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Hybrid Data Stores and Master Data Management

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databy Angela Guess

Maxim Lhevukic recently wrote in Information Management, “When you build a data foundation for enterprise applications requiring information from internal, external, third-party, and social data sources, you need a data store that is flexible to handle all disparate data types with big data scalability. You also need the agility to update the data model quickly without any impact on the performance. In this article, I am going to discuss the idea of hybrid data stores designed to handle the most complex multi-domain master data management (MDM) challenges and at the same time effortlessly bringing together transactional, interaction, social and machine-generated data at scale. Inspired by consumer applications like LinkedIn (Economic Graph) and Facebook (Social Graph), hybrid data foundation helps create data-driven applications that are infinitely scalable, flexible, and extensible.”

He goes on, “An example of such data-driven application is Customer 360 for consolidating customer information by bringing together data from multiple sources like CRM, ERP, support, marketing automation, social, channel, and others. For a true Customer 360 view, you may also want to augment customer profile by adding data from third-party providers like data.com. Business users want access to accurate and complete customer data and analytical insights (customer value, churn propensity, and next-best-offer) to help increase revenue and improve customer experience. Customer-facing teams also want to uncover the relationships that customers have with various organizations, places, and products.”

Read more here.

Photo credit: Flickr/ KamiPhuc

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