Portfolio

Decisions that hold up when someone challenges them

A model the commercial team never uses. Two dashboards reporting different numbers, with nobody sure which one is right. A personal data inventory legal has been waiting on for months. All three are the same problem: data with no owner, no quality and no trace. We are a data firm with governance as the foundation, and the other three lines rest on it: customer analytics, privacy and governed AI.

What gets built on top

Customer & digital analytics
Privacy
Governed AI

The foundation

Data governance

owners · quality · lineage · policies

Fig. 01 — How the portfolio stacks

The four lines

Line 01 · The foundation

Data governance

We design and implement the program with DAMA-DMBOK and DCAM frameworks: culture, organization, roles, processes, training and a visibility layer tailored to your cloud. Tool-agnostic.

Deliverables

  • Maturity assessment with a roadmap
  • Governance model: roles, policies, and a committee that settles which number is official when two dashboards disagree
  • A catalog with owners, lineage and quality rules actually running
  • Training for the teams that produce and use the data
Data quality dashboard showing a failing rule in red and its open incident
A quality rule failing on a governed catalog. Governance that never catches anything is not governing.

Line 02 · On the foundation

Customer & digital analytics

Analytics that ends in an action with an owner, not a dashboard nobody opens. We work on governed data, so every result traces back to its source and holds up when challenged. We work these cases in telecom, media and fintech.

You come in with a case, not with the program: we bring the governance that case needs —owners, quality and lineage for the tables involved— and leave it installed.

Deliverables

  • Actionable segmentation: each segment with its behavior, risk, eligible offer and action
  • Churn prediction with a temporal split, no leakage, prioritized by value
  • Next-best-offer with eligibility and consent resolved
  • ARPU and customer value decomposition by cohort
  • Campaign incrementality measurement
  • Statistical profiling and digital ecosystem analytics
Each governance gate removes customers from the contact list, and each removed group went on to churn at a different rate

Drag the chart → the churn rates are on the right

Every governance gate correlates with the outcome — and not in the same direction. The cool-off window removes customers who churn at 24.4% against a base of 11.8%, because the previous campaign contacted them precisely for being high risk.See the code and run it on GitHub(opens in a new tab)

Line 03 · A consequence of governance

Privacy and compliance

We deliver the data apparatus that makes compliance demonstrable: personal data inventory, classification, consent, retention and auditable traceability. We do not give legal advice.

Deliverables

  • Personal data map by system
  • Automated classification, reviewed by hand
  • Access matrix and retention policy
  • Auditable evidence of processing
Personal data classification applied to the columns of a catalog table
Personal data classification on the same catalog, including a credential stored in plain text.

Line 04 · The differentiator

Governed AI

AI that runs on governed data and stops when it shouldn't proceed: rules that constrain, statistics that detect, AI that explains and a person who decides. Also agents that operate governance itself —cataloging, classifying, applying policy—: they accelerate the program, they don't replace it.

Deliverables

  • AI-readiness assessment of the data
  • Conversational agent over governed data
  • Decision pipeline with human approval and a full audit trail

Product views are OpenMetadata over sample data.

Two ways to start

If you already know what your problem is, write to us directly. If you don't know where to start, the self-assessment places you.

Tell us about your case

You tell us the problem. We tell you whether it's ours, how we'd approach it and what we'd need from your side. No questionnaire first.

Write to GalacticaIA

Data maturity self-assessment

Questions about the state of your data. At the end you get your maturity level and what to move first.

Take the self-assessment