Most of the sessions will be picked based on pitches in our opening session. The method is simple: anyone who wants to present a session, or lead a discussion, can propose it. We'll fill out the schedule based on which sessions people want to attend (if you haven't been to an unconference before, this works better than you might think). We'll have a few invited speakers to cover some important topics, but most of our day will be based on sharing what we know with people who want to learn.
If you plan to pitch a session, please add it to the list below (you'll need to create a free Wikidot account to make changes to the wiki). Remember to register, too. If you need ideas, you might find inspiration on the session ideas page or in previous years' proposals (2010, 2011, 2012), but you're not limited by our imagination. You can pitch anything you want at AnalyticsCamp, and everyone there will decide whether they want that session to happen.
Session proposals
Include session title, description, and your name. Link to a reference or blog post if that helps. Adding your Twitter handle would be a nice touch, too (Session leaders list on Twitter).
- Title Description. Name, Company (optional) (@Twitter_handle)
- How to create a free, cloud-based, Google Analytics Dashboard Using nothing more than your existing Google Analytics and Google Apps account, along with a little help from our old friend, the Google Analytics API, you too can create awesome and automated spreadsheets for your peeps you love around the globe, but don't necessarily want them fiddling about inside your GA account. Yes, of course there are slides, but they're boring, which is why I'll be performing this feat of magic live and w/no safety nets! Dean Peters, McClatchy Interactive (@DeanPeters)
- So you have a segmentation — now what? Using analytics to leverage an exisiting segmentation. Aaron Terry, BCBSNC
- Data Science Built to Last Three questions to ask yourself for every analysis. Melinda Thielbar, IAVO Research and Scientific
- Math of Viral Marketing Understand viral marketing - how the math works, what to measure, how things change for different formats. Colin Shepherd, QVC. slides
- Social Network Analysis What is it, what are the metrics, and how does it relate to conventional statistical analysis? After a brief overview, we'll open a discussion on what session participants are planning and doing with SNA, and how to apply it in business and research settings. Bruce Conner
- Instagram Insights Using an opensource engagement platform that was built for the My #HuntLibrary project as the starting point for discussion, we'll talk about what kinds of metadata are available via the Instagram API, how we might analyze it, and what we might to learn from it. Mike Nutt, NCSU Libraries (@splendidmike)
- Brain Friendly Presentations You've collected the data, you've done the analysis, but if you can't change people's behavior, what is the point? Almost everyone we talk to has a brain and that might be the problem. Get a glimpse into how our brains process information and learn ways to align our presentations with the way our brains work so you can make more convincing presentations. Sidd Chopra of LookWiser.com (@Siddchopra)
- Big Data Analytics and CyberSecurity Big data is expected to play a crucial role in the cybersecurity landscape. Learn how the security industry is using big data analytics and integrating Artificial Intelligence techniques (statistical analysis, autonomic/agent-based computing, ensemble classification, game-theoretic self-optimization) within the framework of distributed, intelligent, and forward-thinking security architecture. For example, Cisco is using these techniques to create solutions in the domain of Network Behavior Analysis (NBA), in order fight against modern sophisticated attacks in today's cyberspace, including Advanced Persistent Threats (APT), exploit kits, zero-day attacks, molymorphic malware and trojans inside the client's network. Omar Santos, Cisco Systems (@santosomar)
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