10 Ways to Discover Social Media Content When brainstorming about what kinds of content to create and share in social media, you need not look any further for inspiration than social media channels themselves. Colleagues who communicate with customers every day can also provide excellent insight. Let’s take a closer look at how to uncover the important issues your community is ready and willing to discuss with you. 1. Ask Your Customers Directly Your customers are your best source of intelligence. 2. Your sales team spends their time talking to customers and prospects. 3. Customer service and technical support reps know what the weak points are in your products and marketing materials. 4. While asking your customers direct questions is one way to get information from them, following them on Twitter and other social media platforms is a way to find out what’s really on their minds. 5. LinkedIn Groups can be a great source of content ideas. 6. 7. 8. What kinds of questions are people asking online in your industry? 9. 10.
Google launches Views, a community for contributing photo spheres to Google Maps Google launched on Tuesday a new community website, called Views, which allows people to publicly contribute, share and geo-tag their photos spheres of places around the global to Google Maps. To upload a photo sphere, sign into Views with your Google+ credentials and select the camera button on the top right. From there, simply import photo spheres from your Google+ photos. You can also upload photos to Views from the Gallery in Android devices. Just select "Share" and then Google Maps. Views also includes the Street View Gallery, letting users check out various panoramas from popular Street View collections like the Grand Canyon and Swiss Alps. Read: Google opens Google Maps Preview to all - no email invite required Anyone with Android 4.2 or higher, including most Nexus devices, can create a 360-degree photo sphere.
Study: Social media is 'brain candy' - Vote for the best company in Austin's business competition ACBJ archive Researchers at Harvard say that social media is brain candy for those who use it. The study comes as the deadline nears for nominations to participate in the Social Madness competition which will honor companies doing outstanding work in social networking. Staff Silicon Valley Business Journal A new study from Harvard says the reason that Facebook, Twitter and other social media are so popular and addictive is that they pleasantly stimulate the same part of the brain as when people eat food, get money or have sex. The researchers found that people simply like to talk about themselves and social media outlets provide a very effective way to do that. The researchers at Harvard asked test subjects hooked up to an MRI machine questions about their own opinions and some about other people's opinions. They found the brain was strongly engaged when the test subjects talked about themselves, and less engaged when talking about someone else.
World Leading Intelligence Analysis - Analyst's Notebook 8.5 fredmcclimans.com Your business isn't a game of chance Fill out the form to get your custom demo. Cognos. Only better. Esri Maps for IBM Cognos plugs directly into your existing Cognos environment. The result? Stop ignoring your data. Find out where your best customers are and see where you can find more of them. Engineered for your enterprise. Take advantage of your existing BI architecture, including the security, capabilities, and scalability you've worked hard to define. Geography in action. See how a major beverage distributor uses Esri Maps for IBM Cognos to display unit sales by ZIP code along with all underlying business information.
5 QUESTIONS with Gnip Inc. CEO Jud Valeski Boulder-based Gnip Inc. specializes in gathering data from public social networks such as Twitter, Facebook and YouTube and providing real-time content to a variety of firms in industries such as social media monitoring, business intelligence, government and finance. CEO Jud Valeski spoke with the Camera recently about the company's current state, competition and direction. The following has been edited for clarity and space. 1. What are some of the biggest challenges in collecting this data? All of these different providers, all of these different consumers of the content use all of their own protocols and formats to communicate outward and inward to consumers. There's also a volume of content challenge, which is actually a bigger one. 2. There's this social cocktail and there are obviously a variety of different sources and a variety of different providers. ... 3. It's both a blessing and a curse. ... 4. We're 35 people now. 5. There's also a "what's old is new again" (shift).
The week in big data on Twitter, visualized I decided to play around a little more with ScraperWiki this week to see what people were talking about when they talked about big data on Twitter. The idea was to kill two birds with one stone: (1) demonstrate once again what’s possible in the realm of data visualization and mining even for novices using free online tools, and (2) give a little taste of what got people excited in the past seven days. There are scientific studies and then there are collections of numbers, words and charts that purport to say something. This is decidedly the latter, but I really just wanted to see what types of stuff I could do with the data. If it’s at all interesting or useful, let me know. Without further ado, here are some highlights of what I found, based on a sample of just more than 33,000 tweets mentioning “big data.” Here are the general stats from ScraperWiki, showing the number of tweets collected, the most-mentioned users, screen names (read “tweeters”) and hashtags, and other info. Hadoop
Jasper Soft eBook Five Levels of Embedded Bi PDF 16098 Quip: A Beautiful, Contrarian Word Processor Word processors may be among the most essential pieces of software on the planet, but they’re also among the most mundane. The last one I can think of that felt like a landmark was Writely, the 2005 browser-based app that later became Google Docs. And even though a fair amount of writing is done on mobile devices these days, most of it is done with apps that basically attempt to mimic and extend desktop word processors — usually Microsoft Word, which still dominates the industry so utterly that it tends to define even its competition. And then there’s Quip. Quip is an app for iPad and iPhone (with a preview version for Android) and a browser-based service for desktop and laptop computers. Even now, a heck of a lot of word-processing collaboration is done by e-mailing documents in Word format. Instead, it tries to give tools that will lure teams to retool their approach to collaboration around Quip: Quip is following a freemium strategy.
State Street’s Chief Scientist on How to Tame Big Data Using Semantics Semantic databases are the next frontier in managing big data, says State Street's David Saul. Financial institutions are accumulating data at a rapid pace. Between massive amounts of internal information and an ever-growing pool of unstructured data to deal with, banks' data management and storage capabilities are being stretched thin. The semantic data model associates a meaning to each piece of data to allow for better evaluation and analysis, Saul notes, adding that given their ability to analyze relationships, semantic databases are particularly well-suited for the financial services industry. "Our most important asset is the data we own and the data we act as a custodian for," he says. Semantic technology, notes Saul, is based on the same technology "that all of us use on the World Wide Web, and that's the concept of being able to hyperlink from one location to another location. Using a semantic database, each piece of data has a meaning associated with it, says Saul. More Insights