After long term of development, Business intelligence was moving into a new stage. that’s so-called BI2.0. The new term was introduced by BO corporation and trying to influence industry in an unnatural way.
After I studied the whole concept, I came up into these meaningful points, Clearly, I got rid of some tedious and unrealistic content pushed by vendors.
1.What’s business intelligence 2.0?
Business intelligence 2.0 is a term most likely named after web 2.0. Based on the BI of the first generation, BI2.0 provide more experience to meet user's requirements in a larger scope, like more easy-use UI, platformlise, .etc.
2. The new characters of BI 2.0
1. it enable user to query dynamically real time data
2. more web and browser-based approached to business data.
3.imply a trend towards moving away from the standard data warehouse that business intelligence tools has used,applying a new way to relate information quickly from many sources.
3. Why BI.20?
Will we continue to follow a new concept? Maybe. The new concept is the marketing strategy commonly used by vendor. The key point for us is that we need to continue to involve client’s engagement and provide more business value for customers. I am still optimistic about BI field.
1.the potential business opportunity is still huge.
The business heads always have a deep expectation for intelligence system. The desired system is help users to watch out their business in a real time, response to any change and do more further decision. However, in the traditional fashion, senior managers only depends on reports, that's why reporting functionality and querying tools characterized the previous business intelligence software.
As a industry expert, we should not ignore the real business value behind the technology. Generally, the first generation of BI software provide the wide use on data integration, the more valuable innovation is to help decision maker to do a right thing and give a rapid response to their business.
2. The essential technologies are getting mature.
SOA. XBRL , Semantic Web ontologies enable using data external to an organization, such as benchmarking type.
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