We are proud to announce the 6th Edmonton Data Science meetup on November 2nd.
The presentations include:
• "Beer, Diapers and the Pregnant Teen: Big Data in Retail" - Chris Fletcher (Data Solutions Specialist @ Granify)
• "Implementation & Key Success Factors for Business Intelligence Projects" - Aina Khan (Director @ SemTegra)
• "Group Discussion on Data Science in our local community" - Current research/industry topics, Engaging students and professionals in our local industry, Future trends.
Pizza will be provided before presentations and after presentations, we will head to a pub for free beer and networking!
The meetup is jointly sponsored by Granify Inc. ( http://www.granify.com/ ) and IEEE Com/Comp Society ( http://northerncanada.ieee.ca/ ).
Beer, Diapers and the Pregnant Teen: Big Data in Retail
Data Scientists are some of the most highly in-demand positions at famous retailers like Macy's, Nordstrom's, the Bay and Target. With billions of pieces of data on customer demographics, behavioural patterns, buying patterns, and more - retailers are trying to find patterns and derive methods to take action. The insights gathered from this data shape how we make buying decisions, who we buy from, and when. In this discussion, Chris will cover some of the ways that retailers are already applying data science, predictive analytics, and artificial intelligence, and what to expect in the next decade.
Implementation & Key Success Factors for Business Intelligence Projects
The role of Business Intelligence (BI) systems and their influence over organizations have been subject to change. From simple, static analytical applications they have evolved into solutions that can be used in strategic planning, customer relationship management, monitoring operations, studying the profitability of products, etc. (Negash & Gray, 2008). Implementation of BI projects is different from Application Development projects. Research proves that the success rate of BI projects is still significantly low. This presentation is based on personal experience and industry best practices for improving success rate of your BI or Data Analytics project. Topics include: i) Overview of Business Intelligence (BI) Implementations, ii) Key Challenges with BI Projects, iii) Recommendations for Implementation of BI projects, iv) Key Success Factors to consider.
Edmonton Data Science (EDS) meetups are a platform for data science enthusiasts and professionals to:
• learn about big data techniques and tools
• discuss best practices in big data and data science
• promote big data and data science among university students and the local tech community
• learn about practical applications of data science methods
• learn about companies that use data science as the foundation of their business processes
We are passionate about data science and big data. We hope to create a vibrant data science community that is engaged in sharing and learning different topics in the field.
In these meetups, we intend to a) share best practices and knowledge of data science-based startups and corporations with university students, b) introduce research works on big data and data science to the local tech community. We aim to connect the students to companies and make them more aware of our vibrant local tech community. We also invite professors and researchers to present their work on data mining and machine learning methods to the professional community. Each meetup will include a presentation introducing a company who is using data science techniques, and two presentations about big data, data science and machine learning techniques.