AC Faber - Data Consultancy

What We Do

Harness the value in your data.

Data is essential for modern businesses to make informed decisions and stay competitive. By analyzing information from customers and operations, companies can identify businesss opportunities, optimize data processes, and predict future needs.

Organizations that effectively use data can respond faster to changes, reduce costs, and better serve their customers, giving them a significant advantage over competitors who rely on intuition alone.

Specialised in small businesses and start ups, we offer fractional work of 1-3 days a week. Our Data Consultancy is perfect for companies with smaller budgets who wants to access top expertise without full-time employees.

Our Disciplines

1. Data Engineering

ETL

Extract data from source.
Transform into a useful form.
Load into database or visualisations.

Data Pipelines

Combine multiple ETLs.
Sequential data processes.
Daily or weekly triggers.

Cloud Deployment

Host data pipelines on the cloud.
AWS or Google Cloud.
Production environment.

Automation

Scheduled pipeline runs.
Overnight productivity.

Monitoring

Overview of automated data pipeline.
Proactive fixes and updates.
360 view at all times.

APIs

Share your data with a web app.
Share your data with the world.
Easy access to specific data viewpoints.

2. Data Analysis

Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.

Insights - an accurate and deep understanding of your data.

Presentations - an accurate and deep understanding of your data.

Dashboards - an accurate and deep understanding of your data.

Views - an accurate and deep understanding of your data.

3. Data Science

Machine Learning

Supervised Learning - Regressions, Random Forests, SVMs, Neural Nets.
Unsupervised Learning - Clustering, Dimensionality Reduction.
Reinforcement Learning - Positive, Negative.

Predictive Analytics

Statistical Modeling - Use of models and statistical assumptions to generate sample data and make predictions.
Machine Learning - Learning patterns within data and use it to make predictions.

4. LLMs

Chatbot

An AI that responds to inquiries in human-like languages in text or voice format.

It leverages natural language processing (NLP) to process, understand, and generate responses to system users in a conversational manner.

Can be embedded into a webapp for integrated end-user experience.

Generative
AI

An AI that uses generative models to produce text, images, videos, or other forms of data.

Can be embedded into a webapp for integrated end user experience.

5. Data Consultancy

Advise - review and recommend how best to utilise your data.

Plan - create a roadmap of engineering, analytics and machine learning to unlock your data.

Preferred Tools

Data Consultancy

2025 AC Faber Ltd.

Contact | Charlotte Leysen