Transcript Document

Introduction to Million Minds, Inc. and
Business Intelligence
Section A
About Million Minds, Inc.
Our Services
What We Offer
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About Million Minds
 We are an Oracle Partner.
 We specialize in Oracle Products.
 Our Expertise…
o
o
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Business Intelligence using
 Oracle Business Intelligence Discoverer.
 Oracle Application Server Portal.
ERP using Oracle Applications.
Data Warehousing using Oracle 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.
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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.
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What you will be trained in ?
Oracle Business Intelligence Discoverer
Discoverer Plus
Discoverer Viewer
Discoverer Administrator
Discoverer Desktop
Oracle Application Server Portal
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Our Clients
 Our Client Base
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Section B
The concept of Database and
Database Management System
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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.
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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.
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Section C
Transaction vs Analysis
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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.
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Transactional Business Engines
 Sample OLTP Applications
 OLTP Requirements
o Reservation systems
o Current data
o Point of Sale
o Rapid data update
o Inventory control
o High availability
o Automated tellers
o Manufacturing systems
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Types of OLTP Systems & OLTP Platforms
OLTP Systems
OLTP Platforms
 Online Transaction Processing  Mainframe host systems
o 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
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IMS/CICS, IDMS, DB2, Oracle
Mission critical, enterprise data
Legacy applications
Most of the world’s existing
structured data
 Client/server systems
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DB2, Oracle, Access, SQL server
Departmental or small business data
Normalized design
12% world’s data (Celko 4/2000)
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Online Analytical Processing (OLAP)
 OLTP systems are not easy to query
o 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 queried
o 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.
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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.
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Difference Between OLTP and OLAP Fig:2
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Section D
Understanding Business Intelligence
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What is Business Intelligence ?
 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.
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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.
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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).
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Section E
Data…Data…Data…everywhere
What is the use of Data ?
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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.
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Warehouse And Marts Defined
 Data Warehouse
o 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 Mart
o 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.
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Structure of Data Warehousing Fig:3
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Another View of Data Warehousing Structure Fig:4 and Fig:5
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Section F
More into Business Intelligence
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Business Intelligence Distribution
 Different categories of Business Intelligence users
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Report producers
Report consumers
 Different methods of delivery
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Printed output, email, web, intranet, desktop applications
 Different types of reports
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Operational, line of business reports
High level analytic & forecasting reports
 Different types of access
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Static, distributed reports
Ad-hoc data access
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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.
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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.
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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.
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Frequently used Reports
 Business intelligence provides answers to basic questions such as…
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What are my top five products?
How is my sales this year compared to the sales last year?
What is the 3-month moving average of sales?
What is my sales in a particular region?
What can we predict for sales next quarter?
What factors can we alter to improve the sales forecast?
How will our margins improve if we run this promotion?
 Business intelligence also enables
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Access to summary historical and current data
Calculations on the data
Time-series analysis
Forecasting
Modeling
What-if analysis
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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
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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
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Section G
Few Sample Reports
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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
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Sample Cube for Multidimensional Analysis Fig:7
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Net Revenue Fig:8 and Fig:9

Revenue generated on basis of
• Fiscal Year
• Fiscal Quarter
• Fiscal Month
on one report and a graph.
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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.
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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.
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Net Revenue by Product Category Fig:14, Fig:15 and Fig:16
 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.
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Section H
What Various Researches have to say…
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Gartner
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.”
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Forrester
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."
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Business Intelligence Market Growth 2005 to 2008.
BI Market Size (USD Millions) Fig:17
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A Question to 68 end users in North America and Europe Fig:18
“How many BI reporting and analysis solutions are currently being
used in your company across all departments and divisions?”
 About 90% use Business Intelligence
in their company in any of their
department.
 Random classification of companies.
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Research Inference
 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.
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Section I
Our Suggestion to you.
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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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Questions?
We have just finished …
Your Questions
!!! Please !!!
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