The data underneath is not ready
Every project stalls on the same thing: the data is in several systems, nobody owns it, and none of it agrees.
What is actually going on
Analytics and AI both sit on a layer that was never built deliberately. Systems were bought by different departments at different times and none were designed to agree. Consolidation is rarely the answer on its own. Integration plus a modelled layer is, because the systems can stay where they are if one trustworthy view sits above them.
Who usually owns this
CIO, Head of data, CRO
How people describe it
- "combine data from multiple business systems"
- "single source of truth for business reporting"
- "detect broken data pipelines before reports update"
What resolves it
- Data Foundation. Fix your data layer before your dashboards or AI models. We build semantic models, certified metric definitions, and data quality frameworks.
- Data Analytics Consulting. Senior-led data analytics consulting: metric certification, semantic modeling, and BI builds in Tableau and Power BI. One trusted number for every team.
- Data Engineering Consulting. Data engineering consultants who build ingestion, modeling, and orchestration that reconciles to source, alerts on failure, and is handed over with runbooks.
- Microsoft Fabric Consulting Services. Microsoft Fabric consulting: F-sku capacity sizing, OneLake architecture, Synapse to Fabric migration, Power BI Copilot enablement, governance-first rollout.
- Snowflake Consulting. Expert Snowflake consulting for semantic layer design, warehouse cost optimization, and BI migration. Senior-led engagements with defined milestones.
- Real-Time Data Observability. Autonomous monitoring for your data pipelines and tables: freshness, volume, schema, and distribution checks that catch issues before they reach a report or AI model.
- Data 360 Consultant. Data 360 consulting for unified customer profile architecture. Salesforce Data Cloud, Adobe RT CDP, Tealium, warehouse native CDPs, and governance.
- Self-Serve Data Portals Consulting. We design governed self-serve data portals so non-technical users get trustworthy answers without filing a ticket. Built on certified metrics and access controls.
- Data Stack Consolidation Consulting. Data stack consolidation that pays for itself. We audit your analytics tools, retire the redundant ones, cut monthly licensing spend, and prevent future sprawl.
- SAP Data Readiness & Migration. SAP data readiness and migration for ECC to S/4HANA. We assess, blueprint, clean, and migrate your data with reconciliation you can prove. Built for the mid-market.
Proof
Getting it approved
Other problems
What is actually going on
Who usually owns this
How people describe it
What resolves it
Getting it approved
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