Turn business data into decisions people can explain.

A dashboard is useful when people understand what a number means, where it comes from, and what needs attention. ProwebX builds business intelligence experiences that connect data, shared metric definitions, and reporting workflows around the decisions your teams need to make.

REPORTING / DEFINITION MODEL
SERVICE FLOW
01 / 03Start with the decision
WHY IT MATTERS

Name the audience, the question they need to answer and the action the reporting should support.

Audience
Who uses the view
Question
What needs an answer
Action
What changes

Bring the right information
into the decision.

Reporting shaped around the questions people need to answer.

01

Leadership and performance reporting

Bring agreed measures into a clear view of business performance, with comparisons, context, and a route to the detail behind a change.

02

Operational visibility

Help teams understand workload, throughput, delays, and exceptions so they can identify what needs attention and who should take the next step.

03

Product and customer insights

Connect relevant product, service, and customer data to explore usage patterns and trends, with measures shaped around the questions your business needs to answer.

From source data
to a shared understanding.

Business intelligence development across integration, analytics models, dashboards, and reporting operations.

01

Reporting strategy and metric design

Start with the decisions, audiences, and questions. Define measures, calculation rules, dimensions, ownership, and reporting cadence before choosing what to put on a dashboard.

02

Data integration and preparation

Connect approved business sources and prepare data for reporting. Address inconsistent identifiers, missing records, duplicates, and the transformations needed for meaningful comparisons.

03

Analytics models and shared definitions

Design reporting models and reusable metric definitions so teams can work from a consistent basis. Document the assumptions, filters, and relationships that affect interpretation.

04

Dashboards and reporting experiences

Build focused dashboards with clear hierarchy, useful filters, comparisons, and detail views. Design the experience around how people review information and make decisions.

05

Embedded analytics and access

Bring reporting into existing applications or internal portals where it supports the workflow. Shape access to data, views, and exports around roles and organizational boundaries.

06

Reporting quality and operations

Validate measures against agreed reference data and make refresh status and quality issues visible. Plan monitoring, ownership, change control, and support for the reporting experience.

Define what matters.
Then make it visible.

A reporting experience starts with the decision, and stays useful through ownership and validation.

  1. 01

    Define the decision

    Agree the audience, questions, metrics, and actions the reporting should support.

  2. 02

    Establish the data

    Map sources, validate definitions, and resolve the gaps that affect interpretation.

  3. 03

    Build and validate

    Prototype views, test calculations, and review the experience with the people who will use it.

  4. 04

    Operate and improve

    Track data quality, refresh behavior, and user feedback as the reporting needs evolve.

A clearer view.
Better questions.

What to consider before building or improving your reporting platform.

Talk through your requirements
01

How does Business Intelligence differ from Data & Integrations?

Business Intelligence focuses on the decision layer: metric definitions, semantic reporting models, role-based dashboards, and embedded analytics. If your underlying systems cannot yet share clean, reconciled records, we start with Data & Integrations to establish the pipelines and data ownership first.

02

Can you work with our existing BI tools or migrate from spreadsheet reporting?

Yes. We evaluate your current reporting stack, data warehouse, and spreadsheet models before recommending changes. We can refactor slow or conflicting reports in your existing BI tool, migrate manual spreadsheet packs into automated models, or build embedded reporting inside your web application.

03

How do you keep metrics consistent across departments?

We define calculation rules, dimensions, filters, time windows, and a named business owner for each core metric in a shared semantic layer. Automated reconciliation checks compare dashboard totals against source systems of record so discrepancies surface before leadership reviews.

04

Do we need real-time dashboards, and how do refresh rates affect operating cost?

Refresh frequency should match the cadence of the decision. Warehouse compute and query costs rise sharply with continuous real-time polling; for many operational and leadership decisions, scheduled incremental refreshes or pre-aggregated views deliver fast dashboards at a fraction of the infrastructure cost.

05

Who owns the reporting models and how is access governed after handover?

You own the SQL/transformation models, metric definitions, dashboard configurations, and documentation. Access is enforced by role, tenant, or organizational boundary, and we hand over a clear governance guide so your team can add metrics and maintain reports independently.

A short review.
A clear next step.

We read the request, ask the questions that change the plan and suggest the smallest useful next step.

  • Planned US-overlap hours
  • Mutual NDA on request
  • Direct contact with the delivery team

Project details

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