There will be a one day crash course on all things “big data” at the upcoming San Francisco Predictive Analytics World conference on Monday, March 30th, 2015. Get the Big Data big picture with a day of introduction to the major concepts, methods, challenges, and best practices related to leveraging large volumes of information.
There will be a session on social media network analysis using NodeXL at the conference as well.
Networks are collections of connections — they are everywhere once you start to look. Learn how to collect, analyze, visualize, and publish insights into connected populations. Using the free and open NodeXL addin for Excel, anyone who can make a pie chart can now make a network chart. Create insights into social media, collaboration, organizations, markets, and other connected structures with just a few clicks. Easily publish reports with visualizations and content analysis. Apply social network analysis to your own brands, email, discussions or web sites.
I am delighted to return to South Africa where I will participate in the Mammoth BI conference in Cape Town, on November 17-18, 2014 at the Cape Town International Conference Centre, Convention Square, 1 Lower Long Street, Cape Town, 8001, Western Cape, South Africa.
People talk about the products and services the use, love or hate all the time in social media. These conversations can be better understood through perspective of social network analysis. Network theory views the world as a web of connected people. Network analysis builds measures and visualizations of collections of connections to reveal the key people, groups and issues in these conversations. Using social media network maps and reports the confusing landscape of tweets and posts comes into focus. Information visualizations of the virtual crowds of people gathered around every brand, product, event, or service highlights the range of variation in the shape of these crowds. Six different patterns have been identified so far, allowing social media managers to recognize the nature of the brand network they have and the nature of the network they want to have. Network measures are useful as KPIs for tracking not just the size and volume of a social media stream, but also the shape and structure of the pattern of connections. The six patterns: divided, unified, fragmented, clustered, and in and out hub and spoke, are a useful guide to strategic engagement in social media.
Date and Time: Sunday, March 16, 2014, Full day: 9:00Am – 4:30pm
Intended Audience: Managers, decision makers, practitioners, and professionals interested in a broad overview and introduction
Knowledge Level: All levels
Attendees will receive an electronic copy of the course notes and materials.
“Big Data” is everywhere. The topic is impacting every industry and institution. Big excitement about big data comes from the intersection of dramatic increases in computing power and data storage with growing streams of data coming from almost every person and process on Earth. The pressing question is, how do we best make value of all this data – what should we do with it?
Working with big data effectively depends on understanding the sources of data and the issues in storing and analyzing it:
Where does big data come from?
How do you manage, store, and compute on big data?
What qualifies as “big”?
This one day workshop reviews major big data success stories that have transformed businesses and created new markets.
Dr. Smith will cover these revealing stories in order to illustrate the key concepts, tools, and value-proven applications driving the big data revolution.
“Big data” is a open buzzword – it could be defined as any amount of data you can’t afford to handle – but the big, newfound value achieved by computing at scale is no fad.
What you will learn:
Where does big data come from: Common sources of big data.
What makes data big: Velocity, Variety, and Volume!
How can we leverage it: Open tools and platforms for storing and analyzing big data.
The new paradigm: Today’s shift from hypothesis testing to a broad exploration for correlations is a revolutionary change in the way data is explored.
Best practices for analyzing big data: Key methods in data science, predictive analytics, and text analytics to analytically learn from data.
Social Data: Finding key connections in webs of people and events.
Applications of big data insights to business.
Future directions in big data: bigger, bolder, and better.
Workshop starts at 9:00am
First AM Break from 10:00 – 10:15am
Second AM Break from 11:15 – 11:30am Lunch from 12:30 – 1:15pm
First PM Break: 2:00 – 2:15pm
Second PM Break: 3:15 – 3:30pm Workshops ends at 4:30pm
The Social Media Clarity podcast has just started with an initial 15 minute show devoted to analysis and advice on social media platforms and product design (http://bit.ly/12Edwvx), moderated by Randy Farmer (@frandallfarmer) and with Bryce Glass (@bryceglass) and myself. We plan to talk about a range of topics related to social media, online community, reputation systems, incentive design, analytics, visualization, and collective participation. I hope you will give a listen to the first show, Randy did a great job getting a quality recording and editing a polished package.
This episode we talk about changing rules for access to the data we all put into the cloud. The discussion is related to this post “Over the edge: Twitter API 1.1 makes “Follows” edges hard to get” – documenting the impact of changes in access to data through social media APIs. The implication from the discussion is that business may need to start building their own social network data sets since they cannot rely on cloud platforms to guarantee their access to their own data.
We plan to produce more episodes, please let us us know what topics you’d like to hear discussed.