Microsoft BI (MSBI)

The MSBI development company for the Microsoft stack behind your reporting

BinaryBrill is an MSBI development company working across the wider Microsoft stack that feeds and structures your reporting — SSIS for integration, SSAS models for shared calculation logic, and the migration path to Azure or Fabric when it's time. In-house senior engineers handle SSIS SSAS SSRS development as a connected estate, not isolated tools, because that's how these platforms actually get used together.

A senior engineer replies within 24 hours — not a sales rep.

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Why the Microsoft BI stack becomes a maintenance burden

SSIS packages nobody dares touch

The integration layer is a set of SSIS packages built years ago by someone who's since left, with no logging beyond whatever the default gives you and no restart point if a long-running load fails halfway through. Every schema change upstream means opening a package in Visual Studio and hoping the person doing it remembers all the dependencies.

The same business logic is written five different ways

Gross margin, active customer, or whatever the metric that matters most is calculated separately in an SSAS cube nobody's updated in years, a set of Excel formulas the finance team maintains, and a handful of Power BI reports that each define it slightly differently. There's no single shared model, so every output is technically defensible and none of them agree.

The on-premise SQL Server estate is ageing and nobody's moved it

Licensing renewal is coming up, the hardware is out of support, and everyone knows a move to Azure or Fabric is coming eventually. But nobody has planned the migration because the current setup, however creaky, still technically works, and touching it feels like the kind of risk that only gets taken after something breaks.

Gateway and service account setup is held together by memory

The on-premise data gateway connecting cloud reports to on-premise SQL Server was configured once, the service account credentials are known to one person, and nobody's documented what happens if that gateway server needs replacing. Refresh scheduling across the hybrid setup is fragile in a way nobody wants to test.

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What MSBI development covers across the Microsoft stack

MSBI is less one product than several that need to work together — integration, modelling, migration and the hybrid infrastructure connecting them. We treat it as one estate and design across it rather than patching each piece in isolation.

SSIS built for restart, not just for running once

Integration packages carry proper logging and checkpoints, so a long-running load that fails at step seven of ten resumes from step seven rather than starting over — or worse, requiring someone to manually work out how far it got. Failures are visible and specific, not a generic job-failed notification.

SSAS as the one place business logic lives

A tabular model holds shared calculation logic once, serving Power BI, Excel and paginated reports from the same definitions. When a measure's definition changes, it changes everywhere at once, rather than requiring someone to remember every place it was independently written down.

Migration planned as a project, not a reaction to a failure

Moving on-premise SQL Server BI workloads to Azure SQL, Synapse or Microsoft Fabric happens on a timeline you choose, with a parallel-run period to validate the new environment against the old before anything is decommissioned. That's a materially different experience from migrating under pressure after a server failure.

Hybrid infrastructure documented and hardened

Gateway configuration, service account ownership and refresh scheduling across on-premise and cloud components are documented and set up so they don't depend on one person's memory. Credential rotation and gateway replacement become routine operations instead of events nobody wants to schedule.

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What this covers

Pick the piece you need, or bring us the problem and we'll tell you which applies.

SSIS Integration & ETL Development

SSIS packages built for scheduled integration work that actually recovers from failure — proper logging, restartable checkpoints on long-running loads, and clear error surfacing instead of a generic job-failed notification.

  • SSIS packages for scheduled integration, with logging and restartable checkpoints on long-running loads
  • Package refactoring for existing estates where reliability, not a rewrite, is what's needed
  • Error handling that names the failing step rather than requiring someone to dig through logs

SSAS Tabular & Multidimensional Model Development

SSAS models that hold shared business logic once, serving Power BI, Excel and paginated reports from a single definition — so a measure means the same thing wherever someone builds a report against it.

  • SSAS tabular models that hold shared business logic once for Power BI, Excel and paginated reports
  • Migration from legacy multidimensional cubes to tabular where it fits the workload better
  • Consolidation of business logic previously duplicated across spreadsheets and individual reports

Azure & Microsoft Fabric BI Migration

Migration of on-premise SQL Server BI workloads onto Azure SQL, Synapse or Microsoft Fabric, run as a planned project with a parallel-run validation period rather than a reaction to a hardware or licensing failure.

  • Migration of on-premise SQL Server BI workloads to Azure SQL, Synapse or Microsoft Fabric
  • Parallel-run validation comparing old and new environments before decommissioning anything
  • Migration sequencing that keeps existing reporting running throughout the move

Gateway Configuration & Hybrid BI Infrastructure

The connective infrastructure between on-premise SQL Server and cloud reporting tools, documented and hardened so it doesn't depend on one person's memory — gateway configuration, service account hygiene and refresh scheduling.

  • Gateway configuration, service account hygiene and refresh scheduling across hybrid environments
  • Documentation covering gateway replacement and credential rotation as routine operations
  • Refresh scheduling coordinated across on-premise sources and cloud-hosted reports

MSBI Estate Modernisation & Consolidation

For estates with years of accumulated SSIS packages, SSAS cubes and SSRS reports, a consolidation pass that identifies what's duplicated, what's safe to retire, and what needs rebuilding — before a migration or a Power BI rollout compounds the existing mess.

  • Full estate inventory across SSIS, SSAS and SSRS with a keep, consolidate or retire recommendation
  • Duplicate business logic identified and consolidated into a single shared model
  • A staged modernisation plan sequenced to avoid disrupting reporting that's currently working

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The stack we build on

Chosen to fit the problem — not because it's what we used last time.

