Trends and Outliers
TIBCO Spotfire's Business Intelligence Blog
Category Archives: Analytics and Twitter
2013
Who’s the Most Influential in Big Data? A Twitter Study
Big Data Republic (BDR), a big data community, recently ran a contest for its readers to nominate their favorite Twitter influencers on our favorite topic #BigData.
Using PeerIndex and a panel of real, live, human judges (which we consider a key ingredient to the legitimacy of big data analytics), BDR has compiled a list of the top 100 influencers on Twitter – the result of the month-long contest. BDR threw out any “inbound marketing spambots” and accounts not keenly focused on big data to further legitimize the list.
Tom H. C. Anderson (@tomhcanderson) came in first and we’re honored that our @TibcoSpotfire tweets are in the top 40 – ringing in at No. 34.
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2013
How BI and Data Analytics Pros Used Twitter – Greenie Edition
It’s been a fun month on Twitter in the BI and data analytics space. And with lots going on in the world of energy including climate change talks and making the world greener with big data analytics, we thought it would be fun to take a look at what’s been happening from the “greenie” perspective.
As we mention in a recent blog post, a green strategy is a hot-button issue for the upcoming year in the Obama administration. A key follow for this initiative is Amy Harder (@Amy_NJ), the energy and environment correspondent for the National Journal.
A good news source we’ve discovered on Twitter for green energy and data analytics looks to be the Green Computing Report (@GreenCompReport). This wire service of sorts releases regular news, features and research on the greening of IT.
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2013
Treading Carefully with Social Analytics
Companies can learn a great deal about customer sentiments regarding their products or their reputations by using social analytics.
For instance, Pottery Barn does an effective job of using social analytics and listening to and reacting to customer concerns minutes after those concerns are posted to Facebook, Twitter, and other social media channels, according to an article in Business 2 Community.
Monitoring customer sentiment on social channels can also help alert company executives to a brewing problem.
One of the more infamous examples involves Nestle. In 2010, the environmental watchdog group Greenpeace launched a social media attack against Nestle’s Kit Kat brand.
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Filed under: Analytics and Twitter, Retail, Social Analytics, Vertical Markets
2013
How BI and Data Analytics Pros Used Twitter in the Past Month
It’s been a little while since we’ve brought you a Twitter wrap and we have lots in store in the form of awards, interesting reads and a few cool things to check out. Let’s start with what happens when the lights go out at the Superdome.
Data Geeks & the Super Bowl on Twitter
This writer was highly entertained by @datachick’s play-by-play of the super #fail. Best Tweet? There were two of them – “Agile #SuperBowl. Just enough power” and “I’m pretty sure Nate Silver predicted this.”
Another trending topic related to the Super Bowl was the geek love fest presented by companies like GoDaddy and KIA. But the real story about love and geeks comes to us on Twitter via the MIT Sloan Management Review (@mitsmr).
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2012
Unstructured Data Analysis: 5 Steps to Avoid Drowning in Data
On average, companies are reporting more than a 40% annual growth in the data they use for analysis, according to a recent research report from Aberdeen Group.
Much of this data explosion represents unstructured data that can be difficult to format and evaluate via data analysis.
This includes unstructured data such as social media posts, recorded call center interactions between customers and agents, health records, and the bodies of email messages.
However, there are steps that businesses can take to improve how they go about gathering data, integrating data from multiple sources, and using data analysis techniques to manage the data explosion sensibly, as Glenda Nevill notes in a recent blog post.
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2012
Recap of the SFBigData Chat – 10 Questions on Big Data’s Future
Last week, we hosted a Tweet Chat on big data with several analysts. And we thought the chat was cool enough to highlight on this beautiful Friday morning. So grab a cup of Joe and see what you might have missed in the #SFBigData Tweet Chat.
Before we get to the meaty Q & A, let me point out a few highlights:
- This Tweet Chat had 492,596 impressions on Twitter and reached 43,960 Twitter accounts.
- Shawn Rogers (@shawnrog) from EMA Research received the most retweets and he may have coined a term – Hadump. But you’ll have to read on to find out what it means.
- Our list of contributors includes 26 individuals, with Shawn Rogers and Ted Cuzillo (@datadoodle) leading the pack in number of tweets. Other players include Cindi Howson (@biscorecard) from BISorecard, Neil Raden (@neilraden) of Hired Brains and Jorge Garcia (@jpgtec) of TEC. You can find the complete list of contributors in our full tweet chat report.
