Introduction
We live in a digital world!! Every
interaction is a “transaction”, and recorded into the computer’s storage.
So, what is the primary need of capturing
this transactional data?
·
Proof of Interaction
·
Grain for Business Analysis
·
Case for Predictive Analysis
As we have digitized every piece into a
bit, the challenge faced today is more in terms of
·
Volume of Data and,
·
The disparate forms of Data in
a Domain.
As mentioned, data has a purpose to serve;
the major is that of participating in analysis, leading to the intelligence
required by the business to make informed decisions.
In this multi part blog series, we will try
to cover the need, along with the design & implementation practices for a
Business Intelligence Application.
The Framework for Business Intelligence
A Business Intelligence
Application, from a layered architecture perspective would be represented as
shown in Figure 1.
This framework is
conceptual, and technology agnostic.
Figure 1.
1.
The Data
Integration will result in the Consolidated Data Storage
2.
Data
Analysis and Rich Visualization such as decomposition trees will use this
Consolidated Data
3.
The
Consolidated Data can be termed as Data Warehouse OR Data Mart.
In
the next blog, we will explore the Application Data Layer.
Until then; Cheers!!
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