Analyzing Shopping via Social Channels

Omni-Channel Retailing evolved from multi-channel retailing, with a specific focus on a seamless approach to the consumer experience through all available shopping channels: mobile, computers, brick-and-mortar, social, television, radio, direct mail, catalog and so on. How retail stores integrate social & mobile technologies into the buying experience to close the gap between in-store transactions and…

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Data Visualization for Salesforce using PowerBI

TL;DR: Democratizing Analytics capabilities for Line of Business (LOB) applications is a powerful capability of Power BI. Power BI in combination with LOB applications can empower Retailers with Insights from key business processes. Here is an example of Power BI integration with Dynamics CRM http://bit.ly/1sC4MVg by the Power BI Team. I worked on an example…

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Microsoft Azure Machine Learning Service and what it means to the Retail Industry

Retailers, today, have access to a variety of data sources that include social media, opendata, data generated by the internet of things. The combination of their proprietary data with public and purchased data provides valuable insights into customer purchase patterns and demand. Microsoft’s vision is to provide a platform that stresses the need for everyone,…

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Machine Learning Resources

Machine learning not only is big in Microsoft Research, but it is pervasive throughout all Microsoft products. So whenever you use a Microsoft product you’re using a system that’s been generated from machine learning. By leveraging insights from Office 365 and mapping the relationships between people, groups, files and conversations through machine learning, we can…

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Visualizing Netflix vs Redbox with Google Trends and Power BI

Here is a visualization that I pulled together comparing search data for Netflix vs Redbox using Google Trends. The data was imported into (and cleansed) Excel 2013 using Power Query. You need a Frames Capable browser to view this content. You can access this interactive visualization in full screen using this link : http://bit.ly/1gkEVMq Here…

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Analyzing Inbound Tourism for defining new markets

Analyzing Inbound tourism is essential for the Retail, Travel and Hospitality Industries for better understanding tourism flows and creating marketing strategies for specific countries. I found the raw data for this in spreadsheet format from the UNData site at http://bit.ly/1jT7b7H The spreadsheet download from UNData isn’t in a format that supports analysis, so the next…

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SQL Server 2014 in the Retail Sector

SQL Server 2014 enables customers to build mission-critical applications and Big Data solutions using high-performance, in-memory technology across OLTP, data warehousing, business intelligence and analytics workloads without having to buy expensive add-ons or high-end appliances. How do you boost availability and speed disaster recovery across an expanding, global data infrastructure? For Amway, the answer is…

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Visualizing the Data Exhaust of the Internet of Your Things

  I use a lot of devices (and smartphone apps) that collect data on the activities that I do; and one of them is Windsurfing. On my windsurfing session last weekend, I wore a Garmin 310XT to collect location and speed data. The GPS lets me export the data as KML. I used Power Query…

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BigData at MarketMix

Thanks to Duane Bedard & Tina Munro of eSageGroup, I participated in a panel discussion at MarketMix with the brilliant Data Scientists: Jason Gowans of Nordstrom and Jon Francis of Nike. Duane Bedard did an excellent job of moderating the conversation.  I love his skill of condensing everything we said to short soundbytes that were…

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Big Data Retail Forum

I presented at the Big Data Retail Forum this morning and it was an interesting mix of Retail and Consumer companies. The focus of the presentation was on the convergence of "Democratization of Data" & "Democratization of Tools" driving acceleration of Big Data Analytics in Retail.  My presentation from the session: Empowering Retailers with Customer…

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