Recently, Twitter announced that they were cleaning out spammers and addressing data inconsistencies. What does this mean for you, the Twitter user? You might see a significant drop in your following and followers numbers. Did your Twitter follower count take a hit from this clean-up or would you even notice?
A regular practice that we like to suggest at RESolutionsTECH is the importance of benchmarking your data. Benchmarking your data is the key to measuring changes in your database over time. It is a great representation of the good, the bad, and the plain out ugly things that may be happening with your data. Examples of typical benchmarks are the number of constituents, number of constituents with valid address, number with phone number, number with employment information, number with email addresses, etc. Some newer benchmarks that some organizations are measuring are Facebook Fans, Twitter Followers, LinkedIn Contacts, etc.
You may or may not know how this Twitter clean-up has affected you. What is important here is that when looking at all the data you are maintaining that you know when things change, why did they change, how does it affect you, is it positive or negative.
I would love to know if you are benchmarking the data of your organization. What are your measures? How has it made a difference for you?
Sunday, July 26, 2009
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