Business Intelligence Overview

Business Intelligence Overview

What is Business Intelligence?

• Business Intelligence is the processes, technologies, and tools that help us change data into information, information into knowledge and knowledge into plans that guide organization

• Business Intelligence is a broad category of applications and technologies for gathering, storing, analyzing, and providing access to data to help clients make better business decisions

• Business Intelligence is a combination of the tools and systems involved in an enterprise's strategic planning that aid in its analysis

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History of Business Intelligence?

• 1958: The 1. use of BI by IBM Researcher Hans Peter Luhn in "A Business Intelligence System“

• 1989: Gartner Research - Howard Dresner - "father of BI" – first coined the term as "a broad category of software and solutions forgathering, consolidating, analyzing and providing access to data in away that lets enterprise users make better business decisions“

• 1993: Micro Strategy 1. BI SW Product: EIS Toolkit• 1997s: BI widely used• 2010-2013: SaaS BI growth +22%History





Evolution of Business Semantics

User Evolution

Vendor Evolution 1990

DataWarehousing

2000

BusinessIntelligence

PerformanceManagement

Analytics

2010





Business Intelligence Process

Data Visualization

Data Mining

Data Warehouse

Data Exploration

Data Sources

Decision Making





Business Intelligence Components





Data Warehouse

• Data warehousing is the process of constructing and using data warehouses

• A decision support database that is maintained separately from the

organization’s operational database

• A consistent database source that bring together information from multiple

sources for decision support queries





OLTP - Online Transaction Processing• Online transaction processing, or OLTP, is a class of information systems that

facilitate and manage transaction oriented applications, typically for data entry

and retrieval transaction processing

• Online transaction processing increasingly requires support for transactions that

span a network and may include more than on e company. For this reason, new

online transaction processing software uses client or server processing and

brokering software that allows transactions to run on different computer

platforms in a network





OLAP - Online Analytical Processing• Online transaction processing, or OLTP, is a class of information systems that

facilitate and manage transaction oriented applications, typically for data entry

and retrieval transaction processing

• Online transaction processing increasingly requires support for transactions that

span a network and may include more than on e company. For this reason, new

online transaction processing software uses client or server processing and

brokering software that allows transactions to run on different computer platforms

in a network





Data Mining & its Process • Data Mining is the computational process of discovering patterns in large data

sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems

Pre Processing

Before data mining algorithms can be used, a target data set must be assembled

Data Mining

• Involves Anomaly Detection

• Clustering• Classification• Regression• Summarizatio

n

Result Validation

The final step of knowledge discovery from data is to verify that the patterns produced by the data mining algorithms occur in the wider data set





Presentation Layer ReportingAnalysis

Business Intelligence Layers

Presentation Layer Dara Warehouse

Presentation Layer

Finance Dept, HR Dept. CRMOSExcel

The final step of knowledge discovery from data is to verify that the patterns produced by the data mining algorithms occur in the wider data set





Documents

Business Intelligence Overview