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Filed under: Analytics and Twitter, Big Data, Big Data Analytics, Data Analytics
2012
Achieving Success With Social Media Analytics
Social media analytics continue to evolve as companies attempt to learn from and act on behaviors and sentiments shared by consumers in web and social media channels.
In a perfect world, social media analytics would help inform corporate leaders about possible product problems that are bubbling to the surface. Social media analytics would also help them identify other market signals that can prompt actions to address anticipated shifts in buying patterns and other actions by customers.
However, it’s tough for many companies to obtain meaningful results from their uses of social media analytics.
This is partly because business leaders struggle to articulate what success looks like, notes author and analyst Marshall Sponder. Plus, most social data is unstructured, thus adding to the complexity for organizations to obtain valuable business insights.
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2012
How BI and Data Analytics Pros Used Twitter – TUCON Edition
It’s time for a special Twitter wrap – how BI and data analytics pros used Twitter during TUCON 2012 – the annual TIBCO user conference. In this month’s edition, we’ll recap the highlights and give you a “do follow” list.
The Overview
Let’s start with a high-level overview of how big this conference is.
I borrowed this from TIBCO VP Ian Gotts (@iangotts) who wrote a number of posts on the conference: “But for TIBCO, it is the highlight of the year: 2,500 delegates, 52 client and analyst speakers, 20 sponsoring companies, press from all over the globe, days packed with exciting information and hundreds of networking connections to be made, all topped off with an awesome party taking over Haze nightclub with a top show called Legends.”
Next up, I created a Storify stream to capture some of the best tweets and Twitter pics of the Legends show. You can view the Storify here.
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2012
How Business Intelligence and Data Analytics Professionals Used Twitter in August
It’s time for a wrap up of how business intelligence and data analytics pros used Twitter in August. Our monthly feature is loaded with a few awards, interesting reads, thoughtful tweets and a few cool things to check out.
Let’s kick off with the awards for these esteemed business intelligence and data analytics pros.
Best Twitter Handle & Quote
@mathematicsprof is our Best Twitter Handle of the month. While we can’t locate the name of the dignified PhD, it’s clear his Twitter handle is pretty darn cool. And what do you think of this quote from the professor, “Nowadays statistics, when analyzing online data, i
s apt to be given sexy names like data analytics, data profiling.”
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2012
Calling All London Games Data Geeks – We Have an App for That
We have an app for the social mania surrounding the London Games. This is the first time the games have been so social, so we teamed up with Attivio to help you wade through the overwhelming volume of big data (or social media data in this case) to find the insights from the previous 24 hours of activity on Twitter from athletes, fans and even detractors.
The London Athletes Social Mania app gives you access to what’s trending in athletes and phrases and lets you look at the positive and negative sentiments that are associated with those Tweets.
Syed Mahmood, Spotfire product marketing manager, says that with our partnership with Attivio “we can offer any fan, from anywhere in the world, an opportunity to look beyond ‘medals won’ and really get involved in what’s being said, whether it’s about a current or former athlete, a particular country, or the latest faux pas in London.”
Instead of writing about what you can do with this app, I’m going to show you the overview and send you off to “more than medal watch.”
London Athletes Social Mania App Tour
1. Breakdown search by Topic or Athlete. The app breaks down the top 2-keyword and 3-keyword phrases by topic and athlete. The following screenshot is by topic.
2. Drill down into Tweet sentiment analysis by selecting a keyword or group of keywords. The following screenshot shows the number of Tweets related to the 2-keyword search in a visual format.
3. View a sentiment timeline by Tweet phrase or group of Tweets. In the following example, I selected the top 2-keyword phrase “Tyson Gay” and broke down his sentiment analysis by data and negative/positive sentiment (red and green, respectively).
4. Add the human element for insights. I can then take this sentiment analysis and look at what’s happening around the time all these Tweets are going red. Something bad happens. A quick search on Twitter or Google News reveals that Gay just misses a medal by a single one-hundredth of a second. At face value, it looks like he did something wrong, but if you add in the context of the Tweets, the negative sentiment is around the feelings his fans have for his loss. That’s the human element, folks. Asking questions of the data to tell the story.
Next Steps:
- Read our press release on the partnership between Spotfire and Attivio on the London Athletes Social Mania app.
- Give the app a test drive and tweet us your thoughts on this London Games fun for data geeks.
Amanda Brandon
Spotfire Blogging Team
Filed under: Analytics and Twitter, Big Data, Social Analytics
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