What is Microsoft Fabric and should we use it?
Microsoft Fabric is Microsoft's unified analytics platform — combining data engineering, data warehousing, real-time analytics, and Power BI into one SaaS solution. For most enterprises it is now the recommended path, simplifying your analytics estate and reducing licensing complexity.
We already have Power BI — can you help us use it better?
Absolutely. Many organisations have Power BI but haven't unlocked its full potential. We conduct Power BI health checks covering data model performance, security (RLS), governance, licensing, and semantic layer design — then rebuild or enhance what's needed.
How do you handle data from non-Microsoft systems like Salesforce or SAP?
Microsoft Fabric, Databricks, and Azure Synapse all support a wide range of native and custom connectors including Salesforce, SAP, Oracle, Snowflake, Google BigQuery and more. We build integration pipelines that bring all your data together regardless of source.
What is a data lakehouse and do we need one?
A lakehouse combines the flexibility of a data lake (store any data format cheaply) with the structure of a data warehouse (fast analytics queries). For enterprises with diverse data types and volumes, it's typically the most cost-effective and scalable architecture.
How do you ensure data quality and accuracy in dashboards?
We take data quality and data validation seriously. We work with clients to validate data at source, and our data pipelines include additional auditing, failover monitoring, and alerting to ensure data keeps flowing accurately. We work with your team to define what "good data" looks like for your business and build checks around that.
Can business users build their own reports after the project?
Yes — user enablement is a core part of every engagement. We train power users on Power BI Desktop, certified data sets, and report building. We also implement workspace governance so self-service doesn't become a data governance nightmare.
