Data engineering, analytics & BI

One version of the numbers everyone can trust.

Data pipelines, warehouses, Power BI dashboards, KPI definitions, data quality and access governance. Santre connects the systems your data lives in and turns it into reporting people actually use.

Start with the decisions you need data for.

Overview

Data Engineering, Analytics & Business Intelligence

Santre's data and business intelligence service connects data from accounting, CRM, ERP, operations and Microsoft 365 into a governed data model and delivers it through Power BI dashboards and reports. It covers data pipelines and integration, cloud data warehouses, KPI and metric definitions, report design, row-level security and data-quality monitoring. It is for organizations where month-end reporting is assembled by hand, departments quote different numbers, or leaders want to see performance without waiting for a spreadsheet.

Who it is for

  • Finance teams assembling month-end reports by hand
  • Leaders who get different numbers from different departments
  • Operations managers who want live performance dashboards
  • Organizations preparing data for AI projects

What’s included

From raw data to the decision.

Data engineering

Reliable pipelines that bring data together on a schedule, with checks that catch problems early.

  • Data pipelines and ETL / ELT
  • Integration with accounting, CRM and ERP
  • Cloud data warehouses and lakehouses
  • Data-quality checks and alerting

Business intelligence

Dashboards built around the questions leaders ask, not around the tables that exist.

  • Power BI dashboards and reports
  • Semantic models and KPI definitions
  • Paginated and scheduled reporting
  • Embedded analytics in portals
How it works

Each KPI has one written definition and one calculation in a shared semantic model, so 'revenue' or 'on-time delivery' means the same thing on every report that uses it.

Governance and access

The right people see the right data, and you can show who had access.

  • Row-level and object-level security
  • Workspace and licence administration
  • Data catalogue and lineage
  • Retention and privacy controls

Data for AI

Prepare clean, permissioned data that AI tools can safely use.

  • Data readiness assessments
  • Document and knowledge-base preparation
  • Retrieval-augmented generation (RAG) data sources
  • Forecasting and predictive models

When to consider it

Signs it is time to act

  • Month-end reporting takes days of copying and pasting
  • Two departments report different numbers for the same metric
  • Leaders wait for someone to build a spreadsheet before deciding
  • Power BI exists but few people trust or open the reports
  • You want to use AI but your data is scattered and unlabelled

How Santre delivers it

A clear process from first review to ongoing care

  1. Question

    Start from the decisions leaders need to make and the metrics that inform them.

  2. Connect

    Map data sources, build pipelines and define a shared data model.

  3. Visualize

    Design dashboards with the people who will use them, then validate the numbers.

  4. Govern

    Set access, monitor data quality and refine reports as the business changes.

Scope

Technologies and boundaries

Platforms commonly in scope

  • Microsoft Power BI
  • Microsoft Fabric
  • Azure data services
  • SQL databases
  • Data pipeline tools
  • Python for analytics

Where this service ends

Building the business application that captures data belongs to Custom Software; AI models and agents that act on the data belong to AI & Intelligent Automation. This service owns pipelines, models, reporting and data governance.

Frequently asked questions

Questions about Data & BI

It depends on who builds and who views reports. Power BI Pro is needed to share content, Premium Per User adds larger models and advanced features, and Microsoft Fabric capacity can let viewers read reports without individual licences. Santre recommends a licensing model after reviewing your users and workloads.

Not always. A first dashboard can often connect directly to one or two systems. A warehouse becomes worthwhile when you combine several sources, need history the source systems do not keep, or reporting starts slowing them down.

AI tools are only as reliable as the data and permissions behind them. The same pipelines, definitions and access controls that make reporting trustworthy also make AI answers accurate and safe.

Stop rebuilding the same report every month.

Start with the decisions you need data for.

Prefer to talk first? Call (888) 652-3358 or email enquiries@santre.ai.