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Showing posts from September, 2019

Live - Magento India Meetup | Webkul Meetup Event 2019 - Part 2

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How AI and Automation Enriches Product Data to Improve Customer Experience

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How customers engage with brands and the way they shop is now a new ballgame altogether. Digital engagement with products is quickly replacing the traditional approaches; in fact, it has set new standards to keep up with customer expectations. According to the  Global Consumer Insights Survey 2019 by PWC , nearly a third of consumers buy products online weekly or more frequently, and this number has increased steadily by 5% points year on year. Marketing and selling products with trusted and persuasive product data has a significant impact on improving customer experience and growing revenue. Brands are investing more and more in enhancing quality, reliability, and accessibility of product data to stay one step ahead in the digital business arms race. Product Data Shapes Your Customer Experience Customers can initiate their product research anywhere and analyze the prices/offers before they ever interact with the brand. They expect more from their purchase and are more than

How to Use Open-source Platforms for Master Data Management

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Managing tremendous quantities of data requires a platform fit for the job. Data is often referred to as the new oil of the digital economy. The comparison may not be true in all respects, but it's quite useful when illustrating two essential points: data is valuable, but must first be collected and processed before it can be used. Many companies are currently confronted with these massive tasks on their way to digitization. And it's not just about big data; it's about how fast and in which quality basic information such as customer data, material data, and article data are available. That means master data maintenance or master data management (MDM). Characteristic of master data is that this information remains unchanged over a long period of time and is used as a valid version or "golden record" in several transactions made from multiple locations. In times of digitalization, master data in companies should meet two requirements. They should be