Million Minds, Inc. Introduction to Million Minds, Inc. and Business Intelligence.

Introduction to Million Minds, Inc.Million Minds, Inc. and Business Intelligence

Copyrighted. Million Minds, Inc. 2005. 2

About About Million Minds, Million Minds, Inc. Inc. Our Services Our Services

What We Offer What We Offer

Section A


We are an OracleOracle Partner Partner.

We specialize in Oracle Products.

Our Expertise…

o Business Intelligence using OracleOracle Business Intelligence Discoverer. Business Intelligence Discoverer. OracleOracle Application Server Portal. Application Server Portal.

o ERP using OracleOracle Applications Applications..o Data Warehousing using OracleOracle Warehouse Builder Warehouse Builder..

Our consulting is very Economical and Cost Efficient.

We are backed by about Two Decades of Experience.

We possess State-Of-The-Art Infrastructure.

About Million Minds


What we can do & What we offer you ?

Our Infrastructure and Facilities

o We are equipped with Excellent Training Staff.

o We possess State-Of-The-Art Hardware Facility.

o Our Software is Latest and Up to Date.

o We are backed by over 17 Years of Field Experience.

What we offer you

o We provide Solid Training and Placement at an Excellent client location.

o We reward you with a Good Remuneration based on performance.

o We process Visas and Green Cards.

o We take care of your Health Insurance.


What you will be trained in ?

OracleOracle Business Intelligence Discoverer Business Intelligence Discoverer

Discoverer Discoverer PlusPlus

Discoverer Discoverer ViewerViewer

Discoverer Discoverer AdministratorAdministrator

Discoverer Discoverer DesktopDesktop

OracleOracle Application Server Portal Application Server Portal


Our Clients

Our Client Base


The concept of Database and The concept of Database and Database Management SystemDatabase Management System

Section B


The Concept of Database

Simply, a database is a computerized record keeping system.

More completely, it is a system involving

o Data

o The hardware that physically stores that data

o The software that utilizes the hardware's file system in order to

Store the data and

Provide a standardized method for retrieving or changing the data.

o The users who turn the data into information.


How is a Database made use of? Fig:1

Defines a structure for storing information

which typically get organized into tables.

Rows and Columns constitute a table.

Virtually anything can be stored in a

Database.

A “Business Logic” can be used to Pick,

Store and Retrieve Data using Database.

Most useful when “Common Data” needs to

be shared between various “Cross Platform

Applications”.

Enhances security to Data.


Transaction Transaction vsvs Analysis Analysis

Section C


Definition

Transaction is achieved by the concept called OLTP.

Analysis is achieved by the concept called OLAP.

Online Transaction Processing (OLTP) is driven by Operational Needs.

Online Analytical Processing (OLAP) is driven by Strategic Needs.

Collective OLAP is termed into one concept known as Business Intelligence.

Reference:Strategy: An elaborate and systematic plan of action. It is also highly important to or an integral part of a strategy or plan of

action.

Operations: A business especially one run on a large scale. It is also a planned activity involving many people performing various

actions.


Transactional Business Engines

Sample OLTP Applications

o Reservation systems

o Point of Sale

o Inventory control

o Automated tellers

o Manufacturing systems

OLTP Requirements

o Current data

o Rapid data update

o High availability


Types of OLTP Systems & OLTP Platforms

Online Transaction Processingo Relational Data Base

Management system (RDBMS).

o Oracle, SQL Server, DB2

o Hierarchical DBMS

o IMS

o Network DBMS

o IDMS

o Object Oriented DBMS

o Versant, Gemstone, Jasmine

Mainframe host systemso IMS/CICS, IDMS, DB2, Oracleo Mission critical, enterprise datao Legacy applicationso Most of the world’s existing

structured data

Client/server systemso DB2, Oracle, Access, SQL servero Departmental or small business datao Normalized designo 12% world’s data (Celko 4/2000)

OLTP Systems OLTP Platforms


Online Analytical Processing (OLAP)

OLTP systems are not easy to queryo Ad hoc queries do bad things to transactional systems and its performance.o This problem is solved by ETL process and OLAP.o ETL stands for Extract, Transform and Load.

Data is Extracted from various sources. Extracted Data is Transformed into related information for advanced BI

processing. Finally it is Loaded into destinations as Tables or Materialized Views.

OLAP is designed from the start to be queriedo OLAP starts from where ETL process ends. o It is a group of technologies and applications that collect, manage, process,

and present multidimensional data for analysis and management purposes, making use of the information from ETL processes output.

o It is designed in such a way that the results of the analysis done are presented quickly, and within the same application or a closely linked application.


OLAP and Materialized Views

OLAP effectively makes use of ETL process output which is mostly of Materialized Views.

Materialized Views are Database object(s) that contains the results of a query. Basically it is a process by which necessary Data is collected from various remote tables and stored into one local area.

