DATAVISION ANALYTICS
ES · FR · ENFree assessment

From fragmented data to strategic decisions.

We combine data engineering, applied AI and strategy to build your automated, high-ROI Single Source of Truth (SSOT).

Book 30 minutes with an expert →See demo projects →
EN · ES · FRTrilingualAgile · ScrumShort sprintsDAMA-DMBOKData governancePrivacyBy design

We don’t sell code or tools: we solve real management problems. We turn the chaos in your data into time won back for your leadership team.

DataVision Analytics · From Data to Decision.
Our value proposition

Four pillars so that data stops being a technical burden.

Business and ROI focus

We don’t sell code or tools: we solve real management problems with financial dashboards, sales control, HR, logistics and cost optimisation.

Green Data and ESG commitment

Architectures optimised to reduce your digital footprint, with ESG indicators tracked directly in your executive dashboards.

Packages and pricing

Clear prices, short timelines.

Option A

Executive Power BI dashboard

€3,500Timeline: 7 days
  • Star schema data model
  • Up to 3 custom pages, light and dark mode
  • Custom KPIs and optimised DAX
  • .pbip source files and a hand-over video
  • One round of revisions included
More on Power BI →
Option B

Predictive modelling and data science

€6,500Timeline: 7 to 10 days
  • Data audit, cleaning and preparation
  • Custom models: ARIMA, LSTM, K-Means, anomaly detection
  • Results built into a ready-to-use deliverable
  • One-hour training session
More on Data science and ML →
Option C

Sales Ops / CRM audit

€2,500Timeline: 5 to 7 days
  • CRM clean-up and enrichment (HubSpot, Salesforce)
  • Pipeline, conversion and prospecting analysis
  • Action plan and reporting automation
More on Sales dashboard →
Not sure which one fits? We’ll tell you on the free assessment call.Book 30 min →
7-day cycle

A transparent process, from first call to delivery.

  1. Day 0Alignment30 minutes to confirm goals, KPIs and data sources. You leave with a clear brief.
  2. Day 1Mock-upsPrototypes of the main screens in light and dark mode.
  3. Days 2 to 4BuildData model, DAX measures or Python/R scripts, and visual integration.
  4. Day 5DeliveryWalk-through of the deliverable, source files handed over and a round of changes.
  5. Days 6 and 7CloseFinal tweaks and knowledge transfer.
Demo projects

Demonstration projects with open-source code.

Academic and portfolio projects, published on GitHub as proof of hands-on skills

Deep Learning · LSTM

Electric vehicle market in Spain

MAPE < 8 %

Anomaly detection and 2025-2028 forecast.

View project
Power BI

Executive banking risk dashboard

Applied Big Data

Credit, fraud and market risk (99 % VaR).

View project
R · K-Means

Zara product segmentation

252 products

3 clusters with pricing and inventory recommendations.

View project
Master’s thesis · Data Lakehouse

Digital transformation in construction

Est. ROI 779 %

Team project, cloud architecture and an Agile approach.

View project
Next up?Yours could be the next one.Book 30 min →
About us

Advanced analytics and AI, with a practical, agile and ethical approach.

DataVision Analytics was set up to bring advanced data analytics and artificial intelligence within reach of businesses. We combine the rigour of data science and strategic thinking with 20 years of B2B business experience, turning complex data into a clear, automated and actionable Single Source of Truth (SSOT).

20years of strategic experience in B2B business, marketing and data analytics
2executive master’s degrees: BI & Analytics and Marketing Management
3consulting languages (English, Spanish and French)
100%results-driven approach using Agile (Scrum) and Green Data principles
Agile

Short sprints and working prototypes from the first week.

Ethical

Transparent, unbiased AI with privacy by design.

Measurable

KPIs and return defined from the first meeting.

Free assessment30 minutes to see what your data can tell youBy video call, no strings attached: we review your situation and tell you where to start.
How we work