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Prototype Data
Mart for the Data Warehouse of a Central Bank in India
Data Warehousing is a key technology
for advanced Decision
Support Systems and Executive Information Systems. Today,
it is imperative to establish a link between business strategies
and information technology. Data Warehousing can create
this link.
The need for a Data
warehouse is driven by factors like.
- Proactive strategies and rapid
decision-making.
- Lots of PC-based or small server
systems obtaining extracts of data incapable of presenting
a holistic view of the entire gamut of information.
- Same data present on different
systems, in different departments and users may be unaware
of this fact.
- Difficulty in getting timely,
meaningful information.
- Multiple systems giving different
answers to the same business questions.
- Limited analysis by decision makers
and policy planners due to non-availability of sophisticated
tools and easily decipherable, timely and comprehensive
information.
A Data Mart may be viewed as a subset
of a Data
Warehouse dealing with data restricted to a specific
department, business process or section of the enterprise.
C-DAC has developed
a prototype Data Mart for the Reserve Bank of India (RBI),
which is the central bank of India. It is used for the purposes
of trend analysis and forecasting of various banking variables
& macro-economic indicators, which facilitate planning and
policy formulation more effectively and efficiently.
Salient Features:
- Houses certain banking statistics
data of all the Nationalized, Commercial and Co-operative
Banks in India
- Used for Trend analysis and Forecasting
of various banking variables & macro-economic indicators
- Enables the top management to
analyze the data to aid in framing credit and monetary
policies and strategic planning.
- Used by the Internal Departments
of the RBI such as DBOD, DEAP, CPC for performing various
analysis which help in regulating the Indian Economy and
for Parliamentary queries.
- Used by various External Agencies
such as the Bureau of Economics and Statistics, State
Governments, Central Statistical Organization.

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