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Data sources management

Every type of organization can today rely on internal and external sources of data to create value through data-driven sales and marketing operations.

However identifying data sources, assessing data quality, cleaning data and consolidating data from different silos require a significant effort. The Comfiz platform business processes provide a clear framework to handle these operations.

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Master Data Management for AI

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The Comfiz platform makes it easier to extract data from a large number of sources with heterogeneous data formats, syntaxes and taxonomies and to consolidate them in data stores dedicated to AI-driven services deployment.

The objectives of these processes of extraction and consolidation is to create sets of data that are much more compacts than original sources and at the same time provide high-value information to data scientists thanks to the process of features extraction performed on these AI-optimized data sets.

Consolidating AI-optimized Master Data Sets is a powerful way to build accurate predictive models and to acquire a much higher degree of agility in the deployment and management of AI-driven services .

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Product Information Management

Product attributes, product categories, product price range, product scores (sales performance, speed of stock rotation ...), product purchasing patterns (discreet / continuous, regular / exceptional, alone / in bundle ...) are all potential predictors of predictive algorithms.

For projects with a large and complex sets of products, the Comfiz platform PIM module is a key asset to leverage the value of products data.

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Customer Information Management

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Artificial intelligence is the key driver of the development of a new generation of personalized services. Targeted emails, recommender systems, robo-advisors ... there is a long list of AI-driven services where customer data consolidation and customer behavior analysis are required to succeed.

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