Azure Webinar: Unlock Powerful Retail Insights With a Common Data Platform

Unlock Powerful Retail Insights With a Common Data Platform

More than ever, data is the oxygen for retail businesses. It breathes life into the customer experience; making it consistent, personalized and amazing. Yet this isn’t possible for retailers whose data still exists in silos. But imagine if there’s a simple way to unify your customer, operational and big data to unlock better insights, service and business results. Imagine no more with this webinar.

Join our Azure webinar: Unlock Powerful Retail Insights With a Common Data Platform

Don’t miss this end-to-end retail demo showcasing Azure Synapse Analytics, Microsoft Dynamics 365 Customer Insights and Power BI. In this follow-up session to the previous Azure webinar, “Time to Insight with Azure Synapse Analytics”, learn how these solutions together can create a common, scalable and cost-effective data platform that:

• Integrates all disparate customer data into a unified customer profile
• Uncovers insights using historical, real-time and predictive analytics
• Enables business analysts and IT teams to share a single source of truth and workspace to collaborate and work with enterprise and customer data
• Empowers IT teams to run complex queries of structured and unstructured data

During this free, hands-on webinar, Tech Specialist Debananda Ghosh will:

• Give an overview of Azure Synapse Analytics
• Showcase how the Common Data Platform works via a demo
• Explain how Azure Synapse Analytics can help you manage, secure and monitor all your data on one platform
• Deep dive into new features of Azure Synapse Analytics such as a built-in data integration layer that allows data engineers to manage data pipelines using a code-free visual environment

Meet the Presenter

Debananda Ghosh Global Black Belt, Tech Specialist (Cloud Scale Analytics), Microsoft APAC

Debananda is a Microsoft certified Azure AI Engineer Associate, Azure Data Engineer Associate and Azure Data Scientist Associate. He has over 14 years of technical experience in the fields of data warehouse, database admin, data engineering, data science, advanced analytics, machine learning, deep learning and data architecture.
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