios in minutes
02

Dashboards That Get Used

Dashboard projects tend to stall when the reports are built before anyone asks how they will be used. We start by talking to the people who will rely on the numbers, map the decisions they make, then build reporting around those, so it becomes part of the daily routine rather than another tab nobody opens.

Platforms & Technologies

Power BITableauQlik SenseLookerMicroStrategyThoughtSpot

Capabilities

Dashboard Development
KPI Definition
Self-Service Reports
Embedded Analytics
Data Visualization
Report Automation
Mobile Dashboards
Real-Time Monitoring

Expected Outcomes

Reports people actually use
Same numbers everywhere
Faster report creation
Fewer ad-hoc requests
03

Data Warehouse Builds

When finance and sales show different revenue figures to the board, you have a data problem. We build warehouses that give everyone a single version of the truth. We also document everything and train your team so you are not stuck calling us every time something changes.

Platforms & Technologies

SnowflakeDatabricksAzure SynapseGoogle BigQueryAWS Redshiftdbt

Capabilities

Data Warehouse Design
ETL/ELT Development
Master Data Management
Data Quality Rules
Metadata Documentation
Data Catalog Setup
Lineage Tracking
Architecture Design

Expected Outcomes

One source of truth
Better data quality
Less data prep time
Audit-ready documentation
04

Cloud Migration

Cloud vendors quote 12-week timelines based on ideal conditions that never exist. Your data is messier, your team is busier, and you will need more parallel runs than planned. We scope honestly, build in contingency, and stay until your team can run things without us.

Platforms & Technologies

Amazon Web ServicesMicrosoft AzureGoogle Cloud PlatformHybrid CloudMulti-Cloud

Capabilities

Readiness Assessment
Migration Planning
Architecture Design
Cost Management
Security Setup
DevOps Pipelines
Hybrid Configuration
Performance Tuning

Expected Outcomes

Lower infrastructure costs
Better performance
Tighter security
Faster deployments
05

Predictive Models

Most data science projects never make it out of the lab. We focus on models that connect to your actual systems and run automatically. If we cannot explain how a model will be used in your daily operations, we do not build it.

Platforms & Technologies

PythonRAzure MLAWS SageMakerGoogle Vertex AIMLflow

Capabilities

Demand Forecasting
Churn Prediction
NLP Applications
Computer Vision
Recommendation Systems
Anomaly Detection
Time Series Models
Model Deployment

Expected Outcomes

Automate manual work
Predict customer behavior
Catch problems early
Better resource allocation
06

Vendor Selection

Software vendors are good at demos. They show you a polished system with sample data and your CFO is sold. We help you see past the demo: what does implementation really cost, how long does it really take, what do reference customers really say. Then you decide.

Platforms & Technologies

Vendor-AgnosticAll Major Platforms

Capabilities

Current State Assessment
RFP Development
Roadmap Planning
Architecture Review
Build vs Buy Analysis
Total Cost Analysis
Risk Assessment
Change Planning

Expected Outcomes

Avoid bad vendor choices
Align IT with business needs
Spend money wisely
Clear path forward
Industry Expertise

Industries where we have done this before

We have shipped projects in these sectors. That means we know the compliance headaches, the data quirks, and the organizational politics you are dealing with.

Financial Services

Banks, insurers, and asset managers dealing with IFRS, Basel, and Solvency II reporting requirements.

Common use cases: Regulatory reporting, risk models, customer analytics, fraud detection

Manufacturing

Factories and plants that need production visibility, supply chain tracking, and quality metrics.

Common use cases: S&OP planning, inventory levels, quality dashboards, equipment monitoring

Healthcare

Hospitals, pharma companies, and biotech firms navigating clinical data and compliance demands.

Common use cases: Clinical trial data, patient outcomes, revenue cycle, R&D costs

Energy

Oil and gas, renewables, and utilities balancing operations with sustainability reporting.

Common use cases: Asset performance, grid data, demand forecasts, ESG metrics

Retail

Stores and e-commerce businesses competing on margins and customer experience.

Common use cases: Demand planning, customer segments, pricing analysis, supply chain

Professional Services

Consulting, legal, and accounting firms tracking utilization and project economics.

Common use cases: Resource planning, project profitability, utilization rates, client metrics

Have a project stuck? Let us take a look.

Tell us what is broken. We will read it carefully and tell you honestly whether we can help. No sales pitch, just a straight conversation.

Talk to Us