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.
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