Outlook 2010 – Part 2: Businesses

Earlier this month, I wrote about 2010 developments on the consumer side. In this post, I’ll focus on developments that I think will affect business the most, particular in regards to social business and social media. These are the topics:

  • Rationalization
  • Preparation
  • Application
  • Other developments

[Read more...]

Unwinding while listening to Ludovico Einaudi’s excellent album “Divenire”

I’m normally not a fan of classical music, but I’ve grown to like Ludovico Einaudi–though it’s not real classical music, more contemporary because Einaudi is actually still alive and well :)

The YouTube clip above is of the song “Primavera”, off his 2006 album “Divenire”.

This is how you dominate #fantasyfootball!

2009_week14_final

Here’s a screenshot of how I finished in fantasy football this year, winning two regular season crowns and securing the playoffs in all four leagues!

Bring on the playoffs!

Outlook 2010 – Part 1: Consumers

This month, I’ll be looking ahead to 2010 and the developments that I’ll be looking forward to. In this post, I’ll be discussing trends on the consumer side and in the next post, we’ll be looking at developments on the business side. The developments on the consumer side I’ll be looking at are:

  • Social Developments
  • Content Developments
  • Technology Developments

[Read more...]

Cross-Analyzing Customer Sentiment And Customer Segments

Cross-Analyzing Customer Sentiment And Customer SegmentsEarlier this month, we talked about sentiment analysis. In this post, I’ll dive into the topic of adding meaning to the numbers. Having a nice number of total positive mentions doesn’t have to be representative of how each customer segment feels about your organization, brand, or products/services.

Adding Up The Numbers

As discussed earlier this month, the most important thing to discern in sentiment analysis is the uniqueness of sentiment, i.e. whether the sentiments monitored/measured are unique to a person or is distributed through influence or virality.

Throughout this post, I’ll use the following example. A company has monitored the social web and has filtered out the unique sentiments that mention something about the company. A total of 5,010 sentiments were found. The company found 1,765 positive mentions; 2,357 neutral mentions; and 888 negative mentions.

From a totals perspective, this looks quite promising. When the neutral mentions are disregarded, the company gets nearly twice as many positive mentions as negative mentions. However, it’s time to put the numbers into perspective.

[Read more...]