Zoomix Accelerator is the only automated, in-line data correction and assurance system:
Product Data Quality and Business Data Quality Management
Product Data Quality Management Software, with Master Data Management (MDM) software, is the most likely solution to the busniess data quality management problems prevalent in almost all enterprise systems. Zoomix's patent-pending product data quality technology provides a platform for the enterprise to create, maintain, and manage a product and business data quality set - spanning all databases and applications. Zoomix's automated product data quality software solution delivers master data that is unified and standardized, and free of errors, redundancies, inconsistencies, and mis-classifications.
The technology to accomplish this can be categorized into six functional areas, all of which are available in off-line (batch) and on-line (real-time / in-line / transactional) modes: data cleansing, master data matching, data normalization, data enrichment, data classification, and data protection. In the process of applying Zoomix's master data quality system to automated product data quality, no intrusive alterations to existing business processes are required. Zoomix's enterprise product data quality software products are ideal for product-centric organizations such as manufacturers, wholesalers, distributors, and retailers.
Zoomix Accelerator self-learning product data quality software performs automated data matching, identification and cross-linking (de-duplication) of duplicate/redundant records. Zoomix's business data quality solution is based on a supervised self-learning data matching approach. The system learns from choices made by the user in order to continuously improve its ability to accurately identify data matches. Very quickly, the data matching system becomes much more accurate, and operates according to the specific needs of each particular organization. Zoomix will rapidly reach the point where its product data quality management tools are accurate enough to function without the need for human intervention.
Master Data Management (MDM) Software
Master data consists of the core business data shared across systems in large enterprises, including product, part, customer, and supplier data. In the majority of enterprises, master data tends to be extremely problematic. Achieving and maintaining high-quality master data management delivers numerous operational benefits to the enterprise, including higher customer satisfaction, more effective marketing campaigns, faster new product introductions, less expensive procurement, more efficient inventory master data management, and more accurate financial reporting and business analysis.
Providing Master Data Management (MDM) software tools and solutions focuses on the reference data management or master data management. Such data management is usually shared between several separated IT groups. Master Data Management (MDM) software solutions are needed in order to enable reliable and consistent data communication between IT systems with assorted business functions and with different system architectures. Large companies often have IT systems that are used by diverse business functions (e.g., finance, sales, R&D, etc.) and span multiple countries. These diverse systems usually need to share key data that is relevant to the parent company (e.g., products, customers, and suppliers). It is critical for the company to consistently use these shared data elements through various IT systems.
Self-Learning Technology introduces an entirely different approach to rapidly and accurately classify even the most complex and variable business data. In fact, the "machine learning" approach is the only approach available that delivers the accuracy, speed, and flexibility required for successful classification of real-world business data.
Product Data Classification approaches to classification rely on extensive "dictionaries" and "rule bases" (or taxonimes, such as eClass classification) which attempt to identify the relationships between data entities and the categories in a particular automatic product data classification schema. However, creating and maintaining these dictionaries to the degree required for effective classification is a time-consuming, expensive, inflexible and almost impossible task. Zoomix Accelerator can classify challenging product records into one or more taxonomies, including both standard taxonomies (such as UNSPSC classification, eCl@ss classification, ETIM classification and GS1classification) and custom hieratchies used internally by companies.
Zoomix Accelerator offers enterprises a fast and highly-automated track to achieving product information management data excellence and its resulting business benefits. The product information mgmt solution combines advanced semantic and linguistic analysis with machine learning to automatically and accurately classify, match and standardize complex and highly-variable product data. While product information management software solves many of the data integration and management issues, sharing information between systems in a reliable, useful way is still very problematic due to a host of issues. Even when using product information management systems, sales channel difficulties, operational failures, and unreliable reporting are typical. Patent-pending Self-Learning Technology allows the software to learn, understand, and correct any type of complex product data on the fly.
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