Microsoft BI stack

  • SSIS
  • SSAS (Tabular & Multidimensional)
  • SSRS
  • SQL Server
  • Power BI

Migration targets

  • Azure SQL Database
  • Azure Synapse Analytics
  • Microsoft Fabric
  • Azure Data Factory

Modelling & query

  • DAX
  • MDX
  • T-SQL
  • Tabular Editor
  • SSMS

Governance & delivery

  • Microsoft Entra ID
  • On-premises Data Gateway
  • Azure DevOps
  • Git

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How we'll work together

Every stage ends with something in your hands — not a status update.

  1. 01

    Estate audit

    We inventory every SSIS package, SSAS model and SSRS report in the current estate, along with the gateway and service account setup connecting on-premise and cloud components. This usually surfaces logic duplicated across more places than anyone remembered.

    You get: A documented inventory of the current MSBI estate, with a keep, consolidate or retire recommendation for each component.

  2. 02

    Consolidate shared logic

    Business logic scattered across packages, cubes and spreadsheets gets consolidated into a single SSAS tabular model, validated against existing reports before anything downstream is repointed at it.

    You get: A documented SSAS tabular model with a measure dictionary, reconciled against current reporting outputs.

  3. 03

    Rebuild integration and reporting on the model

    SSIS packages are rebuilt or hardened with proper logging and restart checkpoints, and reports across Power BI, Excel and SSRS are repointed to draw from the shared model rather than their own logic.

    You get: Hardened SSIS packages with logging and checkpoints, and reports connected to the shared SSAS model.

  4. 04

    Migrate, or harden in place

    Where a move to Azure SQL, Synapse or Fabric is in scope, we run it as a parallel-run migration with validation against the old environment. Where staying on-premise is the right call for now, we harden gateway configuration and service accounts instead.

    You get: Either a validated migration to the target Azure or Fabric environment, or hardened on-premise infrastructure documentation — plus a working session with your team.

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Where we've applied this

Finance

Ledger and management reporting built on an SSAS tabular model shared across Excel and paginated regulatory output, so the audit trail traces to one definition rather than several.

Manufacturing

Production and quality data integrated through hardened SSIS packages with restart checkpoints, so a long-running overnight load recovers cleanly from a mid-run failure.

Retail

Sales and inventory logic centralised in an SSAS model feeding both interactive Power BI dashboards and the printed statement runs finance still needs.

Healthcare

Scheduling and billing data integrated via SSIS with logging that satisfies an audit requirement, migrated to Azure SQL on a timeline the organisation controls.

Logistics

Consignment and carrier data consolidated into a shared model, feeding both dashboards for operations and the paginated statements carriers are invoiced against.

Professional services

Utilisation and billing logic held once in an SSAS model, migrated off an ageing on-premise server onto Microsoft Fabric as part of a planned refresh.

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Questions buyers ask us

Is MSBI development right for us, or should we just move straight to Power BI?

If your reporting already sits on SQL Server with SSIS packages and SSAS models doing real work, MSBI development modernises that estate without discarding what's functioning — often the SSAS model becomes the shared source Power BI reports draw from, rather than being replaced by it. If you're starting fresh with no existing Microsoft BI investment, going straight to Power BI on a modern model is usually simpler. We'll tell you honestly which situation you're in.

A focused migration or a consolidation project suits a fixed-scope engagement with an implementation partner — the skill set for SSIS, SSAS and a cloud migration together is specific and doesn't need to be permanent in-house capacity for a one-off project. If your organisation runs a large, actively changing SQL Server BI estate long-term, having engineers who know it well embedded with your team pays off over time. We'll give an honest read during scoping rather than default to either.

The size and tangle of the existing estate drives most of the cost — a handful of well-documented SSIS packages is quick work, while years of accumulated, undocumented packages and duplicated SSAS logic across multiple cubes takes considerably longer to untangle safely. A migration to Azure or Fabric adds its own timeline on top, driven by data volume and how much downtime the business can tolerate. A consolidation of an existing estate typically runs a few weeks to a couple of months; a full migration is usually a few months depending on scope.

We run migrations with a parallel-run period specifically so the new environment is validated against the old before anything on-premise is decommissioned, which minimises the exposure of any single cutover. Access controls, gateway credentials and service accounts are reviewed and hardened as part of the migration rather than carried over unexamined, and data moves through your own Azure tenant rather than any infrastructure outside your control.

If the current on-premise SSIS, SSAS and SSRS estate is small, stable and not under licensing or hardware pressure, migrating for its own sake adds cost and risk without a clear return. We'd rather harden and document what you have — proper logging, gateway configuration, service account hygiene — than push a migration that doesn't earn its keep yet. The right time to move is usually when hardware, licensing or a genuine scale need forces the question.

Alongside it, almost always. The Microsoft BI stack — SSIS for integration, SSAS for shared modelling — typically feeds Power BI rather than replacing it: an SSAS tabular model becomes the governed source that Power BI reports connect to, and SSIS keeps that model's underlying data current. We build MSBI work with that relationship in mind rather than treating it as a separate, competing platform.

Yes, and it's a common starting point. We audit the existing SSIS packages, SSAS models and SSRS reports, document what's there, and give an honest assessment of what to keep, consolidate or retire. Sometimes hardening what exists is the right call; sometimes years of duplicated logic mean consolidating into a single model costs less long-term than continuing to maintain several conflicting ones.

Our own in-house engineers in Sahibzada Ajit Singh Nagar, Punjab — 45+ of them, with over a decade of combined delivery experience, delivering for clients in 15+ countries. Nothing is subcontracted. You meet the engineers who will be on your project before you sign, and the person demonstrating the work each sprint is the person who built it.

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Tell us what's running on SQL Server today

Send us a note on your current SSIS, SSAS or SSRS setup and where it's causing friction. A senior engineer replies within 24 hours with a straight read on what's worth keeping and what a migration would actually involve.