How long does this take to deliver?

6–8 weeks from Discovery Workshop sign-off. The 2-week Discovery Workshop runs first and is separately priced.

What does the Discovery Workshop include?

The 2-week fixed-fee Discovery Workshop produces a full technical blueprint, implementation plan, risk assessment, team structure, and milestone payment schedule. No build work begins until the blueprint is reviewed and approved.

Do you work with businesses already on Azure?

Yes. As a Microsoft Solution Partner, Techseria can deploy into your existing Azure tenant or provision a new environment. We have deep experience across all Azure service tiers.

What happens after go-live?

Techseria provides a post go-live hyper-care period. Ongoing managed services, support retainers, and enhancement sprints are available as separate fixed-fee engagements.

What size of company does Techseria typically work with?

Mid-market businesses — typically 100 to 2,000 employees — in the USA and UK.

Your Leadership Is Making Decisions on Last Week's Excel.

Techseria builds the data pipelines and analytics dashboards that replace manual reporting with real-time operational visibility — saving 20+ hours per week across your team.

Book a consultation Explore capabilities

No commitment• Fixed-fee Discovery• Response within 4 hours

Key Benefits

Real-time and scheduled

Analytics dashboards aligned to your operational KPIs — no manual data assembly required by your team

Unified ETL pipelines

On Azure Data Factory that pull, clean, and load data from all your source systems reliably

Automated data validation

And cleansing that removes inconsistencies at the pipeline level before data reaches your reports

Single analytics layer

Connecting your CRM, ERP, finance, and operational systems in one governed Azure environment

Cloud-native Azure architecture

That scales from current data volumes to enterprise scale without architectural redesign

Data governance and compliance

Built into the architecture — access controls, audit trails, and retention policies as standard

Stack

Technologies Used

Microsoft Azure Data Platform

Apache Spark & Databricks

SQL Server & Azure SQL Database