Back from Singapore and London, I’m glad that I went to Singapore, but it’s a long trip, and not one I would make often. I saw a lot of really interesting things in Singapore including:
- T.Jacket (getting a hug from a jacket) – like the idea of a jacket that applies pressure to calm emotional issues (as well as treating autistic people) and provides analytics; I tried a jacket on just to see what it felt like. I think this product falls into the realm of personal analytics
- Noisestreet - I didn’t really understand the platform but it looked like an interesting concept.
- Sageby – it’s a new platform that attempts to monetize spare time – I’ve seen ideas like this before, I suspect the issues will be in adoption (would enough people adopt it to make the platform worthwhile – but then again, perhaps they’ll find a way to get more people to try it).
- 2her.com – create a story around a piece of fashion – it’s not really a technology, but more of a service – interesting idea, can’t say it’s something I’d have thought of doing – probably good for SEO.
- 3D INTERNATIONAL - it’s hardware technology that enables content to be shown in 3D, as long as the content is remastered for it – does not require glasses.
- There was also fashion mapping program that I found interesting, but the developer did not have an online demo to link to, and I don’t have the name of the application yet.
Also visited Brandtology’s offices in Singapore and had a very in-depth presentation of a case study around Harbor City, Hong Kong, as well as the other kinds of reports and analysis that Brandtology offers to it’s clients. Very impressive – especially some new stuff I can’t yet talk about. Also got to swim in the Infinity Pool at the Marina Bay Sands Hotel and go on the Singapore Flyer. Also had a change to visit Hackerspace Singapore last Wednesday night. In London, spent time with friends over at Innovation Warehouse and The British Museum while spending time in Couch End part of London for a few days before heading back.
Web Journal –
- Tech Startups opt for NYC over Bay Area – I could have told you that 4 years ago, now it’s official.
- Influencer’s are the wrong model for Social Media outreach – it’s all about your friends (really), and it always was.
- Facebook becomes the universal solvent for all check in data.
- Facebook Timeline goes back 1000 years (wha!?)
- Social Media Monitoring for Intentions (do as I do, not as I say)
- I was in this article about Big Data (read it if you have time)
- Pew Reports Search Engine Usage over Time report – a must read, but few surprises but also there’s a report that shows people don’t like personalized search results (even though they respond to them).
- Good Infographic on Social Media Monitoring tools – but haven’t had a chance to look at it closely.
- Google Search Changes acoming – ha. There’s an over optimization report that is in the works.
- Been saying this for 4 years - where’s the SEO reports in Social Analytics platforms?
- Another Brand Monitoring Platform?
- Brandwatch gets 6 million of additional funding – great news! I guess had I tried to reach out to Giles Palmer this weekend, when I was in London, he’d have been celebrating. Fantastic!
- No one Analyzing Big Data? I think this is a good post that says you must first put your data in a model before it can be analyzed (very much Gary Angel’s point of view, as is mine).
- Big Data is being Hyped. I agree – in fact, this was a great article – doesn’t change that I want to write a book about this (Big Data) but I was most interested in point f, the rest, I already knew, but it was a great examination of what is really going on with getting the value of Big Data and if the growth will really be what people have said. On the other hand, there is a lot to say there will be growth in the area of Big Data, but more in bringing it to areas such as public data, and reaching out to smaller businesses that might not have been able to leverage it before, for various reasons.
- MoonToast – looks interesting as a way to generate income for Artists of all types, interested in what the Analytics would look like – perhaps I will get a look.
- Social Media Monitoring Maturity Model – there’s a nice dashboard here that says “standalone systems” aren’t scalable – AMEN – that’s exactly what I wrote about in my book – like the diagram though I’m not sure for whom it’s intended (is the end goal just “customer service”)?
- Semphonic Data White Paper – a monumental contribution to the field of Analytics – they did a good job (Gary Angel) of pulling back the curtains and showing us some of the IP that distinguishes Semphonic from the other integration type services. I also need to catch up on Gary Angel’s last 3 posts at SEMANGEL -Using Online Survey Research for More than Site Satisfaction and Finding the Right Problem to Tackle: When Web Analytics Technologies Chase Problems as well as A Web Analytics – Big Data – Social Media Measurement Grab Bag – being away in Singapore slowed down my reading and posting, somewhat.
- Nathan Gilliatt’s post on Language Support in Social Media Monitoring was pretty darn good and supports chapter 3 of my book. Nathan also has some pretty excellent posts at Net-Savvy, so it’s wise to check them all out.
- If I had the time I’d read HSM’s analyst guide for Social Media Monitoring as it gives a good idea of how our conversations are being monitored by the government. At least, I’m happy to say, that HSM wants verification – though the keyword list is long and wide. I do think there will be a problem using keywords to identify specious activity and usually, too many false positives to make the service that useful, at this time. I suspect that we think the government is listening to our conversations – and it appears they are (and they appear to want to go by several sources before locking anyone up) – but from the manual, I’d have to wonder how well they can accomplish what they have set out to do.
- Working tactically with Social Media Monitoring – interesting post – not sure what to say about it besides, to read it.
- GraphEffect – looks interesting but haven’t tried it (it’s for Facebook, mainly)
- Did you know there are 8 levels of Analytics? Do you agree?
Finally, was thinking about a few things such as
- The need to articulate business and analytics issues – that might have been an effect of reading this article on Big Data, but there’s an argument that it’s difficult, if not impossible to analyze that which we can not articulate and verbalize – and many organizations need help with that.
Busy week ahead, including attending StructureData 2012 on Wednesday and Thursday – will post about this once I have a feeling for what is going on at the conference about Big Data. Search Engine Strategies is also in NYC, so there’s a lot going on.
Lots of stuff on look at, and think about.