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Azure Synapse Analytics Consultancy

The strategic technology partner for scalable organisational growth.
Why partner with us

Partnering with Zenzero gives you the expertise to consolidate, govern and analyse your data without the cost of building an in-house data team.

When business data is spread across SQL databases, spreadsheets, legacy platforms and disconnected applications, reporting becomes slow, inconsistent and difficult to trust.

Microsoft Azure Synapse Analytics combines enterprise data warehousing, big data analytics, data integration and machine learning within one connected Microsoft platform. It gives organisations a governed way to collect, transform, query and analyse information at scale using serverless or dedicated resources.

Zenzero designs Azure-native data platforms around the reporting, operational and strategic decisions your organisation needs to make. We combine Azure Synapse Analytics with Azure SQL, Azure Data Factory, Azure Data Lake Storage and Power BI to create trusted data models, automated reporting and a secure foundation for future analytics and AI.

Partnership

Why partner with Zenzero for Azure Synapse Analytics?

Zenzero starts with the business questions you need your data to answer. We identify which figures matter, where the information comes from, who owns it and how frequently it needs to be updated before designing the technology behind the solution.

Our specialists support source discovery, data ingestion, pipeline development, warehousing, modelling, Power BI reporting, security and monitoring. We can also assess whether Azure Synapse Analytics, Microsoft Fabric or a phased approach using both is best suited to your current environment and future roadmap.

Benefits

Benefits of Azure Synapse Analytics

Azure Synapse Analytics helps organisations replace manual reporting processes and disconnected data sources with a scalable, governed analytics platform. Automated pipelines collect, clean and transform information consistently, reducing spreadsheet reconciliation and the time teams spend preparing reports.

Shared data models and agreed reporting definitions also help different departments work from the same version of the truth. Integration with Power BI, Azure Machine Learning and wider Azure services creates a stronger foundation for reliable dashboards, predictive insight and future AI adoption.

Trusted analytics at scale

Build a reporting platform your business can rely on.

Bring information from databases, spreadsheets, applications and legacy systems into one governed Microsoft analytics environment. Zenzero designs the architecture, pipelines and data models needed to create secure, consistent and scalable reporting.

By improving data quality, automation and visibility, we help reduce manual work and give leaders greater confidence in the figures used to monitor performance, identify opportunities and plan future investment.

Challenges

Common data and reporting challenges we help with.

Reports take too long to produce

Manual exports, spreadsheet cleaning and repeated reconciliation can make reporting unnecessarily time-consuming. We build automated ingestion and transformation pipelines that make reporting more repeatable and reduce reliance on individual spreadsheet owners.

Nobody trusts the numbers

When teams calculate the same KPI differently, reporting becomes difficult to use with confidence. We create agreed definitions, governed data models and consistent reporting layers so departments work from clearly understood information.

Legacy systems restrict progress

Ageing SQL Server environments, SSRS reports, Access databases and manual integrations can be difficult to maintain and scale. We help modernise these systems using Azure Synapse Analytics and related Microsoft technologies while protecting essential reporting requirements.

Performance and costs are difficult to control

Analytics workloads can vary across scheduled reporting, ad hoc analysis and large-scale processing. We design the right balance of serverless and dedicated resources, introduce monitoring and improve cost visibility so consumption reflects genuine business demand.

Say hello

Ready for
better outcomes?

Still have Qs?

Questions we
often get asked:

What is Azure Synapse Analytics?

Azure Synapse Analytics is Microsoft’s limitless analytics service that brings together enterprise data warehousing and big data analytics. Azure Synapse brings together SQL technologies, Spark technologies, data integration and deep integration with other Azure services, allowing organisations to query data using either serverless or provisioned resources at scale. In practical terms, it helps businesses consolidate data from multiple systems into a more structured and governed platform for analytics and reporting.

Is Azure Synapse Analytics being replaced by Microsoft Fabric?

Microsoft Fabric is Microsoft’s newer unified analytics platform and is the strategic direction for many new data platform builds. Azure Synapse Analytics remains relevant for established Azure data warehouse estates, SQL based architectures and certain enterprise workloads. The right answer depends on your current environment, reporting needs, technical maturity and long-term roadmap.

Do we need Azure Synapse or Microsoft Fabric?

It depends what you are trying to achieve. If your priority is modernising an existing Azure data warehouse, dedicated SQL pools or SQL heavy reporting architecture, Azure Synapse may be appropriate. If you want a unified SaaS analytics platform that brings data engineering, warehousing, data science and Power BI closer together, Microsoft Fabric may be the better direction. Zenzero can assess both options and recommend the right path.

Can Azure Synapse support AI readiness?

Yes, but only as part of a wider governed data strategy. AI tools depend on clean, accessible and properly controlled data. Azure Synapse can help create that foundation by consolidating data, applying structure and supporting reliable analytics. It also connects with Azure Machine Learning, so predictive analytics and machine learning can be built on governed data rather than isolated experiments.

How does Azure Synapse help with Power BI?

Azure Synapse provides a structured, scalable data foundation for Power BI. Instead of Power BI reports connecting directly to multiple inconsistent sources, the data can be consolidated, cleaned, modelled and governed first. This makes dashboards more consistent, easier to maintain and more trusted by the business.

How do we monitor and manage an Azure analytics platform?

Monitoring should be designed into the platform. Microsoft Azure services can be monitored using native Azure tooling in the Azure portal, and the right monitoring approach should cover performance, reliability, cost, security signals, pipeline health, storage account usage, managed disks and availability zones where they are relevant to the overall design.

Still have questions? Contact Us