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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.

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Delivery Snapshot

What this engagement makes clear

  1. 01Define decisions, KPI ownership, semantic-model needs, data-quality gaps, and dashboard audiences.
  2. 02Design dashboards, governed datasets, metric definitions, permissions, and documentation together.
  3. 03Launch BI with validation checks, adoption support, and a clear improvement backlog.

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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.

  • Dashboard systems

    Design executive, operational, marketing, sales, and finance dashboards.

  • Semantic layers

    Create reusable definitions and models that keep metrics consistent.

  • Data quality

    Identify missing fields, sync issues, duplicate records, and transformation problems.

  • Governance

    Set access, documentation, roles, naming, and review workflows.

  • Self-service enablement

    Governed datasets, documentation, and usage patterns that let teams answer more questions safely.

What You Get

What your BI engagement includes

BI quality comes from metric alignment, governed datasets, dashboard design, and adoption support together.

  • 01

    KPI dictionary

    Metric names, formulas, owners, source systems, caveats, and reporting cadence documented.

  • 02

    Data model plan

    Semantic layers, marts, transformations, grain, filters, and access patterns designed for repeat use.

  • 03

    Dashboard system

    Role-specific dashboards for leadership, departments, and operators with clear navigation.

  • 04

    Governance routine

    Validation checks, change control, documentation, and team ownership for trusted reporting.

Process

Build BI around decisions

We align stakeholders on meaning before creating visuals.

  1. 01

    Stakeholder mapping

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

  2. 02

    Metric design

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

  3. 03

    Data architecture

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

  4. 04

    Dashboard delivery

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

  5. 05

    Adoption

    Train teams, gather feedback, and establish reporting ownership.

Best Fit

For teams that need shared truth

  • 01

    Executives

    See company performance with consistent definitions.

  • 02

    Department leads

    Track their own performance without rebuilding reports every week.

  • 03

    Data teams

    Move recurring requests into governed, reusable reporting.

  • 04

    RevOps teams

    Unify marketing, sales, customer, and finance reporting around shared metric definitions.

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.

  • We prioritize metric clarity over chart volume.
  • We document assumptions and ownership.
  • We design dashboards for repeated use.

لماذا نحن

واصل التقدم.نحن ندعمك.

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FAQ

Business intelligence FAQs

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.

Can you help define KPIs?+

Yes. KPI definition, source logic, and documentation are core parts of the consulting process.

Can you improve existing dashboards?+

Yes. We can simplify dashboards, fix metric logic, improve performance, and make reporting easier to maintain.

Related services

Power BI consultingData warehouse consultingMetabase consulting

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