Data Valorization & Category Management
Unlock hidden business value in your data through structured data valorization and category management strategies.
As businesses accumulate vast amounts of data, the challenge lies in transforming it into actionable insights that generate tangible business outcomes.
Artefact’s Data Valorization and Category Management services help enterprises identify, manage, and extract value from their data assets.
By combining best-in-class data management practices with advanced analytics, we enable organizations to unlock new revenue streams, improve operational efficiencies, and make more informed strategic decisions.
Transforming data into business value
At Artefact, we take a systematic approach to data valorization, identifying opportunities to maximize the impact of your data across different categories and functions.
Our expertise in data category management ensures that data is categorized, governed, and utilized effectively, providing the foundation for informed decision-making and innovation.
- Data Inventory & Audits: We conduct a comprehensive audit of your existing data assets to identify opportunities for value creation.
- Data Categorization & Management: We implement frameworks for organizing and managing data by category, ensuring data integrity, accessibility, and compliance.
- Monetization Opportunities: We identify and develop data monetization strategies by leveraging insights to open new revenue streams and partnerships.
- Data-Driven Decision Making: We empower teams to make data-backed decisions through effective visualization and reporting tools.
- Advanced Analytics & AI Integration: We leverage AI and machine learning to extract deeper insights, improve forecasting, and drive innovation from categorized data sets.
Data monetization opportunities for retailers: Retail Media within the CPG/Retailer data ecosystem
Data monetization: retailers are monetizing existing consumer data across CPG brands to support their customer centricity. 1P data shared by retailers originates from their loyalty program. The cardholder data they share can be socio-demographic (e.g. the age of their consumers), transactional (e.g. what did they buy), behavioral (e.g. what did they look at), loyalty data (e.g. did they buy again), etc. This data is shared “as-a-service” in a data clean room where brands can access the retailer’s data in a secure environment to carry out specific use cases defined by the two partners.
Carrefour, for example, has created a consumer intelligence service called Carrefour Links, based on the LiveRamp clean room, where partners can access their cardholder data. This is a self-service platform that allows users to perform basic activities such as reconciling retailer and brand databases on individual customers to build a more complete view of the consumer and thus improve their experience. It also provides analytics and measurement capabilities that Carrefour can bill to its partners.
Our expert content about Data Marketing
Smarter decisions, stronger ROI: Marketing Measurement in Pharmaceutical
In today’s data driven marketing landscape, Customer Data Platforms (CDPs) have become an essential component of a successful strategy. A CDP is a centralised system...
Grounding AI Agents: Why Clean Data Is Non-Negotiable
In this article, we explore why marketers – despite having more data than ever – struggle to turn it into actionable insights, and how AI...
How AI is changing search and what it means for customers, marketers and brands
AI is transforming search, shifting it from ranking and retrieval towards reasoning and synthesis. This whitepaper charts this evolution, explains the mechanics of large language...
A C-Suite Guide to Marketing Measurement in 2025
In 2025, marketing measurement has become a top priority for the C-suite. While generative AI is transforming campaign execution, measurement is what proves value and...
The Execution Problem: Why Even Flawless Pricing Strategies Fail Between the C-Suite and the Shelf
Margin leakage often hides in complex pricing, promotions, and multi-channel strategies, where list prices rarely match the final pocket price. Promotions can cannibalize sales, and...
Unlocking Commercial Efficiency: The Transformative Power of AI Agents
AI Agents are revolutionizing commercial operations by automating tasks, enhancing customer relationships, and providing actionable insights. From boosting salesforce efficiency to optimizing pricing strategies, these...
Artefact publishes its research on AI applied to the identification of atypical customer profiles, developed and tested with a leading French Bank
Artefact, in partnership with Societe Generale and Sorbonne University, presents a new AI approach to identify atypical customer profiles. Tested on real banking data, this...
CDP Beyond POC Stage: Why Use Cases Alone Keep You Trapped
Customer Data Platforms (CDPs) promise a truly unified view of your customers, opening doors to hyper-personalization and driving significant ROI. Yet, if you're like many...
Is META trying to make agencies redundant?
Meta's recent announcement to fully automate ad creation using AI by the end of 2025 marks a significant shift in digital advertising. While this move...
SEO for LLMs: How to rank in Large Language Models
In this article, we explore strategies to optimize your website and brand for LLM visibility and improve your chances of being mentioned in AI-generated answers
Shopping in the age of chatbots and Generative Engine Optimization (GEO) - where do we stand today?
This article explores how shopping behavior is rapidly evolving through the rise of Generative Engine Optimization (GEO) and AI-powered search experiences. With platforms like ChatGPT...
Google Marketing Live 2025: AI, Multimodal Search, and Agentic Experiences in Google, YouTube and its Advertising Solutions
Stepping out of Google Marketing Live 2025, one thing is crystal clear: the future we’ve been discussing in abstract terms has arrived. Google is no...
