Cube Consulting Partner That Gets
Your Data Stack Working
as One
Dataplatr helps businesses implement Cube so every team, tool, and AI model works from the same trusted data definitions. One semantic layer. Consistent answers everywhere.
What We Do as Your Cube Partner
We handle the full implementation from design to deployment so your team spends less time managing data infrastructure and more time using it.
Strategy and Assessment
- Data maturity and readiness review
- Cube fit assessment for your current stack
- Semantic layer adoption roadmap
- Architecture planning and scope definition
Semantic Layer Design
- Cube schema design and data model setup
- Centralised metric and KPI definitions
- Multi-source data unification
- Governance rules and access control setup
BI Tool Integration
- Connect Power BI, Tableau, Metabase, and more
- Consistent metrics across all your BI tools
- Replace duplicated logic with one shared model
- Query performance tuning with Cube caching
Embedded Analytics
- Customer-facing dashboards inside your product
- Multi-tenant setup with row-level security
- Embedded workbooks and analytics chat
- White-labelled to match your product branding
AI and Agentic Analytics
- Connect Cube to LLMs for reliable AI answers
- Analytics Chat setup for internal business teams
- AI agent integration via Cube MCP support
- Auditable AI output tied back to governed data
Managed Services and Support
- Ongoing monitoring of your Cube environment
- Query optimisation and performance tuning
- Model updates as your business changes
- 24/7 issue resolution and troubleshooting
Cube Solutions Built Around How You Work
We design every Cube implementation around your specific business, not a one-size-fits-all template. Here is where we have delivered the most impact.
Financial Reporting and Planning
Consistent P&L, budget vs actuals, and headcount data with metric definitions every finance tool reads the same way.
Product and Customer Analytics
Usage metrics, churn signals, and customer health scores defined once and used across internal dashboards and customer-facing analytics.
Contact Center Performance
Agent productivity, SLA compliance, first-call resolution, and customer sentiment reporting built on a single shared data model.
Pipeline and Revenue Analytics
Sales forecasting, deal-level reporting, and GTM dashboards where revenue means the same thing in every tool your sales team uses.
Supply Chain and Demand Planning
Inventory tracking, delivery performance, and demand forecasting with consistent data flowing to every operations tool and report.
Campaign and Growth Analytics
Attribution, campaign performance, and customer behaviour analysis where marketing and finance are finally looking at the same numbers.
Start with a Cube Pilot
Not ready to commit to a full implementation? Our pilot program gives you a working Cube setup on a real use case so you can see the value before you scale. Our team works alongside yours from day one.
- 2 to 4 week scoped engagement
- Built around a real business use case
- Clear outcomes before you scale
- No long-term commitment required
Why Work with Us on Your
Cube Implementation
Structured delivery, faster results
We use proven delivery frameworks built from real Cube implementations so your project moves quickly without the usual back-and-forth that slows things down.
Certified experts across the full stack
Our team is certified in Cube and experienced across the tools it connects to, including Power BI, Tableau, Snowflake, BigQuery, and more.
Engagement models that fit your situation
From a two-week pilot to a full rollout or ongoing support, we adapt to where you are, what you need, and what your budget allows.
We build for your team, not just for us
Every engagement includes knowledge transfer through documentation, workshops, and mentoring so your team can own and extend the Cube setup long after we are done.
See What Your Data Can Do When It All Means the Same Thing
Talk to our certified Cube consultants and get a clear plan for unifying your metrics, connecting your tools, and giving your teams data they can actually rely on.