We have data in many different systems. Where do you start?

With a data assessment. We map all your data sources, understand what decisions each needs to inform, and prioritise the components that deliver the most operational value first.

Do we need to replace our existing systems to improve reporting?

No. Our data engineering approach connects to your existing systems — ERP, CRM, spreadsheets, and APIs — without requiring you to replace them. We add the intelligence layer on top.

We already use Power BI. Can you build on top of what we have?

Yes. We can work with your existing Power BI environment, improving data models, adding data sources, and creating consistent semantic layers. We don't require a blank-slate rebuild.

Unify Business Data for Better Decisions

What does your data situation actually look like?

If any of the following are true, you have a data problem that is costing you in ways that compound quietly:

Your weekly reporting takes hours to assemble manually from multiple exports

Different teams are working from different versions of the same figures

You can't answer a question about your business without asking someone to run a report

Your ERP, CRM, and project tools don't talk to each other

You have data — but no single, trusted view of what it means

Decisions that should be real-time are based on last week's export

What decision-ready data looks like in practice

We build data systems that surface reliable, real-time insights — so decisions are based on current, consistent information, not delayed reports.

Live operational dashboards with real-time KPIs — no manual refresh or reporting delays

Automated reporting pipelines that eliminate manual report preparation

Consistent data across finance, operations, CRM, and ERP — a single source of truth

Trend visibility and predictive indicators to act before issues escalate

Process

How we deliver a data engineering engagement

Phase 1

Data Assessment

We map your current data landscape — what systems you have, where data lives, what decisions it needs to support, and what is currently preventing that.

Phase 2

Roadmap and Architecture Design

A clear data architecture plan with defined components, delivery phases, and a fixed implementation cost.

Phase 3

Pipeline and Dashboard Delivery

Fixed-fee implementation sprints delivering pipeline components, warehouse structure, and dashboard views in phases — with each phase independently testable and usable.

Results

A professional services firm with 150 staff was producing its management pack manually every week — pulling data from three separate systems, reconciling inconsistencies, and formatting reports in Excel. Techseria built a data pipeline connecting their ERP, CRM, and project management system into an Azure Synapse warehouse, with a Power BI management dashboard replacing the manual process. The weekly reporting cycle was replaced by a live dashboard accessible to the leadership team at any time.

Capabilities Used

Azure Data Factory, Azure Synapse Analytics, Power BI, dbt

Faq

Frequently asked questions

What decisions would you make faster with better data?

Start with a fixed-fee data assessment. We'll map your current data landscape and show you exactly what's needed to build a reliable operational view.

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