Data & Intelligence
Consulting
You have more data than ever. But if it is not helping you make better decisions, it is just expensive storage.
We build the data infrastructure, analytics layer, and KPI frameworks that connect your raw numbers to real business outcomes. No vanity dashboards. No reports that sit unread. Just the metrics and systems you need to run your business with clarity.
Companies we've worked with
From enterprise data warehouses at Southern California Edison and Accenture to modern analytics stacks built on Snowflake and Power BI. We have designed the data systems behind real business decisions at scale.
Every dashboard, metric, and report we build starts with a question someone in your business needs answered. We never build analytics around whatever data happens to be available.
We have no partnerships with Tableau, Snowflake, Databricks, or anyone else. When we recommend a platform, it is because it fits your needs. Not because someone is paying us to say it.
Most Businesses Have Plenty of Data and Almost No Insight
You bought the analytics tools. You hired people to build reports. And yet, when a board member asks a straightforward question about profitability by product line or customer acquisition cost by channel, nobody can answer it quickly or confidently.
The problem is almost never the technology. It is the gap between what your business needs to know and what your data systems were designed to deliver. Customer data lives in Salesforce, financial data in your ERP, operational data in spreadsheets, and none of it connects in a way that gives you one clear picture.
That gap costs you money every single day. Slower decisions, missed trends, teams running on gut feeling instead of evidence, and leadership spending meetings debating whose numbers are right instead of what to do next.
Dashboard Overload
Dozens of reports that nobody checks because they do not answer the questions that actually matter. Your team built what was easy to measure, not what you needed to know.
Disconnected Data Sources
Customer data in the CRM, financial data in the ERP, operational data in spreadsheets. No single view connects them, so every report requires manual assembly.
Metrics Without Meaning
You are tracking activity instead of outcomes. Page views instead of conversion. Tickets closed instead of time to resolution. The numbers look busy but do not tell you where the money is going.
No Accountability Framework
Without clear KPIs tied to specific roles and business functions, performance reviews become guesswork and improvement projects have no baseline to measure against.
The Full Data Picture
We do not just build dashboards. We look at every layer of your data operation, from where it is stored to how it reaches the people who need it.
Data Architecture and Storage
We evaluate how your data is structured, where it lives, and whether your current setup can grow with you. That includes data warehouses like Snowflake and Amazon Redshift, data lakes on Azure Data Lake Storage or Amazon S3, and hybrid approaches using patterns like the Data Lakehouse and Medallion Architecture.
Business Intelligence and Reporting
We assess your BI tools and how they are being used. Whether you are on Tableau, Power BI, Looker, Grafana, or something else entirely, we look at whether your reports are answering the right questions and whether the people who need the data can actually access it.
Data Pipelines and Integration
We map how data moves between your systems. Are pipelines built on dbt and Fivetran, or are your people still running manual exports? We design reliable data flows using tools like Apache Airflow and AWS Glue so your reports stay current without someone babysitting the process.
KPI Frameworks and Scorecards
We help you define what to measure and why. That means identifying leading and lagging indicators by business function, setting targets, assigning ownership, and building the reporting infrastructure so everyone can see where they stand.
Data Quality and Governance
Bad data leads to bad decisions. We audit your data for accuracy, completeness, and consistency, then put governance processes in place using frameworks like DMBOK and tools like Collibra or Atlan so the quality holds over time.
Advanced Analytics and Modeling
When the basics are in place and you are ready to go further, we help you explore predictive analytics and machine learning. That might mean building models in Python with scikit-learn, deploying on Amazon SageMaker, or using platforms like Databricks for large-scale analysis.
How It Works
Three steps over two weeks. You get a prioritized roadmap with real numbers attached to every opportunity we find.
Week 1
Discovery and Process Analysis
Discovery Interviews
We interview your leadership team and the people on the ground to find the gap between how the business is supposed to run and how it actually runs. That gap is where the money is. We are not asking about goals or visions. We are looking for broken processes, friction, and inefficiencies.
Map the Process and Find Opportunities
We map your entire operation across Acquisition, Delivery, and Support on a single canvas. Then we score every opportunity we found against effort and impact. Quick Wins go to the top. Before we finalize anything, we validate the plan with you so you have ownership of the priorities.
Value Stream Map
Full process map
Value vs. Effort Matrix
Effort vs. impact scoring
Validation
Co-created with you
Week 2
Presentation and Next Steps
The ROI Summary
Every recommendation comes with the math to back it up. The ROI Summary shows the savings per process, the estimated implementation cost, and the projected Year 1 ROI. We include a revenue uplift section showing what happens when you redirect freed-up employee hours to higher-value work. The presentation ends with clear next steps.
The Deliverables
You get documents and systems you can act on. Every deliverable includes specific next steps with effort estimates and expected outcomes.
Data Architecture Blueprint
A complete design for your data infrastructure. Sources, pipelines, storage, and consumption layers all mapped to your business requirements, with clear technology recommendations and migration steps.
KPI Framework Document
A structured set of leading and lagging indicators organized by business function. Each KPI includes ownership, targets, measurement frequency, and the data source it pulls from.
Executive Dashboard Suite
Production-ready dashboards built in your preferred tool, whether that is Power BI, Tableau, or Looker. Designed around the decisions your leadership team needs to make, not just the data that is available.
Data Pipeline Architecture
The technical design for how data moves through your organization. Covers ETL/ELT patterns, scheduling, error handling, and monitoring so your analytics stay current and reliable.
Data Quality Assessment
An audit of current data accuracy, completeness, and consistency across your key systems. Includes specific fixes prioritized by business impact and a plan for ongoing governance.
Reporting Playbook
Documentation of every metric: its definition, source, calculation logic, and who owns it. Built so your data infrastructure keeps working even when people change roles.
When to Bring in Outside Data Expertise
You do not need a data crisis to benefit from this work. But if any of these sound familiar, it is probably time to get an outside perspective from someone who has built these systems before.
We have worked inside Fortune 500 environments and with growing mid-market companies. The data problems are often the same. The difference is how fast you catch them and how much money you save by fixing them early.
Leadership is making decisions based on gut feeling because they do not trust the reports
Your team spends hours pulling data from multiple systems to build a single report
You have analytics tools like Tableau or Power BI, but nobody is using them consistently
Board members or investors ask data questions your team cannot answer confidently
You are paying for a data warehouse but are not sure if it is set up correctly
Different departments report different numbers for the same metric
You cannot tell which products, customers, or channels are actually profitable
Previous analytics investments did not deliver, and you are hesitant to try again
Specialized Consulting Areas
Within Data and Intelligence, we offer two focused areas of consulting. Each one can stand on its own or work as part of a broader engagement.
Data & Analytics Consulting
We design your data architecture, build reliable pipelines, implement business intelligence tools, and set up the analytics systems that give your team real answers. From Snowflake and Redshift to Tableau and Power BI, we work with the platforms that fit your business.
- Data architecture and pipeline design
- Business intelligence implementation
- Predictive analytics and data modeling
KPI Consulting
We help you define the metrics that actually reflect business health, build the frameworks to track them, and set up executive dashboards so leadership always knows where things stand. No vanity metrics. Just the numbers that drive accountability and results.
- KPI framework design by business function
- Leading and lagging indicator identification
- Executive scorecard and board reporting
23 Years. Real Clients. Real Stakes.
Know What Your Data Can Actually Tell You
The first step is understanding what data you have, what decisions it needs to support, and where the gaps are. Book a discovery call and we will talk through your situation and whether an engagement makes sense.
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