Accorda Solutions
Stop Guessing. Start Knowing.
Analytics infrastructure and strategy that gives your teams reliable, self-serve access to the metrics that matter without waiting on the data team for every question.
What we do
Most organisations have more data than they can use and less insight than they need. Dashboards nobody trusts. Metrics that differ depending on who pulls them. Data teams overwhelmed with ad-hoc requests because teams cannot answer their own questions. We fix the underlying architecture so insight flows to where decisions are actually made.
We design and build analytics systems from the ground up: event instrumentation that captures the right signals, transformation pipelines that produce clean, documented data models, and BI layers that let non-technical stakeholders answer their own questions without creating a queue. When we are done, your data team spends less time firefighting and more time on analysis that changes strategy.
We work across the modern data stack BigQuery, Redshift, dbt, Segment, Mixpanel, Looker, Tableau, Metabase and we bring governance thinking from the start. Consistent metric definitions. Documented lineage. Access controls that protect sensitive data without locking it away from everyone who needs it.
What you get
A single source of truth
One set of metric definitions, consistently computed, consistently documented so everyone in the business is working from the same numbers and arguments about data quality stop.
Self-serve analytics capability
A BI layer that product managers, marketers, and operators can use without SQL freeing your data team from repetitive ad-hoc requests and putting insight closer to decision-makers.
Faster, better decisions
When teams can answer their own questions in minutes rather than waiting days for data team bandwidth, the feedback loops that drive product and marketing decisions accelerate significantly.
Reliable data infrastructure
Event pipelines, transformation layers, and monitoring that keep your data flowing cleanly with alerting when something breaks before a stakeholder finds it in a dashboard.
How we work
A structured approach that moves fast without skipping the steps that matter.
- 01
Analytics audit
We review your current data sources, instrumentation, pipeline architecture, and BI tooling to identify what is working, what is broken, and where the biggest gaps are.
- 02
Strategy and KPI framework
We work with your leadership to define the metrics that actually matter for each team and document them precisely so there is no ambiguity in how they are calculated.
- 03
Instrumentation
We design and implement the event tracking that captures the right user and system signals working with your engineering team to make sure data arrives correctly and consistently.
- 04
Pipeline and data modelling
We build the transformation layer (typically with dbt) that turns raw event data into clean, tested, documented data models ready for analysis.
- 05
BI and enablement
We build the dashboards your teams need and run enablement sessions so they can build their own making analytics a capability that scales without bottlenecks.
Common questions
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