Business intellegence erp

12
BUSINESS INTELLEGENCE BY: SHIVALI MBA 3A

Transcript of Business intellegence erp

BUSINESS INTELLEGENCE

BY: SHIVALI

MBA 3A

ORIGIN

Originally a term coined by the Gartner Group in 1993, Business Intelligence (BI) is a broad range of software and solutions aimed at collection, consolidation, analysis and providing access to information that allows users across the business to make better decisions.

 The technology includes software for database query and analysis, multidimensional databases or OLAP tools, data warehousing and data mining, and web enabled reporting capabilities.

 Applied across disciplines but especially in Customer Relationship Management (CRM), Supply Chain Management (SCM) Enterprise Resource Planning

Provide better, faster and more accessible reports

BUSINESS INTELLIGENCE/BUSINESS ANALYTICS

Business intelligence (BI)

Also referred to as business analytics

A range of different applications and technologies used to extract and analyze large amounts of data to aid in decision making

Includes data-mining tools and querying tools

Often interactive and visual

There has been significant growth in the BI market in recent years

3

Why BI?The Five Questions…

• What happened?• What is happening?• Why did it happen?• What will happen?• What do I want to happen?

ERP CRM SCM

Past

Present

Future

Data

STRUCTURE

STAGES IN BUSINESS INTELLIGENCE

Database systems and database integration

Data warehousing, data stores and data marts

Enterprise resource planning (ERP) systems

Query and report writing technologies

Data mining and analytics tools

Decision support systems

Customer relation management software

Product lifecycle and supply chain management systems

TECHNOLOGIES SUPPORTING BI

BI careers cross over all industries:

BI solution architects and integration specialists

Business and BI analysts

BI application developers and testers

Data warehouse specialists

Database analysts, developers and testers

Database support specialists

EXAMPLES OF BI CAREERS

Understanding of the flow of information throughout the organization

Ability to effectively communicate with and get support from technology and business specialists

Ability to understand the use of data and information in each organizational units

Ability to present data in a user-centric framework

Ability to understand the decision making process and to focus on business objectives

Ability to train business users in information management and interpretation

CRITICAL BUSINESS AND CUSTOMER SKILLS AND KNOWLEDGE

Role Based Dashboards Analytic Workflow Guided Navigation Security / Visibility Alerts & Proactive Delivery

Logical to Physical Abstraction Layer Calculations and Metrics Definition Visibility & Personalization Dynamic SQL Generation

Highly Parallel Multistage and Customizable Deployment Modularity

Abstracted Data Model Conformed Dimensions Heterogeneous Database support Database specific indexing

ORACLE BI APPLICATIONS ARCHITECTURE

Ad

min

istr

atio

n

Me

tad

ata

Oracle BI Presentation Services

Dashboards by Role

Reports, Analysis / Analytic Workflows

Metrics / KPIs

Logical Model / Subject Areas

Physical Map

Oracle BI Server

Direct Access to Source Data

Data Warehouse /Data Model

ETL

Load Process

Staging Area

Extraction ProcessD

AC

Federated Data Sources

SiebelOracle SAP R/3 PSFT EDW

Other

SELECTED KEY ENTITIES OF BUSINESS ANALYTICS WAREHOUSE

Conformed Dimensions

Customer Products Suppliers Internal

Organizations Customer Locations Customer Contacts GL Accounts Employee Sales Reps Service Reps Partners Campaign Offers Cost Centers Profit Centers

Conformed Dimensions

Customer Products Suppliers Internal

Organizations Customer Locations Customer Contacts GL Accounts Employee Sales Reps Service Reps Partners Campaign Offers Cost Centers Profit Centers

Sales Opportunities Quotes Pipeline

Order Management Sales Order Lines Sales Schedule Lines Bookings Pick Lines Billings Backlogs

Marketing Campaigns Responses Marketing Costs

Supply Chain Purchase Order Lines Purchase Requisition Lines Purchase Order Receipts Inventory Balance Inventory Transactions

Finance Receivables Payables General Ledger COGS

Call Center ACD Events Rep Activities Contact-Rep Snapshot Targets and Benchmark IVR Navigation History

Service Service Requests Activities Agreements

Workforce Compensation Employee Profile Employee Events

Pharma Prescriptions Syndicated Market Data

Financials Financial Assets Insurance Claims

Public Sector Benefits Cases Incidents Leads

Modular DW Data Warehouse Data Model includes:

~350 Fact Tables ~550 Dimension Tables~5,200 prebuilt Metrics(2,500+ are derived metrics)~15,000 Data Elements

http://www.spscc.ctc.edu/academics/programs/business-intelligence/class-description.html

http://bellevuecollege.edu/business/info_bus_intelligence.html

http://www.austincc.edu/techcert/microsoftbusintell.php

http://www.sju-online.com/programs/business-intelligence-curriculum.asp

http://www.setfocus.com/MastersProgram/curriculum_businessintelligence.aspx

http://www.crmsoftware360.com/crmsoftware.htm

REFERENCES