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Data analytics consulting

Data analytics consulting: pipelines, warehouses and dashboards that answer real questions

Good reporting starts with a question someone needs answered every week. We work back from those questions to the data model, pipelines and dashboards needed to answer them reliably.

  • Data warehouse and lakehouse design on AWS, Azure or Google Cloud
  • Pipelines from CRM, ERP, booking and web analytics sources
  • Power BI and Tableau dashboards
  • Data quality checks and documentation

What we deliver

Analytics roadmap

A short assessment of sources, tools and reporting needs, with a prioritised plan.

Data engineering

Batch and streaming pipelines that load, clean and model data on a schedule you can rely on.

Warehouse modelling

Fact and dimension models that make metrics consistent across teams.

Dashboards

Power BI or Tableau reports designed with the people who will use them.

Salesforce analytics

CRM data combined with finance and operations data for a fuller view of the customer.

Travel analytics

Booking, search and supplier data modelled for revenue, conversion and margin reporting.

How we work

  1. Step 1

    Agree the questions

    Which decisions the data should support, and who makes them.

  2. Step 2

    Audit the sources

    Where the data lives, how clean it is and how often it changes.

  3. Step 3

    Build the foundation

    Pipelines and models, tested against known figures.

  4. Step 4

    Ship dashboards

    Reports released in small increments and refined with users.

Frequently asked questions

Which BI tools do you work with?

Mainly Power BI and Tableau, with warehouses on Snowflake, BigQuery, Redshift or Azure. We recommend tools based on what you already use.

Can you work with our existing data team?

Yes. We can lead a project or add engineers to your team for a defined period.

Tell us what you are working on

Share your goals and current setup. We will come back with questions, a suggested approach and the next steps.

Contact Raushang4 Technology