By this process there is a quick availability of Data for fast BI processing and high throughput and since Materialized Views are read-only, the original Data in the remote system is safe from changes.

Materialized Views can also be synchronized periodically with the main Data, thus keeping them updated. By this process your BI reports are also kept updated.

Since Materialized Views are extracted Data from an Organization’s production Database, they do not make active use of the production Database which is always used by OLTP systems. And since OLAP systems make use of Materialized Views alone, the Database performance is maximized.


Difference Between OLTP and OLAP Fig:2


Understanding Business IntelligenceUnderstanding Business Intelligence

Section D


Definition

o It is a term representing a collection of processes, tools and technologies.

o BI methodology helps in better organization and analysis of data into useful collection of information facilitating better action towards organizational profit and goals.

o It helps increasing profit by improving productivity, sales and services.

o It is about turning a raw data into useful information by analyzing and rearranging them based on their inter-relationship.

What is Business Intelligence ?


Advantages of Business Intelligence

Multidimensional.o Analyzes values from many perspective.

Consistently Fast.o Pre-aggregation of data is performed which helps in faster results in predictable time. o This can be achieved by…

Pre-aggregating relational tables or Creating a highly compressed multidimensional cube.

Intuitive Interface.o Skilled analysts and non-technical users alike can quickly manipulate and analyze data and generate reports.

Complex Calculations.o Complex cross-dimensional calculations made easy using hierarchies.


Why do you need Business Intelligence ?

Business Intelligence describes an enterprise’s ability to

o Gathering data from multiple sources for the purpose of business progression and analysis.

o Analyzing that information to develop insights and understanding.

o Leading to improved decision making.

o Data Information Knowledge Rules Action Reiteration.

o Accessing and exploring information (often contained in a Data Mart/Data Warehouse).


Data…Data…Data…everywhere Data…Data…Data…everywhere What is the use of Data ?What is the use of Data ?

Section E


How Data is important ?

Raw Data is an important asset using which one can find solutions

to many of an organization's critical questions like...

o What was the net profit for a particular product last year?

o What will be sales this year?

o What are the key factors to be focused this year in order to increase the sales?

This asks for a well planned BI system which leads to these

solutions.


Warehouse And Marts Defined

Data Warehouseo A Database specifically structured for query and analysis (Materialized Views).

o Data in a Data Warehouse are usually less detailed and longer lived than data from an OLTP system.

Data Marto A subset of the contents of a Data Warehouse

o A Data Mart tends to contain data focused at the department level, or on a specific business area.


Structure of Data Warehousing Fig:3


Another View of Data Warehousing Structure Fig:4 and Fig:5


More into Business IntelligenceMore into Business Intelligence

Section F


Business Intelligence Distribution

Different categories of Business Intelligence userso Report producerso Report consumers

Different methods of deliveryo Printed output, email, web, intranet, desktop applications

Different types of reportso Operational, line of business reportso High level analytic & forecasting reports

Different types of accesso Static, distributed reportso Ad-hoc data access


Features of Good BI Tool Fig:6

1. Better integration with other

systems

Integration with third party tools to provide flexible campaign management using BI methods.

2. Improved throughput

Reduced latency of information updates by moving beyond batch processing to near real time / real time updating and scoring

Improved timeliness of analysis and reaction time leading to improved interactions / relationships with the customer.

3. Automation of key analytical

methods - Profile Engine

Profile engine representing a “storage box” of models Proprietary statistical modeling / predictive segmentation

capabilities.

4. Expanded channel

integration capabilities

BI action pushed through multiple channels including mail, email, web, operational touch points, etc.

5. Alerts and Detects Event detection methods for highlighting latent findings and for

triggering action.

6. Improved user experience

Facilitates the attachment of web-based information dashboards designed for executive and non-technical entities to share key insights, trends, actionable metrics, program results, etc.


Top Business Intelligence Companies

There are many top companies who provide Business Intelligence tools

like...

o Oracle Corporation

o Cognos Incorporated

o Business Objects

o IBM Informix

o Teradata and many more…

We are going to use Oracle Business Intelligence.


Why Oracle Business Intelligence?

Very High Business Standard that Oracle maintains. Oracle has been specializing on BI for many years. High support for interconnection between Databases and Oracle BI tools. (Oracle holds a huge Database market which also makes the usage of Oracle BI tools with Oracle Database much simpler and faster.)

Data for Oracle BI Solutions can be extracted from various sources. (Oracle Database, DB2, SQL Server, Sybase, Informix, Rdb, DRDA, ODBC and many more…)

Global Web Accessibility through any standard Browser. Personalization in Portal Pages based on role in the organization (e.g.: Sales, Administration etc). Oracle BI is very economical when compared with other tools of this kind. Oracle BI is Java Based, thus Platform Independent. Modularized Tool Sets for easy development and deployment. Ad-Hoc reporting of analytics.


