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NIIT

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SNS ROUP

Presented By:-

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Business Intelligence is a technology for gathering, storing,

analyzing & providing access to data to help enterprise users

make better business decisions.

It is the processes that help us to change data into

information, information into knowledge and knowledge into

plans that guide organization.

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Data Mining

Data Warehouse

Data Analysis

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Data mining is the extraction of hidden predictive

information from large database.

Data mining software is one of a number of analytical tools for

analyzing data.

Data mining is a powerful new technology to help companies

to extract important information from their data warehouse.

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Nowadays data mining is primarily used by companies with a

strong consumer focus - retail, financial, communication, and

marketing organizations.

It enables these companies to determine relationships among

"internal" factors such as price, product positioning, or staff

skills, and "external" factors such as economic indicators,competition, and customer demographics.

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Extract

and load

operationdata .

Analyze the

data byapplication

software.

Provide

data to

business .

Store and

manage

the data

in a

multidime

nsional

database

system.

Present

the data

in a useful

format,such as a

graph or

table.

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Data mining is having lot of importance because of its huge

applicability.

It is being used increasingly in business applications for

understanding and then predicting valuable data.

Data Mining is used in several applications like consumer

behavior, direct marketing etc.

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A data warehouse is a place where data is stored for analysis

and security purposes.

A data warehouse is either a single computer or many

computers (servers) tied together to create one giant computer

system.

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Online Transaction Processing(OLTP): -

It is a data warehouse model, is built for speed and ease of use.

Online Analytical Processing(OLAP): -

It is more difficult to use and adds an extra step of analysis

within the data.

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Using the data in a warehouse can help user locate trends and

focus on decision making.

Data warehouses also increase the consistency of the data .

Before loading data into the data warehouse, inconsistencies

are identified and resolved. This greatly simplifies reportingand analysis.

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Data warehouse is time consuming to create.

It is need to create a cohesive.

Over their life, data warehouses can have high costs.

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Decision support

Trend analysis

Financial forecasting

Insurance fraud analysis

Call record analysis

Logistics and Inventory management

Agriculture

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It is a process of inspecting, cleaning, transforming, and

modeling data with the goal of highlighting useful information,

suggesting conclusions, and supporting decision making.

Business intelligence covers data analysis that relies heavily on

aggregation, focusing on business information.

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Data

Analysis

EDA CDA

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DataCleaning.

RunningAnalysis

PresentingResults

ProtectingFiles

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Data

Analysis

Reductive

Analysis

Mathematical

Analysis

Visual

Analysis

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Thanks to you all