Business Intelligence
Business Intelligence Consulting Services
Create BI systems where teams share KPI definitions, trust dashboards, understand data lineage, and use governed reporting instead of rebuilding conflicting spreadsheet versions.
01 Define
Define decisions, KPI ownership, semantic-model needs, data-quality gaps, and dashboard audiences.
from the briefpart of the dashboard
02 Design
Design dashboards, governed datasets, metric definitions, permissions, and documentation together.
03 Launch
Launch BI with validation checks, adoption support, and a clear improvement backlog.
Scope
BI from metrics to adoption
The best BI pages emphasize certified KPIs, semantic layers, metric governance, data quality, and dashboard adoption.
KPI frameworks
Define metrics, owners, source logic, caveats, and reporting cadence.
What You Get
What your BI engagement includes
BI quality comes from metric alignment, governed datasets, dashboard design, and adoption support together.
kpi_dictionary.md
KPI dictionary
Metric names, formulas, owners, source systems, caveats, and reporting cadence documented.
Revenue Finance · invoiced, net Pipeline Sales · open, weighted NPS CX · last 90 days
data_model.png
Data model plan
Semantic layers, marts, transformations, grain, filters, and access patterns designed for repeat use.
facts revenue · orders · tickets dims customer · product · date grain one row per invoice line
dashboards/
Dashboard system
Role-specific dashboards for leadership, departments, and operators with clear navigation.
governance.md
Governance routine
Validation checks, change control, documentation, and team ownership for trusted reporting.
New KPIKPI ownerapproveReportBI leadcertifyQuarterlyAll ownersreview
Process
Build BI around decisions
We align stakeholders on meaning before creating visuals.
Step 01 of 05
Stakeholder mapping
Understand teams, decisions, reports, sources, and pain points.
Step 02 of 05
Metric design
Define KPIs, source rules, grain, filters, and business logic.
Step 03 of 05
Data architecture
Plan models, transformations, warehouse needs, and BI tool structure.
Step 04 of 05
Dashboard delivery
Build reports, validate numbers, document definitions, and configure access.
Step 05 of 05
Adoption
Train teams, gather feedback, and establish reporting ownership.
Best Fit
For teams that need shared truth
See company performance with consistent definitions.
One KPI dictionary. 3 of 7 columns matter to Executives; nobody rebuilds it in a spreadsheet.
| KPI | Owner | Definition | Source | This qtr | Target | Status | Refresh |
|---|---|---|---|---|---|---|---|
| Revenue | Finance | Invoiced, net | ERP | ₹4.62 Cr | ₹4.5 Cr | Certified | Daily |
| Pipeline | Sales | Open, weighted | CRM | ₹9.1 Cr | ₹10 Cr | Certified | Hourly |
| Gross margin | Finance | (Rev − COGS) / Rev | ERP | 41% | 40% | In review | Daily |
| Churn | CX | Lost / start | Billing | 3.2% | 2.5% | Draft | Weekly |
Illustrative rows
Proof
Why partner with Multivariate
We combine BI, analytics, and engineering practices to make reporting more reliable and easier to operate. Each engagement is shaped around practical buying criteria: integrations, governance, quality checks, handoff, and measurable operating outcomes.
Exhibit A
We prioritize metric clarity over chart volume.
Exhibit B
We document assumptions and ownership.
Exhibit C
We design dashboards for repeated use.
FAQ
Business intelligence FAQs
Multivariate analytics team
Replies within 24 hours
Which BI tools do you support?
Can you help define KPIs?
Can you improve existing dashboards?
Suggested questions
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