It is strange to think that only a few years ago everyone was concerned about the value of the Internet being eroded because of the posting of inaccurate data. The explosion in social networking triggered by tools such as Facebook and Twitter gave birth to Web 2.0. While many of us are trying to work out what Web 3.0 really means, it is interesting to note the growing interest in data analytics.
You may have stored in the cloud countless pictures and videos which may never be looked at again. You may have created YouTube videos which have achieved hundreds of hits. You may have brought hundreds of things online. You may have subscribed to umpteen news feeds and subscriptions. You may belong to several social networks and been chatting online for years. You may use online services such as Microsoft Live Services or Google Gmail and related services.
Collectively all your information and that of others in stored somewhere in the Internet and is referred to as Big Data.
Analyzing big data has become the next hot thing. Tools referred to as Business Intelligence (BI) and data analytics that sort through this data are revealing trends and unknown facts about our usages and behaviors. Businesses and other folks can use this data to improve their day-to-day operations and competitive position.
Twice in the past few months I have written articles about generating the right data and avoiding information overload. However, historically meaningless data now becoming relevant as people shift focus from the accuracy of information to looking for usage trend, perhaps one should be keeping everything. In addition storage is becoming relatively cheap. Maybe the question is not what information I should keep but how do I get to the subset of data I need now.
Read my articles titled “5 steps to avoid network alert overload” and “Selecting the right Active Directory security reports for your business” and tell me, do I have it right?