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Data and business intelligence.
Your numbers are spread across a dozen systems that were never designed to agree with each other. We consolidate them into one warehouse, build the pipelines that keep it current, and deliver reporting the business will actually run on.
Raw data is not insight. It's homework.
Every platform you run holds a piece of the picture — the CRM knows the pipeline, finance knows the margin, the ticketing system knows the cost to serve. On their own, each one produces a report that is true and useless.
Our work is the join: getting that data into one place, agreeing what the numbers mean, and turning it into visualization and analytics that give you deeper visibility into your own operation — so decisions get made faster and on better grounds.
Inventory
Map every system that holds a number someone reports on — CRM, finance, ticketing, payroll, the spreadsheet on somebody's desktop.
Model
Agree the definitions before the pipelines. If two teams mean different things by "active customer," no warehouse will fix the argument.
Pipeline
Build the extracts and transforms, schedule them, and make the failures loud instead of silent.
Report
Dashboards that answer the questions people actually ask, on data they trust because they watched it get built.
One place where the numbers agree.
Cloud warehousing platforms let you store, process, and analyze a large volume of data efficiently, without buying hardware to do it. We design the model, stand up the platform on the cloud you already use, and consolidate your application ecosystem into it — which is what makes advanced analytics and predictive modeling possible later.
- Warehouse design and dimensional modeling
- Platform selection across Snowflake, BigQuery, Synapse, and Redshift
- Consolidation of CRM, ERP, finance, ticketing, and workforce data
- Access control wired to your existing identity provider
Snowflake
Cloud data warehousing that separates storage from compute, so scale is a dial rather than a migration.
Google BigQuery
Serverless warehousing on GCP — strong fit when the analytics estate already lives in Google.
Azure Synapse
The natural landing place when the organization is standardized on Microsoft and Entra.
Amazon Redshift
Warehousing on AWS, alongside the infrastructure we may already run for you there.
PostgreSQL and SQL Server
Operational data stores and reporting replicas where a full warehouse is more than the problem needs.
Data lakes and object storage
Raw and semi-structured landing zones on S3, Azure Blob, or GCS, feeding the warehouse downstream.
The part that has to run at 3am.
A warehouse is only as good as the loads that fill it. We build the extract and transform processes that pull from APIs, databases, and files, schedule them, and instrument them — so a failed load raises an alert rather than quietly serving a stale dashboard to an executive.
- ETL and ELT process design and build
- API, database, and file-based extracts
- Incremental loading and change-data capture
- Monitoring, alerting, and reprocessing when a load fails
Reporting somebody will open twice.
Tools like Tableau and Power BI turn raw data into something a person can act on. The hard part is not the chart — it's knowing which question the report is for. We build the dashboards around real decisions, then hand them over with the documentation and training to keep them alive.
- Executive dashboards and operational reporting
- Tableau, Power BI, and Looker Studio builds
- Self-service datasets so analysts aren't blocked on us
- Documentation, training, and handoff to your team
Tableau
Deep, exploratory visual analysis for teams that want to interrogate the data themselves.
Microsoft Power BI
Strong fit where the organization already runs Microsoft 365 and Entra identity.
Looker Studio
Fast, shareable reporting across Google-native data sources. Formerly Google Data Studio.
Embedded reporting
Dashboards built directly into the applications your teams already have open all day.
Consolidation, pipelines, reporting, governance.
Consolidation
- Data warehousing of the full application ecosystem
- One definition per metric, agreed across teams
- Historical data retained beyond what source systems keep
- A single place to answer a cross-system question
Pipelines
- ETL and ELT processes on a reliable schedule
- API, database, and file-based extracts
- Incremental loads and change-data capture
- Monitoring and alerting when a load fails
Reporting
- Executive dashboards and operational reporting
- Self-service datasets for analysts
- Scheduled distribution to the people who need it
- Reports built to answer a decision, not to fill a page
Governance
- Access control aligned to your identity provider
- Documented lineage from source to dashboard
- Retention policies and compliance review
- Handoff and training so your team can own it
Still reconciling reports by hand?
Tell us which numbers never match and we'll show you where they diverge. Call 888-529-8555.
Decide on data, not on recollection.
A warehouse, the pipelines to keep it current, and reporting built around the decisions your business actually makes.