Bidatia

SERVICES

Data and analytics

A good dashboard answers a business question in seconds, and everyone reads it the same way. We define the indicators with decision-makers, build a solid semantic model and design reports anyone can understand.

Tell us about your projectHow we do it

Does any of this sound familiar?

  • Every department has its own figure

    Sales, finance and operations argue about the number instead of the decision.

  • Slow, fragile reports

    Models nobody understands, refreshes that fail and measures duplicated in every report.

  • Excel as the reporting system

    Hours every month copying and pasting to prepare the leadership report.

HOW WE HELP

What we help you solve with this service

Turning data into decisions

«We have data, but it's hard to turn it into useful information for the business.»

  1. We define the indicators with the people who decide, once.
  2. We integrate data from your systems into a single reliable model.
  3. Clear dashboards and self-service for every department.
Related servicesData platforms

Strategic reporting

«We need a complete view of the operation, not twenty separate reports.»

  1. We define a balanced scorecard with management: objectives, indicators and owners for each area.
  2. We bring data from across the operation into a single, governed and reliable model.
  3. Ready to be exploited with AI: natural-language questions, alerts and root-cause analysis.
Related servicesData platformsData governance

Reducing licences

«We pay for too many BI licences. Can we move our dashboards to a web application?»

  1. We analyse your current dashboards: data sources, metrics and features.
  2. We run a proof of concept with real data.
  3. We migrate the dashboards in waves, starting with the quick wins.
  4. We put governance in place and train the teams.
Related servicesData governanceAI-powered development

DATA AND ANALYTICS

What we do

  • KPIs with a single definition

    Indicator sheets agreed with the business: what it measures, how, with which threshold and who is accountable.

  • Semantic modelling

    Star schemas, reusable DAX measures, hierarchies and a single model for many reports.

  • Report design

    Decision-oriented visualisation, clear navigation and a mobile version.

  • Performance and security

    Model and refresh optimisation, aggregations, Direct Lake, and row- and object-level security.

  • Governed self-service

    Workspaces, model certification, Copilot in Power BI and role-based training.

  • Migration

    From Excel, Qlik, Tableau or legacy reports to Power BI and Fabric, without losing history.

How we do it

  1. Business questions

    Workshops with decision-makers: which decisions they take, with which indicators and how often.

  2. Model and KPIs

    Indicator sheets, semantic model and documented origin of every data point.

  3. Clickable prototype

    A first report on real data to validate design and figures with users.

  4. Rollout and adoption

    Publishing, security, refreshes, training and usage tracking.

Illustrative mock-up

What you get

  • KPI catalogue with definition sheets
  • Certified, documented semantic model
  • Leadership and operational dashboards
  • Row-level security and refresh plan
  • Style guide and self-service training

What it brings to each role

A single source of truth to decide on, traceable to source and with no arguments about the figure.

Technology

  • Power BI
  • Microsoft Fabric
  • DAX
  • Power Query
  • Direct Lake
  • Copilot in Power BI
  • Tabular Editor
  • Tableau
  • Qlik
  • Looker Studio

Related technologies

Related case studies

See all case studies

Multinational executive search and recruitment firm

Operations dashboard connected to the database

Challenge
The dashboard read from manually generated Excel files, with no history to compare KPIs and a model full of unused fields and relationships.
Solution
A gateway on AWS to connect Power BI directly to the database, a redesigned model, three years of history and global filters by sector, business unit and client.
Result
Up-to-date data without manual files, historical comparisons and consistent KPIs, and users trained to make the most of it.
Data and analytics

Diversified business holding

From SAP BusinessObjects to Power BI on Microsoft Fabric

Challenge
The group's dashboards lived in SAP BusinessObjects on top of SAP R/3: expensive to maintain, slow to evolve and hard to combine with the rest of the group's data.
Solution
Migration of the reporting layer to the Microsoft Fabric ecosystem: load notebooks in PySpark and new Power BI dashboards, with semantic models and row- and column-level security.
Result
Power BI dashboards on the group's lakehouse, a single version of the data and a report catalogue that is easier to maintain and extend.
Data and analytics

FAQ

Frequently asked questions

Straight answers to what we're asked most.

Power BI or Fabric?

Power BI is the reporting layer; Fabric adds the full data platform (lakehouse, integration, data science) on the same capacity. We help you decide based on volume, team and licences.

Can you improve reports we already have?

Yes. We review the model, measures, performance and design, and propose a phased improvement without stopping your current reporting.

How do you stop every department having its own figure?

With agreed indicator sheets and a certified semantic model used by every report. The definition is written once.

Do you train users?

Yes, by role: report consumers, self-service analysts and developers, with material tailored to your models.

Shall we talk about your project?

A first 30-minute conversation, no strings attached.

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