Power BI

Decisions driven by data, not by gut feeling.

We build executive dashboards that connect your data sources and deliver the right KPIs, to the right people, at the right time.

Why your data still does not drive decisions

These scenarios have a solution — and the solution does not require expensive BI or multi-year projects.

Reports built manually in Excel every week — a process that eats up time and breaks whenever a formula changes.

"Each department has its own version of the numbers" — meetings that start with a debate over which figure is right.

Decisions made with yesterday's data, or last week's — the moment to act has already passed.

Managers who depend on IT to extract any report outside the standard.

Data lives in the ERP, CRM and spreadsheets — but no one can cross-reference it.

KPIs defined on paper that are never tracked because there is no accessible visualization.

How Power BI solves it in practice

We integrate your data sources — SQL Server, Excel, ERP, CRM, SharePoint, APIs — into a single semantic model in Power BI. We build reports published on Power BI Service with automatic refresh and secure role-based access.

We use Power Query for data transformation and cleansing, DAX for business calculations and Dataflows for reuse across reports. The result: a single source of truth accessible from the browser or the phone, with nothing to install.

A manager who opens the dashboard before the meeting leaves with answers, not questions. That is the starting point for a data culture.

Our implementation methodology

From scattered data to dashboards in production in just a few weeks.

  1. Step 01

    KPI discovery

    We identify which indicators truly support decisions — not just what is easy to show.

  2. Step 02

    Data inventory and connection

    We map the sources, document key columns and configure the connections in Power Query.

  3. Step 03

    Semantic modeling

    We build the star schema, define DAX measures and ensure consistency across reports.

  4. Step 04

    Development and validation

    Dashboards developed and validated with business users before publishing.

  5. Step 05

    Publishing and enablement

    Deployment to Power BI Service, automatic refresh setup and training for autonomy.

What your management gains

  • A single source of truth — no conflicting versions across departments
  • Automatic data refresh with no manual intervention
  • Access from the browser or the phone, with role-based security
  • More objective meetings — less debate, more decisions
  • Trends spotted before they become problems
  • Automatic alerts when KPIs cross the defined threshold
  • Integration with Power Apps for operational drill-down
  • Paginated reports for formal exports

Technologies used

  • Power BI Desktop e Power BI Service
  • Power Query (M Language)
  • DAX (Data Analysis Expressions)
  • Dataflows Gen2
  • Azure Analysis Services
  • SQL Server / Azure SQL
  • SAP, Oracle e APIs REST
  • Microsoft 365 / SharePoint

Result-driven cases

Projects inspired by real market implementations.

Retail / Store network

Unified dashboard for a network of 12 stores

Scenario

Each store emailed a sales spreadsheet. Consolidating them for the director took 3 days and arrived with transfer errors.

Solution

A Power BI dashboard connected to each store's POS, with hourly refresh, store ranking, mix analysis and stockout alerts.

-100% manual reports Data available in 15 min +25% decision speed
Finance / Credit

Risk and default dashboard

Scenario

The default report took 2 days to consolidate; risk analysis by segment was done manually every week.

Solution

A data model integrated with the credit system and Excel, with an aging panel, risk segmentation and historical portfolio evolution.

-45% meeting prep -2 days in the analysis cycle Risk visible in real time
Industry / Production

OEE and production indicators in real time

Scenario

Plant efficiency indicators were calculated at the end of the shift, in a spreadsheet, with no structured history for root-cause analysis.

Solution

Data collection per production line with an OEE dashboard, downtime by cause and trend analysis by shift and operator.

+12% OEE -40% analysis time Root cause in one click

What you become able to do

  • Data democratization Any manager accesses the dashboard without asking IT — with the right view for their decision level.
  • Automatic alerts A KPI outside the threshold triggers an email or Teams message with no human intervention.
  • Audit and traceability Data history available for retroactive analysis and regulatory auditing.
  • AI integration A modeled foundation ready for consumption by Copilot Analytics and predictive models on Azure ML.

Why Yottaflow

Focus on decisions, not charts

We start with the KPIs that support your meetings — not with what is technically possible to show.

Solid semantic modeling

Star schemas with correct DAX — not quick reports that choke on volume or produce wrong numbers.

A single source of truth

We eliminate inconsistency across departments with a single, shared and versioned data model.

Team enablement

We deliver with technical documentation and training so your team can build derived reports without depending on us.

Ready to turn data into decisions?

Book a free assessment. In 30 minutes we map your data sources and the highest-impact KPIs.

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