Built by a
practitioner.
Principal-led process, data and automation consulting. You work with an experienced architect who connects business requirements with hands-on delivery.
The ProcessBI Story
ProcessBI was founded by Manish Sharma after 15+ years delivering enterprise data, analytics, and AI projects for major Australian organisations across financial services, government, energy, and manufacturing.
The name says it: Process + BI. Sustainable data platforms require both — business intelligence without sound data processes fails, and data processes without actionable intelligence wastes everyone's time. Every engagement connects both sides.
ProcessBI operates lean: one senior architect, trusted specialist partners, no overhead, no bench costs. Clients get direct access to the person doing the work — not a relationship manager passing notes to a junior team.
For delivery at scale, ProcessBI works in collaboration with DesignersMeet — a talent network where top freelancers from 15 countries, including Australia, are engaged across design, data and engineering projects. Every freelancer is managed by local teams who are experts in their domain, so quality and accountability stay close to the work while capacity scales globally.
Organisations in Manish’s professional experience
Manish’s experience includes work with teams at the organisations below, through consulting engagements and in-house roles. These are professional experience references, not endorsements of ProcessBI.
- Asian Paints
- Coates
- Colcap
- NSW Department of Education
- Essential Energy
- Materialised
- Molo Finance
- MUFG
- Navantia
- NSW Education Standards Authority
- Selleys
- NSW State Emergency Service
- Sydney Trains
- Synergy Process Systems
- University of Sydney
15 years of enterprise delivery
Developed AI-assisted research and workflow tools to support analysis, with human review before findings inform client decisions.
Microsoft Fabric delivery across data migration, medallion architecture and semantic modelling, alongside machine-learning and analytics work. Each migration starts with the existing workload, business rules and reporting dependencies.
Large-scale government analytics delivery: emergency services volunteer operations platform, major metropolitan rail network Synapse to Databricks migration, and superannuation RTI platform. Complex multi-domain data estates (HR, Finance, Operations) across Oracle and SAP sources.
Deep Power BI specialisation — complex DAX, enterprise security, and semantic model architecture. Azure Synapse and SQL DWH delivery for manufacturing and financial services. Introduction of Analytics Creator for automated DWH generation.
SSRS, SSIS, SSAS Tabular, SQL Server, on-premises BI stack. ETL pipeline design, dimensional modelling (Kimball), and executive dashboard delivery. Quality Management Systems (ISO 9001), business process design, and statistical process control across manufacturing, retail, and professional services.
Process engineering, process design and simulations, digital twin design across industrial and academic research. Supervised machine learning and forecasting applied to manufacturing and operations optimisation.
Microsoft training & expertise
Deep hands-on experience across the Microsoft ecosystem, backed by continuous professional development and training across all major Microsoft data and AI platforms.
Recognition
Data-Driven Root Cause Analysis
Globally recognised by Kepner-Tregoe for our work applying their data-driven root-cause methodology — turning rigorous problem analysis into a repeatable, measurable practice for our clients.
Principles behind every engagement
Outcomes, Not Outputs
A Power BI dashboard is a means, not the outcome. Reduced reporting cycle time, freed analyst hours and clearer exception reporting are the outcomes. Every engagement is scoped to a business outcome with a measurable metric attached. If we can't define success before we start, we don't start.
Honest Architecture
No vendor allegiances. Fabric is not always the answer. Snowflake is sometimes right. Sometimes you don't need ML at all. We start every engagement by challenging existing assumptions, not validating them. Honest architecture assessments, even when they're uncomfortable.
Senior Delivery Only
Manish leads architecture and delivery, with specialist support where the engagement needs it. Responsibilities, review points and handover requirements are agreed at the start.
AI-Native Operations
AI-assisted research helps organise source material and explore options. Recommendations still depend on source checks, business context and professional judgement.
Knowledge Transfer, Not Dependency
The goal is a client team that can maintain what we build, not perpetual reliance on ProcessBI. Every engagement includes architecture documentation, runbooks, and — where useful — developer training. Your capability grows; the relationship evolves to higher-value work.
Australian Enterprise Context
APRA CPS 234, RG271, Privacy Act, and the specific regulatory environment of Australian financial services, government, and utilities. No need to translate global frameworks — we know the Australian compliance landscape and build it in from day one.
Useful knowledge is worth keeping.
A good finding shouldn't disappear at the end of a task. Our specialist AI agents explore technical questions, compare approaches and work through practical use cases.
We keep sources, findings and reviewed lessons connected in our own knowledge graph. That gives us something to build on when the next question comes along.
The agents are configured for specialist tasks and evaluated against them. People review the evidence before it informs a recommendation.
- Microsoft Fabric & data engineering
- Power BI & semantic models
- Data governance & security
- Analytics use cases
Work with the person who builds it
No account managers. No junior hand-offs. Direct access to Manish Sharma — the practitioner who designs, builds, and is accountable for every deliverable.
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