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Retail Insights: What's Possible with a Modern Data Architecture?

Recorded on September 22nd, 2014

New types of data flow into and around today’s retail businesses with the speed and volume that many retailers are unable to process with their traditional data architectures. Apache Hadoop, integrated within a modern data architecture, delivers aggregated, detailed data. Retailers can use this data for new batch, interactive and real-time analytics aligned with their most relevant KPIs.

As part of a modern data architecture, Hadoop gives forward-thinking retailers an edge in gaining a greater share of the consumer wallet.

Join this webinar to find out how Hortonworks Data Platform delivers:

  • Superior economics compared to legacy analytics, data warehousing and storage solutions.
  • Consumer insights by mining a rich trail of social interactions from reviews, comments, blogs, and social network messages.
  • Enterprise Hadoop capabilities for data management, data access, governance, operations and security.


Greg Girard, Program Director, Omni-Channel Analytics Strategies at IDC Retail Insights

Greg co-leads IDC’s global cross-functional big data and analytics team with particular focus on BDA opportunities in retail. He provides targeted, fact-based guidance to retailers for the application of analytics across the enterprise and ecosystems with particular focus on marketing, merchandising, planning, and customer strategies.

Mark Ledbetter, Vice President, Industry Solutions at Hortonworks

Mark is responsible for engaging the Hortonworks customer base and facilitating value based adoption of high return use cases, completing open source development items as needed within the Apache Hadoop roadmap, and supporting the long term success and community of customers within each industry. Mark has twenty-five plus years experience in the software industry with a focus on Retail and supply chain.


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