A Big Data Problem Rue La La Before Cloud Data Analytics Rue La La stored its structured data in a legacy enterprise data warehouse. Their semi-structured email and clickstream data needed to be housed in a separate platform. Rue La La needed to unify these two data sources to gain a 360-view of its customers. Their challenges: Rue La La’s disparate data silos were limiting their analysts’ ability to integrate their data and analyze it together.
39:57What are Snowflake Office Hours? • Live, 30-minute case study and Q&A sessions with a Snowflake customer. • Ask an industry peer questions about their Snowflake cloud data warehouse implementation and
10:27During the NRF Big Show, Tim Nelson, Director of Enterprise Data and Intelligence, and Terry Campbell, Sr. Manager, IT - Enterprise Intelligence Systems, shared with our friends from Retail Touchpoint
26:58Tim Nelson and Terry Campbell of Office Depot, Inc., a leading omnichannel provider of business services and supplies, products and technology solutions, share why the Data Warehouse architecture is t
59:02Hear how Lilly Pulitzer, a retail organization specializing in resort wear for women, used Snowflake and Looker to consolidate data sets and deliver real-time insights.
1:14Hear how Picnic, an online supermarket business in the Netherlands, scales their immense growth of user data and performance with Snowflake’s cloud data warehouse.
33:46What are Snowflake Office Hours? • Live, 30-minute case study and Q&A sessions with a Snowflake customer. • Ask an industry peer questions about their Snowflake cloud data warehouse implementation an
54:58Key findings from a new Harvard Business Review survey reveal the huge gaps between what organizations want from their data analytics and what they actually get. Join survey sponsors Snowflake, MicroS
36:19Topics include: The personalized retail experience in an omni-channel model using the power of the cloud Data ingestion and siloed data sources Unifying click stream and transactional data Acquisiti
42:38Rue Gilt Groupe, an e-commerce organization, has over 100,000 products that turn over every day. Turning over these products requires analyzing large changing data sets about customer preferences, tha
30:01The retail landscape will change more in the next 2 years than the past 50. In fact, by 2020 Gen Z will become the largest group of consumers worldwide. This generation grew up with the internet, smar
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36:55Master Data Management (MDM) is a critical component of today’s dynamic retail landscape. In this webcast, Venkatesh Ramakrishnan, Practice Head, Master Data Management, Wipro Technologies, will join
