Data you can trust, answers you can use
Most organizations don’t lack data. They lack reporting they trust. We build the dashboards, data warehouses, and analytics that turn scattered systems into clear answers for leadership, from finance and operations to enrollment.
How we can help
Business intelligence
We design and build dashboards and reports in tools like Power BI and Tableau, connected to clean, consolidated data, so leaders see the same numbers and trust them.
- Dashboards for leadership and operations
- Consolidated data from multiple systems
- Consistent definitions for key metrics
- Self-service reporting for business teams
Data warehousing
A good data warehouse is the foundation for reporting you can trust. We design, build, and modernize warehouses that bring data from your ERP and other systems into one place, with pipelines that keep it current.
- Warehouse design and modeling
- Pipelines from ERP and operational systems
- Modernization and cloud migration
- Performance and cost tuning
Advanced analytics
Once the basics are in place, we help teams go further with forecasting, predictive models, and segmentation, applied to practical questions like demand, retention, and risk.
- Forecasting and trend analysis
- Predictive models
- Segmentation
- Automated alerts for unusual activity
Tools and technologies
We work with the tools your team already uses where we can, and recommend new ones only when they solve a real problem. Our team works across:
- Business intelligence: Power BI, Tableau, QlikView
- Data warehousing: Snowflake, Amazon Redshift, Google BigQuery
- Analytics: Python, R, TensorFlow, PyTorch
- Cloud: AWS, Azure, Google Cloud
- Data integration: Informatica, Talend, Apache NiFi
- Visualization: D3.js, Plotly, Matplotlib
Good data work is mostly careful engineering: clean inputs, clear definitions, and pipelines that don’t break quietly.
Frequently asked questions
What is data analytics?
Data analytics is the work of turning raw data into answers: what happened, why it happened, and what is likely to happen next.
What types of data do you work with?
Data from ERP systems like Workday, Banner, and PeopleSoft, plus finance, operations, CRM, and spreadsheet data. Structured or unstructured, historical or real-time.
How can analytics help our organization?
Faster, better-informed decisions, less time spent reconciling numbers by hand, and earlier warning when something is going wrong.
What data services do you offer?
Data preparation and cleansing, data warehousing, business intelligence and reporting, and predictive analytics.
What is business intelligence consulting?
Helping you design and build the reporting layer: which metrics matter, how they’re defined, where the data comes from, and how people will actually use the dashboards.
What is predictive analytics?
Using historical data and statistical or machine learning models to estimate what is likely to happen next, such as demand, enrollment, or risk.
How do you make sure the data is accurate?
We profile and clean data before it reaches a dashboard, reconcile it against source systems, and agree on metric definitions with your team so everyone reads the numbers the same way.
What tools do you use?
Power BI and Tableau for reporting; Snowflake, Redshift, and BigQuery for warehousing; Python and R for analysis; Informatica and Talend for integration. We also work with the tools you already have.
How do you handle data security?
We follow your security and privacy policies, limit access to what each person needs, and use encryption and access controls appropriate to the data. If you have regulatory requirements, we build to them from the start.
What's the first step?
Tell us which questions you can’t answer today. We’ll review your systems and data, then propose a practical first step.
Have a project worth doing right?
Bring us the project that’s stuck, the system that’s slow, or the idea that needs building. We’ll give you an honest read on scope, cost, and the fastest path to done.