Data, New BI and Self Business Intelligence
Our data analytics and BI tools help enterprises work smarter and drive better results.
We help companies measure, automate repetitive tasks and launch advanced use cases.
In today’s fast-paced business environment, having access to real-time, actionable insights is critical for making informed decisions. Artefact’s consulting services in Data, New BI, and Self-Service Business Intelligence empower organizations to democratize data, enabling teams to generate insights without relying on IT.
We use data, technology and artificial intelligence to improve business decision-making and brands’ marketing measurement, automate repetitive tasks and launch advanced data-science use cases.
Marketing ROI measurement
Using the latest developments in Machine Learning and AI technologies, our marketing measurement tool goes further than all existing solutions.
Artefact MROI provides a single source of truth which accurately measures the incrementality of all marketing activities and other factors impacting business goals, for the first time.
Dashboarding & Automation
We use data, technology and AI to automate repetitive tasks and focus on business value. Our services include:
- Dashboarding.
- Transforming data into insights.
- Media plan building and forecasting.
- Tool API connection.
- Audience building.
- Optimisation recommendations.
- Adserver Trafficking.
- Data monitoring.
Bid optimisation
Using media buying tools, raw data and AI, we are experts in helping brands optimise their media bidding strategies.
Measurement & Attribution strategy
We help brands define and implement their marketing measurement strategies in order to answer key business questions with data. This includes (but is not limited to):
- Tracking online/offline sales attributing them to marketing activities.
- Analysing the contribution of each touchpoint with multi-touch attribution tools (e.g. Google, Facebook) and custom data-driven attribution.
- Marketing Mix Modelling.
- Defining campaign optimisation methodology through control groups.
Algorithmic segmentation (scoring, CLV, recos)
We use data and AI to algorithmically segment customers and prospects in order to:
- Find high-value segments.
- Build RFM segmentation and look-alike audiences.
- Recommend the next best product.
- Recommend the best creative/channels.
- Increase customer lifetime value.
Feed & Business Data integration
We leverage data feeds (related to product information and price, for example) and business data to make the most of media partner technology and algorithms. We work across Google Marketing Platform (GMP — including Google Ads), Facebook and Demand Side Platforms (DSPs).
Our expert content about Data & AI transformation.
The Era of Generative AI: What’s Changing
The abundance and diversity of responses to ChatGPT and other generative AIs, whether skeptical or enthusiastic, demonstrate the changes they're bringing about and the impact...
How GenAI is helping to grow China’s wildly popular Little Red Book social platform
Edouard de Mézerac, Artefact APAC CEO, reveals what’s behind the curtain on Little Red Book, aka Xiaohongshu, China’s social media channel. The app, simply called...
Fierté AI: The open-source GenAI assistant that protects against microaggressions and reduces bias
A series of controversies surrounding the outcomes of GenAI models has increased advocacy for ethical oversight and governance of AI. While explicit bias, violence, and...
Hanan Ouazan, Partner & Generative AI Lead at Artefact at the Adopt AI Summit – Generative AI Introduction
Hanan Ouazan has graduated from Ecole Normale Supérieur and Ecole Centrale de Lille in ML and AI. He joined Artefact almost 10 years ago and...
Vincent Luciani, CEO and cofounder of Artefact - Opening keynote at the Adopt AI Summit
On June 5th, Vincent Luciani, CEO of Artefact, delivered an insightful speech at the Adopt AI Summit organized by Artefact at Station F in Paris....
Generative AI: companies face the challenge of industrialization
PoCs in generative AI have proliferated, mainly in large companies. But few initiatives have been industrialized due to their complexity. Hanan Ouazan, Partner and Generative...