Frequently used Reports

Business intelligence provides answers to basic questions such as…

o What are my top five products?o How is my sales this year compared to the sales last year?o What is the 3-month moving average of sales?o What is my sales in a particular region?o What can we predict for sales next quarter?o What factors can we alter to improve the sales forecast?o How will our margins improve if we run this promotion?

Business intelligence also enables

o Access to summary historical and current datao Calculations on the datao Time-series analysiso Forecastingo Modelingo What-if analysis


Designing Reports and Visuals

Displaying the results may be the biggest political problem

Often users don’t accept the data because it looks different than their old format

Drawing the line at what is displayed in red vs. green vs. yellow can be tough


Dashboards And Portal

Dashboard is a graphical representation of key business performance indicators

o Typically symbols such as gauges or up and down arrows

Portal provides a customized view of the business information a user wants

o Often includes a dashboard of some type


Few Sample Reports Few Sample Reports

Section G


BI Reports on Presentation

Sample Reports

o Sample Cube for Business Intelligence Analysis

o Net Revenue

o Rank By Country.

o Rank By Customer.

o Revenue by Product category – A Dashboard


Sample Cube for Multidimensional Analysis Fig:7


Net Revenue Fig:8 and Fig:9

Revenue generated on basis of

• Fiscal Year

• Fiscal Quarter

• Fiscal Month

on one report and a graph.


Rank by Country Fig:10 and Fig:11

This section shows top five and bottom five

countries on basis of net revenue generated.

These are shown in two variants.

• A two dimensional table.

• 3D-Horizontal Bar Graph.


Rank by Customers Fig:12 and Fig:13

This section shows top ten and bottom ten

customers on basis of net revenue generated.

These are shown in two variants.

• A two dimensional table.

• 2D-Horizontal Bar Graph.


This analytics section displays Net Revenue

on Sales for fiscal years 2000, 2001 and

2002 in three variants

• Tabular Format

• Graphical Format

• Gauges (Americas Only)

Tables and Bar Graphs show Net Revenue

on Sales for all regions

Gauges are analytical tools that can be used

to display rapid changes in data on a

metrical format. In this case only Americas

are taken for Gauge Analysis.

Gauges are fast, clear and best for indices.

Net Revenue by Product Category Fig:14, Fig:15 and Fig:16


Section H

What Various Researches have to say…What Various Researches have to say…


Gartner Clients Consider Business Intelligence to Be a Major Priority. 15 November 2005

"Based on data from a recent Gartner survey, business intelligence jumped from the No. 10 slot to the second-highest priority on CIO's' agendas. In 2005, businesses using or planning to use BI software expect to spend approximately 5 percent to 10 percent of their software budgets on BI.”

BI Software Becoming a Top Priority for CIO’s. 2 March 2005

"The worldwide business intelligence tools software market is expected to see a five-year compound annual growth of 7.3 percent through 2009.”

BI and DW Services Worldwide Forecast, 2002-2007. 26 November 2003

"The business intelligence and data warehousing opportunity for consulting and systems integration companies continues to stay hot, growing at a compound annual growth rate of 8.9 percent from 2002 through 2007.”

Gartner


Business Intelligence Driven By Compliance, Standardization, And Performance Initiatives. April 5, 2005

"The market for business intelligence (BI) reporting and analysis solutions exceeded $5.5 billion in 2004, up from $5.3 billion in 2003. Reporting and analysis is essential to addressing compliance and measuring corporate performance, but standardizing on a single BI platform for all reporting needs is still a few years away. Most Global 2,000 companies have between five and 15 separate reporting and analysis solutions in use, placing a strain on IT resources and calling into question the integrity of the data in any one report. Consequently, the market is transitioning from departmental tools to enterprise solutions."

Forrester


Business Intelligence Market Growth 2005 to 2008. BI Market Size (USD Millions) Fig:17


“How many BI reporting and analysis solutions are currently being used in your company across all departments and divisions?”

A Question to 68 end users in North America and Europe Fig:18

About 90% use Business Intelligence

in their company in any of their

department.

Random classification of companies.


Approach BI platforms as you would any enterprise-class application.

Begin the long process of standardizing now, but be very deliberate in your approach.

Look for opportunities to embed BI within existing processes at the operational and

tactical levels.

Build your BI strategy around deploying BI applications to large audiences of information

consumers within the context in which they do their jobs.

Research Inference


Our Suggestion to you.Our Suggestion to you.

Section I


What it means to you?

The BI industry is strong and growing stronger.

Companies will deploy BI to many more end users via process-centric

applications as a trend of consumers replacing producers as the primary focus.

The BI vendor landscape is changing dramatically with a greater emphasis

by the Database and Application platform vendors.

Standardizing on a single BI platform will be easier and much more

profitable to both Organizations, Researchers and Developers.

Business Intelligence will last very much longer than various other business

development forces.


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Million Minds, Inc. Introduction to Million Minds, Inc. and Business Intelligence.

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