I write this rising from the frustrations and the plight after finishing a BI (Business Intelligence) course from the only institute in Bangalore, and after doing enough reading about the much hyped BI & its expected outcome, its failures in the market. Who is a Business analyst? What is a Business intelligence team? Everyone seems to have their own customized shasthra about the BI & BA (Business analyst).
some understanding about BI per Gartner………..
A core topic of research coined by Gartner in late 1980’s, BI is a USER CENTERED / DEPENDENT PROCESS who would access, explore & analyze organizational data. This should & must lead to developing insights & better understanding of the business genetics, forces that influence, govern the growth etc. This in turn would lead to improved & informed decision making in a broader sense. In today’s highly competitive scenario, the BI doesn’t stop still decision supporting but it goes beyond that in predictions, forecasting, modeling & so on.
I see that the BI’s expectations are really high & they seem to be in line with the thinking process of chief in command of a project/unit/company.
But is this true in the real market scenario ?
Are business anlaysts delivering per what i have mentioned above?
(More would follow)
4 comments:
Where there is no challenge, there is no fun in working.
BAs are not able to deliver what they are expected to and there lies the challenge ahead.
BI companies are in need of people who think analytically and understand business. So you may want to reconsider your decision !!!
Bhupendra
lol.........
Oh yeah... the title is just out of frustration when im learning all the scenarios in the market.......
I definitely wish to take up Business analyst one of my dream jobs........
You could give a try for Predictive Analysis. Predictive analytics is widely used in making customer decisions. One of the most well-known applications is credit scoring, which is used throughout financial services. Scoring models process a customer’s credit history, loan application, customer data, etc., in order to rank-order individuals by their likelihood of making future credit payments on time. Predictive analytics are also used in insurance, telecommunications, retail, travel, healthcare, pharmaceuticals and other fields.
All the bescos I know what you are goin thro;)
Cheers,
Yogesh
thanks yogesh
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