Data Analytics & BI Consulting

From data silos to dashboards your team can act on

Most companies have more data than they use

Spreadsheets pile up, dashboards age out, and the answers business needs sit one query away — but no one trusts the data enough to act on it. The 2026 data stack has more tools than ever, which makes the choice harder, not easier.

We help SMEs and startups build the data foundation they actually need — not the over-engineered platform a Fortune-500 vendor would sell them. After a consultation, you'll know which problems are worth solving with data, which tools fit your scale, and what to invest in over the next 12 months.

Our clients use Data Analytics & BI consulting to:

  • design a data foundation that matches your scale — warehouse choice, ELT, orchestration, governance
  • clean up data quality and lineage so people trust the numbers
  • pick the visualization tool that fits your team (Tableau, Power BI, Looker, Metabase, Superset)
  • design a semantic layer so revenue, churn, and MRR mean the same thing everywhere
  • assess data analytics pipelines on GCP, AWS, Azure, and Databricks
  • evaluate where real-time and streaming are worth the operational cost
  • design RAG and natural-language analytics layers on top of your warehouse
  • roadmap data governance and privacy (Swiss DSG, GDPR)
How Data Analytics and Business Intelligence are used in different industries:
  • Finance: forecasting and risk management on current and historical data, KPI dashboards, financial reporting, LLM-assisted document review.
  • Sales & RevOps: pipeline forecasting, price testing, performance dashboards, reverse-ETL of analytics insights back into the CRM.
  • Marketing: customer segmentation and personalisation, attribution modelling, A/B testing, generative content variations.
  • E-commerce: demand forecasting, recommender systems, search relevance tuning, conversational shopping with RAG grounded in your catalogue.
  • Operations: anomaly detection on logs and metrics, predictive maintenance, internal copilots over wikis and SOPs (RAG).
  • Accounting & Finance Ops: see our case study — a Business Intelligence platform for a Swiss accounting company.

These are common starting points — in practice, almost any team that captures data can compound returns from analytics. Contact us for a Data Analytics and Business Intelligence consultation.

We also build the systems we recommend — see our Data Analytics & BI solutions page for the tooling and stack choices we deliver.