Dashboards, pipelines and forecasting
Data Analytics
Data analytics services: data pipelines, warehouses and dashboards that put sales, marketing and operations numbers in one place, plus forecasting where it adds value.
- One source of truth
- Dashboards for each team
- Forecasting when the data supports it
// overview
Data Analytics: overview
Most growing companies have their numbers spread across a CRM, an ad account, an accounting tool and a dozen spreadsheets. We connect those sources into one warehouse and build dashboards your teams use.
Clean data is also what makes AI useful. AI agents and forecasting models are only as good as the data they read, so analytics is often the first step of an automation project.
// deliverables
Data Analytics: what we deliver
- Data audits and metric definitions
- ETL and ELT pipelines from your apps, CRM and ad platforms
- Data warehouses on BigQuery, Snowflake or PostgreSQL
- BI dashboards in Looker Studio, Power BI or Metabase
- Marketing attribution and funnel reporting
- Forecasting and churn prediction models
- Automated weekly and monthly reports
- Data quality monitoring
// impact
What changes for your business
Agreed definitions
Teams stop arguing about whose number is right because each metric is defined once.
Less manual reporting
Reports update automatically instead of being rebuilt in spreadsheets each month.
Ready for AI
Structured, documented data is the foundation for agents and predictive models.
// process
How we work
Most projects run 4 to 16 weeks. You can hire us for a fixed-scope project, a monthly retainer or a dedicated team.
- 01
Free discovery call
A 30-minute call about your goals, constraints and current systems.
- 02
Scope and proposal
A written scope, timeline and price within 3 to 5 business days.
- 03
Design and prototype
A short sprint to test the riskiest parts before the full build.
- 04
Build in two-week sprints
Working software demoed at the end of every sprint, so you can change direction early.
- 05
Launch and improve
Release, monitoring and a list of the next improvements based on real usage.
// stack
Tools and technologies
// FAQ
Data Analytics: frequently asked questions
Do we need a data warehouse?
If you combine data from more than two or three tools or need history beyond what each tool keeps, a warehouse usually pays for itself. For smaller setups, direct dashboard connections can be enough.
Which dashboard tool should we use?
It depends on who uses it and what you already pay for. Looker Studio is free and works well with Google tools; Power BI fits Microsoft companies; Metabase is a good open-source option.
// contact
Talk to us about Data Analytics
Tell us what you are planning. We reply within one business day.
- Reply within one business day
- Your details stay private
- Free 30-minute call