Data Analytics practice - governed insight on Microsoft Fabric, Databricks and Power BI
Home/Expertise/Data Analytics
ExpertiseConsulting, engineering and managed services

Data Analytics

Turn scattered data into governed, decision-ready insight on Microsoft Fabric, Databricks, and Power BI.

7expertise practices
3public clouds: Azure, AWS, GCP
150+professional certifications
01 / Overview

What we do

At a glance
Core platforms
Microsoft Fabric, Power BI, Databricks
Typical outcome
40% faster reporting cycles
Governance
Purview catalog, lineage, RLS
Engagement
Co-managed or fully managed

We unify your data estate into a single, governed analytics platform – so every team works from the same trusted numbers.

Lakehouse or warehouse, Fabric or Databricks or Snowflake, we design to your data gravity and skills, with lineage and access controls that satisfy audit from day one.

How we engage
01
Discover
Scoped, costed assessment before any build.
02
Design
Reference architecture and delivery plan.
03
Deliver
Senior engineers build in evidenced increments.
04
Operate
24x7 managed operations with named owners.
Held · re-earned annually

This expertise is backed by a Microsoft competency audited against real delivery - not a self-declared skill.

About this designation →
02 / Capabilities

What's inside the practice

Each capability is a sub-service we scope, deliver, and operate, with the engineering specifics, not brochure lines.

Lakehouse foundation

Lakehouse foundation

One governed foundation for engineering, warehousing, and data science – no more copies and silos.

OneLake, Delta, Medallion
BI & semantic models

BI & semantic models

Governed, reusable models and dashboards your business can self-serve with confidence.

DAX, RLS, Composite models
Real-time intelligence

Real-time intelligence

Streaming pipelines and event-driven KPIs for operations that can't wait for tomorrow's report.

KQL, Event streams, Reflexes
Data governance

Data governance

Cataloging, lineage, and sensitivity labeling with Microsoft Purview across the estate.

Catalog, Lineage, Sensitivity

03 / Reference architecture

How we build it

A reference pattern, not a template. Every layer is tailored to your environment, constraints, and compliance posture.

Consumption
Power BI, Embedded analytics, Notebooks & APIs
Serving
Semantic models, Warehouse, Real-time KQL
Processing
Spark / Fabric, dbt transforms, Streaming
Storage
OneLake / lakehouse, Delta tables, Bronze·Silver·Gold
Sources
LOB apps, SaaS connectors, Files & streams
Cross-cutting
Purview catalog
Lineage
Sensitivity labels
Row-level security
04 / Technology

Vendor-agnostic by design

We hold deep Microsoft specializations, and we are deliberately multi-vendor. We pick the platform and tooling that fit your outcome, your team, and your constraints, never a single badge.

The stack below is representative; we work with what you already run, and tell you plainly when something should change.

Platforms
Microsoft Fabric, Databricks, Snowflake, Azure Synapse
Transform & pipeline
dbt, Apache Spark, Data Factory, Airflow
Streaming
Apache Kafka, Event Hubs, Stream Analytics
BI & governance
Power BI, Tableau, Purview, Great Expectations
05 / Engineering standards

We go deep, on purpose

Whatever the practice, the same engineering discipline holds. These are the commitments behind every BITSUMMIT delivery.

Infrastructure as code

Infrastructure as code

Every environment is reproducible: Bicep, Terraform, and Git, never console clicks.

Observability by default

Observability by default

Dashboards, alerts, and SLOs wired in before go-live, not after the first incident.

Security baselines

Security baselines

CIS and Microsoft baselines applied as policy, with drift detection and remediation.

Tested recovery

Tested recovery

Backups and failover are proven on a schedule, with named owners and runbooks.

Documented and yours

Documented and yours

Architecture decision records and runbooks you own: no black boxes, no lock-in.

FinOps discipline

FinOps discipline

Cost is a first-class metric: budgets, tagging, and right-sizing from day one.

Standards & frameworks

Built to the standards your auditors check

We build to the standards your auditors, insurers, and regulators actually check – and keep the evidence current between audits.

Governed by design

Microsoft Purview cataloging, lineage, and sensitivity labeling across the estate - so every dataset has an owner, a classification, and a traceable history.

Access control

Row-level security and least-privilege access travel with the data, enforced consistently across reports, models, and notebooks.

Audit-ready from day one

Lineage and access controls are designed to satisfy audit from the first release, not retrofitted after a finding.

Privacy alignment

PIPEDA, Québec Law 25, and GDPR alignment through Microsoft Purview classification and DLP.

06 / By the numbers

Outcomes our clients see

1
Single source of truth across the organization.
40
%
Faster reporting cycles after consolidation.
90
%
Of datasets cataloged and lineage-tracked.
Alcohol and Gaming Commission of Ontario Government Agency - BITSUMMITS
07 / Case study · Government Agency

AGCO Gets One View Across Connect and Salesforce

BITSUMMIT unified AGCO's Amazon Connect call data and Salesforce case data in Azure Synapse - one Power BI view, 40% faster transfers, no AWS expertise needed.

40
%
Faster cross-cloud data transfer
15
%
Lift in first-call resolution
48
h+
KPI reporting delay eliminated
Read the full case study
08 / Insights

From the BITSUMMIT blog

All articles
No items found.

Prefer deeper reading? Browse our whitepapers →

09 / FAQ

Questions we hear

Does this set us up for AI?

That's the design goal: a governed foundation with cataloging, lineage, and access controls means AI is grounded only on data it's allowed to touch.

Can you handle real-time use cases?

Yes - streaming pipelines and event-driven KPIs for operations that can't wait for tomorrow's report.

How long until teams see value?

Consolidation typically shows up as roughly 40% faster reporting cycles - every team working from the same governed numbers instead of competing copies.

Fabric, Databricks, or Snowflake?

We design to your data gravity and skills, not a single vendor - lakehouse or warehouse, the platform is chosen to fit your estate.

How do you handle sensitive data?

Purview sensitivity labels and row-level security travel with the data, enforced consistently across reports and notebooks.

Do we have to abandon Power BI?

No – your existing reports and semantic models carry forward and gain a governed lakehouse underneath.

Let's break some barriers.

Tell us what you're trying to modernize, secure, or migrate. We'll bring a plan and a named senior engineer, not a sales pitch.

Schedule a call →

A named senior engineer will respond within one business day.

×

TALK TO A SPECIALIST

Tell us what you need

A 30-minute working session with a senior specialist, not a sales call.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.