Author : Sandeep Rangineni
Publisher : Xoffencerpublication
ISBN 13 : 8119534654
Total Pages : 252 pages
Book Rating : 4.1/5 (195 download)
Book Synopsis MASTERING DATA QUALITY MANAGEMENT by : Sandeep Rangineni
Download or read book MASTERING DATA QUALITY MANAGEMENT written by Sandeep Rangineni and published by Xoffencerpublication. This book was released on 2023-12-20 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lacking coherence and ambiguity Product information drives up the cost of compliance, slows down the time it takes to bring a product to market, creates inefficiencies in the supply chain, and results in market penetration that is lower than anticipated. Lacking coherence and ambiguity in addition to obscuring revenue recognition, posing dangers, causing sales inefficiencies, leading to ill-advised marketing campaigns, and causing consumers to lose loyalty, consumer information. Due to the fact that the data from suppliers is inconsistent and fragmented, there is a greater likelihood of exceptions from suppliers, there is less efficiency in the supply chain, and there is a negative impact on the attempts to manage spending. "Product," "Customer," and "Supplier" are only few of the significant business entities that are included in Master Data. There are many more important business entities as well. Master data is the queen when it comes to the analytical and transactional operations that are necessary for the operation of a business. The purpose of Master Data Management (MDM), which is a collection of applications and technology that consolidates, cleans, and augments this data, is to achieve the aim of synchronizing this corporate master data with all of the applications, business processes, and analytical tools. As a direct result of this, operational efficiency, effective reporting, and decision-making that is founded on facts are all significantly improved. Over the course of the last several decades, the landscapes of information technology have seen the proliferation of a multitude of new systems, applications, and technologies. A significant number of data problems have surfaced as a consequence of this disconnected environment.