One of my observations about Social Media has been about the topic of quality fiteration. Now what do I mean about that? I have been quite active on Facebook within my friends' circle. Though I post less, I get to see posts in thousands. On LinkedIn, I have more than a thousand professional connections (even after deleting the frivolous ones). Add to that, the connections I have through the 50 (yeah, I have 50 - the max allowed with a free account) groups on LinkedIn. That exposes me to thousands of posts by people connected to me, directly or indirectly. Add tweets to that. Plus Google Groups. Now, being an entrepreneur, I do have a feeling not to ignoremany of the posts. But I have limited time and that clearly makes me skip through things that do not seem important to me. Now, these days, people are clever enough to package the wordings of a post in a way that 'seems' relevant to readers. After the first paragraph, it stops being interesting. Haven't you gone through this already?

Image via Wikipedia
Too much content and very little time - this phrase is picked from a link sent by Thomas Marzano. This link clearly shows the way 'curated integration' is being propagated as the next wave in social media and how the different aspects of social media can be utilized to a fuller exten
An excellent analysis of the growth of social media is shown by Shea Bennett at Media Bistro. It is contrasted with the fragmentation of social media and the ever-reducing attention span of audience.
How does this matter to me personally? Being an entrepreneur in the automotive domain, I am on the look out for bringing more social media into people lives and of course am aware of the short attention span that people have (or care to give). Will people listen any further or it is all lost in a big hum that keeps surrounding us at all times? How can 'focus' be perfected?

Image by For Inspiration Only via Flickr
I have been talking to email campaigners who specialize in reaching focused audience, and avoiding spam for their special customers. They do not seem to be very successful in every sense. A friend in Brazil is working further on making a 'behavioral model' for customer segments - keeping in mind that customers change their minds more frequently than companies updated their email campaign.
I will update you about this effort soon.
Things are back to normal. All important backups restored - will double check if anything else is to be taken care of! Task completed 35 mins before target time!
Temporary Announcement (10h03 CET 24 June 2011): The site is restored to a backup version due to a server error. It was an unexpected event, and my service provider says, 'Sorry!' - Give me 10 hours (till 20h00 CET on 24 June 2011) and I will restore the latest version of the site from my backup (need to access my home PC for this - takes five minutes to do it from home!) Thanks for your patience and please revisit the site soon! You can still reach me anytime by clicking here.
I foresee the future competition between rival companies will be quite a lot based on business analytics and authenticity plus speed of information processing. It is really a tool that is new in this decade in particular, but amongst other tools that help businesses compete, analytics is rising in visibility and usefulness. I consider analytics as an enabler for the traditional methods of competition - it will help reduce prices, find new markets, create customer demand, evaluate customer responses, and give more agility to the firm to shift or improve its business strategies. In addition, I also feel that analytics helps 'evaluate' current strategies faster than what you can derive from company financial statements. It is like having an eye on things going on and responding appropriately.
However, one big issue is the authenticity of the
data analyzed. I remember the phrase '
Garbage In, Garbage Out' - and this holds true for times to come. This way, the basic information validation services are quite important to give credibility to the analytics' results.
Thirdly, since data can be distorted by many sources, business rivals will knowingly distort information to give different indications to their rivals - the solution is to look beyond what the data says and derive collateral conclusions. As an example, I found a company was really keen on starting a '
cycling competition' in various cities and engaged a team to find out which cities have dedicated cycling lanes. You may not be surprised, but the real reason for this study was to introduce a small car which had permits to use cycling lanes in cities. So, thinking laterally is quite important in case a business wants to know the real reasons behind the data shown by its rivals.