Product Data Quality and Business Data Quality Solution

 

When dealing with systems that transfer and alter large amounts of data, it becomes resource demanding and daunting to synchronize and perfect the data relating to the products or the finances the company is dealing with. The need to produce data with high quality and low levels of redundancy has become even greater due to the increased business efficiency. Furthermore the prospects of the increased profit margins, together with the ever growing competitiveness in the majority of the related fields, make product data quality a need which cannot be ignored any longer.

When estimating possible product data quality and business data quality solutions, the manual option is the first that comes to mind. However, this is a perfect opportunity to learn from other companies' mistakes which have shown time after time that manual product and business data quality solutions are not sufficient to deal with large amounts of complicated data structures. Even automated product data quality tools would not suffice since, in order to run them properly, one needs to allocate resources and manpower needed to created the rules and dictionaries that will enable the data quality and business quality software to do the automatic part of the work – de-duplication, reclassification and re-standardization of the data. The problem here is even logical - one cannot predict every possible clash between the different identification fields of the data, so ne set of manually pre-defined rules cannot be enough for all the possible problems that can arise from the situation. Additionally, every tweaking and adapting of the rules and the dictionaries needed for enterprise product data quality management would require endless amount of programmers hours - a costly commodity in these times.

One of the existing solutions for the above problems is Zoomix Accelerator™. It is highly performing and, more importantly, completely scalable product data quality server that will solve any kind of inconsistencies, while your business processes are going on. Any conflict between different data entities that may arise in the course of your business process, finds an immediate resolution without demanding any offline or manual corrections. Another advantage that Zoomix's product data quality solution offers is that it is applicable to a database immediately - without needing to correct or clean the data prior to it becoming available for your downstream business applications. The unprocessed data does not need to be prepared for business data quality processes that the Accelerator performs on it.

Zoomix Accelerator applies advanced linguistic and semantic abilities to data classification, data matching and standardization. It is extremely fast and highly automated. Furthermore it's patent pending self-learning technology enables it to perform self correction, thus minimizing both the time and the costs needed by otherwise manual settings and changing demanded by other business and product data quality solutions.

Zoomix Accelerator proves its mettle every day in business arenas considered to be hardest to implement product data quality processes on - complex corporate personnel data and financial data of large corporations, where there is a need for product data classification can be highly variable and hard to manipulate. Its technology is very easy to integrate into existing workflows, thus reducing the "time to benefit" to absolute minimum. Its self learning technology allows the business to minimize the ongoing costs by taking the need for manual rule development out of the equation, thus dramatically reducing the requirement of the "dirty work" by human operators which is so often required for complex data manipulation in large enterprises. Additional advantage of Zoomix Accelerator is the ability to classify challenging product records into one or more taxonomies, including both standard taxonomies (such as UNSPSC classification, eCl@ss classification, ETIM classification and GS1 classification) and custom hieratchies used internally by companies.

The Accelerator helps enterprises implement product information management systems when creating and maintaining a complete view of the product. The product data mgmt needs to be performed across a number of product data spread over several systems and applications. The biggest chalenge is to maintain

Enterprises implement Product Information Management (PIM) systems in order to create and maintain an accurate, timely and complete view of the product – across multiple sources of product data in multiple applications, systems and databases – and to publish it in a variety of formats and media. Usually, the challenge to maintain this "single version of the truth" is very great because these product "information silos" are located in multiple offices, channels, and enterprises. Within and between systems, there are multiple naming conventions and classifications, along with redundancies, inconsistencies, errors, and omissions.