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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.

Discuss BISee how we work

  1. 01 Define

    Define decisions, KPI ownership, semantic-model needs, data-quality gaps, and dashboard audiences.

    part of the dashboard

  2. 02 Design

    Design dashboards, governed datasets, metric definitions, permissions, and documentation together.

  3. 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.

  1. 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 ownerapprove
    ReportBI leadcertify
    QuarterlyAll ownersreview

Process

Build BI around decisions

We align stakeholders on meaning before creating visuals.

  1. Step 01 of 05

    Stakeholder mapping

    Understand teams, decisions, reports, sources, and pain points.

  2. Step 02 of 05

    Metric design

    Define KPIs, source rules, grain, filters, and business logic.

  3. Step 03 of 05

    Data architecture

    Plan models, transformations, warehouse needs, and BI tool structure.

  4. Step 04 of 05

    Dashboard delivery

    Build reports, validate numbers, document definitions, and configure access.

  5. 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.

KPIOwnerDefinitionSourceThis qtrTargetStatusRefresh
RevenueFinanceInvoiced, netERP₹4.62 Cr₹4.5 CrCertifiedDaily
PipelineSalesOpen, weightedCRM₹9.1 Cr₹10 CrCertifiedHourly
Gross marginFinance(Rev − COGS) / RevERP41%40%In reviewDaily
ChurnCXLost / startBilling3.2%2.5%DraftWeekly

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.

  1. Exhibit A

    We prioritize metric clarity over chart volume.

  2. Exhibit B

    We document assumptions and ownership.

  3. 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?

We can work with tools such as Power BI, Looker Studio, Metabase, and other BI platforms depending on your stack.

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