Analytics, DataOps & Automation
Power BI consulting and development
Good Power BI starts below the report: a clean model on trusted data. We design datasets and semantic models, build reports around the decisions they support, and replace manual spreadsheet reporting with something that refreshes itself.
Discuss your environment
Power BISQL Server
When teams bring us in
Signs you need Power BI & Data Analytics support
- Monthly reporting still depends on exports and spreadsheets
- Many Power BI datasets contain overlapping, inconsistent logic
- Reports are slow and refreshes fail
- Users don't trust the numbers enough to act on them
What's included
Our Power BI & Data Analytics work
- 01
Semantic model design
Star-schema datasets with shared measures, so every report uses the same definitions.
- 02
Report & dashboard development
Reports designed around specific decisions and audiences, not every available field.
- 03
Refresh & performance
Refresh schedules, incremental refresh and model optimisation for large datasets.
- 04
Manual reporting replacement
Automated, governed reports in place of recurring spreadsheet work.
FAQ
Power BI & Data Analytics — common questions
- Can you fix our existing Power BI reports?
- Yes. We review existing datasets and reports, consolidate duplicated logic and improve performance before building anything new.
- Do we need a data warehouse before Power BI?
- Not always, but for multiple sources or consistent history it usually pays off. We'll recommend the simplest structure that gives reliable numbers.
- Can you show which reports depend on which tables?
- Yes. Lineage from source tables through datasets to reports is exactly what Dataventra Impact is built for.
Related Dataventra solutions
Guides
- Guide · 7 min readHow to find everything that depends on a SQL Server table before you change itFind views, procedures, SSIS packages and Power BI datasets that depend on a SQL Server table — with sys.dm_sql_referencing_entities, recursive dependency queries and what they miss.
- Guide · 8 min readMonitoring SQL Agent job and SSIS package failures: a practical guideQuery msdb and SSISDB to find failed SQL Agent jobs and SSIS executions, slow runs, missing rows and stale data — and turn the queries into monitoring.
- Guide · 6 min readAutomatically creating Jira tickets for failed SQL Server Agent jobsDetect SQL Agent and SSIS failures, capture diagnostics and create Jira issues through the REST API — with deduplication, routing and secure credentials.
Talk to us about Power BI & Data Analytics.
Tell us what you're running and what's getting in the way. We'll suggest a sensible first step.