One trusted set of numbers for every team.
We bring data from your systems into one governed platform, catalog it, and build the reports and dashboards your teams use each day. We work on Databricks, Power BI, SAS and the databases you already run.
Four problems we hear about data
Each one costs time in every meeting that depends on a number.
-
Every team has its own numbers
When reports come from different extracts, meetings start with an argument about whose figure is right. We build one governed data layer with clear definitions and lineage.
-
Data arrives late
Overnight batch jobs leave dashboards a day behind. We build pipelines that load data as it changes, where the business needs it fresh.
-
Nobody knows what data exists
Analysts spend days finding the right table. We catalog your data with owners, definitions and quality checks.
-
Reports take days to build by hand
Spreadsheets copied between systems break easily. We automate the data preparation and build dashboards that refresh on their own.
What we deliver
Six services, from the first pipeline to the dashboard on the screen.
- Data pipelines
- Ingestion from databases, applications and files, in batches or as data changes.
- Lakehouse and warehouse
- A data platform on Databricks or your existing warehouse, organized for analysis.
- Data catalog and quality
- Owners, definitions, lineage and automated quality checks.
- Dashboards and reporting
- Power BI and SAS reports that answer the questions your teams ask.
- Advanced analytics
- Forecasts and statistical models built on the governed data.
- Database support
- Monitoring, backup and recovery for the databases you run.
Industries where we do this
Taken from our capability matrix. Each industry page shows the problems we solve there.
- InsuranceCarriers, MGAs and brokers.
- LegalLaw firms and legal departments.
- Media and AdTechStreaming, publishing and ad platforms.
- Financial servicesBanks, capital markets, wealth managers and payments.
- Pharma and life sciencesPharma, biotech and clinical research.
- Retail and e-commerceRetailers, marketplaces and consumer brands.
- Energy and utilitiesPower, gas, water and renewables.
How a data engagement runs
Four phases, starting with the reports your teams use most.
- 1
Assess
We map your data sources, your reports and the decisions they support.
- 2
Design
We design the data platform, the definitions and the first dashboards, with timeline, team and cost.
- 3
Build and deliver
We build pipelines, quality checks and reports, starting with the reports your teams use most.
- 4
Support and improve
After go-live we monitor data quality, tune performance and hand over documentation.
Why teams work with us
What you can expect from us on every engagement.
- Definitions agreed first
- We agree what each number means with the business before we build the report.
- One accountable partner
- One team runs the work from requirements to go-live, and one person answers for it.
- A certified diverse supplier
- Infinity Tech Group is certified women- and minority-owned, which counts toward supplier diversity goals.
Talk to us about your data and reporting
A 30-minute call with a data engineer. We look at your data sources and the reports that take longest to produce, and you leave with clear next steps.