Business Solution: Address critical business challenges unique to your industry or across your lines of business, using solutions that the framework navigates.
Reporting: Get answers to more sophisticated questions, format presentation-quality results and easily share findings across client’s enterprise.
Analytics: Move from reactive to proactive decisions using the predictive analytics capa
What’s Business Intelligence(BI) ?
Set of applications and technologies of approaching, gathering, storing, analyzing data for quick and correct decision-making.
It includes
{data mining, data base& data warehouse, statistic analytics, prediction etc}
“An umbrella term to describe concepts and methods to improve business decision making by using fact-based support systems."
The Ugly Side of CRM: Why CRM Matters
- More now than Ever Before
Now, companies have no choice as the power of the customer grows exponentially as the Internet grows.
Figure 11.3
In every case, you have become an integral part of the action as a member of the aggregated, interactive, self-organizing, auto-entertaining audience.
You constructed open-source software and
제1장 데이터마이닝의 개요
1. 데이터마이닝의 정의
1956년 미국의 어느 조그만 마을에 작은 전파상을 운영하는 밀러라는 사람이 있었다. 이 전파상은 수 대에 걸쳐서 내려오는, 그 주위의 여러 다른 마을에도 소문이 난 유명한 가게였다. 물론 주위에는 여러 개의 전파상이 있었지만 유독 밀러씨
II. The Definition of VaR
Value at Risk (VaR)
Maximum loss not exceeded with a given
probability defined as the confidence level,
over a given period of time.
III. Interpretation of VaR
The Question Being Asked in VaR
“What loss level is such that we are X %
confident it will not be exceeded
in N business days?”
Confidence Level
Probability that Por