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KNOWLEDGE MANAGEMENT & BI in banking

presented by:

ASHISH TOPPO

NIKHIL MALLVIYA

PRAJIT MOHANAN

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What is Business Intelligence?

A set of theories, methodologies, processes, architectures and technologies that

transform raw data into meaningful and useful information for business purposes.

Business intelligence can be defined as "a broad collection of software platforms,

applications, and technologies that aim to help decision makers perform more

effectively and efficiently" (Arnott, Gibson and Jagielska, 2004)

Business Intelligence (BI) is computer-based techniques used inidentifying, extracting, and analyzing internal business data.

Business intelligence aims to support better business decision-making by upper

management. It is also called a Decision Support System (DSS).

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The importance of BI

Allows organizations to get a more accurate and detailed

picture of what is going on in terms of business and

customers.

Brings visibility into the organization at granular levels

It allows organizations to review customer behavior

BI allows the users to transparently access and analyse any

type of data through applications that are designed to support

the core business processes

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APPLICATIONS OF BUSINESS

INTELLIGENCE IN BANKING INDUSTRY

Business Intelligence (BI) refers to various softwaresolutions, including technologies

1. Data warehouse-sequence or path analysis-Classification-clustering

-forecasting2. Online analytical processing (OLAP)3. Drilling down4. ETL Process:

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Knowledge Management

Organizations should record all of their experiences with

clients, but should also capture knowledge and expertise

gained in the organization

OLAP and data warehouses are not enough for managing

knowledge

Knowledge is expertise created in an organization

Knowledge management (KM): gathering, organizing,

sharing, analyzing, and disseminating knowledge to

improve an organizationsperformance

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Business intelligence starts with a data warehouse and query/reporting and analysis

tools for the purpose of measuring historical activity.

However over time, BI activities will expand outward to embrace other kinds of data

and business processes that currently fall within the domain of knowledgemanagement.

How BI and KM are related

Wisdom Review, Measure, Refine

Events

Experience

Operational

Systems

ExperienceAction

Plans

Knowledge

Information Data Warehouses

Rules and Models

Analytical Tools

ataInformation Data Warehouses

Analytical Systems

Information

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ICICI BANK AS AN EXAMPLE