1. Presented By:
Ayan Chatterjee
Ayush Janmeja
Debabrata Kar
Girish Bhatia
Hardik Roy
Kallol Kumar Sarkar

2.  What is Business Intelligence?
 Why BI?
 The characteristics of a Business intelligence
 Benefits
 Limitation
 Examples
 Significance
 Future Prospects

3. In 1989
Howard Dresner
a Research Fellow
at Gartner Group
popularized "BI"
as an umbrella term
to describe a set of
concepts
and methods to improve
business decision-making
by using fact-based
support systems

4.  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
 Technologies for gathering, storing,
analyzing and providing access to data to
help enterprise users make better business
Decisions

5. Make more informed business decisions:
 Competitive and location analysis
 Customer behavior analysis
 Targeted marketing and sales strategies
 Business scenarios and forecasting
 Business service management
 Business planning and operation optimization
 Financial management and compliance

7. BI system

9.  Single point of access to information
 Timely answers to Business questions
 Using BI in all Departments of an organization

10.  Improve Operational efficiency
 Eliminate report backlog and delays
 Find root causes and take action
 Negotiate better contracts with suppliers and customers
 Identify wasted resources and reduce inventory costs
 Sell information to customers, partners, and suppliers
 Leverage your investment in your ERP or data warehouse
 Improve strategies with better marketing analysis
 Give users the means to make better decisions
 Challenge assumptions with factual information

11.  Very high software cost.
 Expensive and time consuming training.
 A wide Variety of technology experts.
 Extensive system upgrade and maintenance.
 Movement of data between disparate data
source.
 Queries done out of BI systems can be
cumbersome and time-consuming to run for
end users

12. Page Effectiveness Report
Percentage of visits clicking on different links
14% 3% 2% 8% 2% 13% 9% 0.6% Top Menu 6%
3%
2% 0.3% 2%
2%
18% of visits exit at the welcome page Any product link 7%

14.  Today's exciting BI market is ripe with opportunities to hit your
strategic business targets.
 Gaining market share, keeping customers and controlling costs
remain key objectives. Mid-market executives and big corporate
department heads rush to cost effectively meet these complex
needs. How? Through improved use of their existing database
systems.
 CFOs require 'business intelligence' systems that display accurate
SKU or customer-level P&Ls, permitting reliable channel and
store comparisons over time. Improved forecasts are vital, too!
 Data warehousing and analytical skills are combined with an
understanding of industry issues, as we refine and implement
your vision.
 According to Gartner survey of 1,400 CIOs, business intelligence
was ranked the top technology priority surpassing security.
 The BI and analytics market is currently valued at $8.5 Billion and
is expected to grow to $13 Billion over the next five years

16.  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

17.  Knowledge of database systems and data
warehousing technologies
 Ability to manage database system
integration, implementation and testing
 Ability to manage relational databases and
create complex reports
 Knowledge and ability to implement data and
information policies, security requirements,
and state and federal regulations

18.  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

19.  Basics of data warehousing design and
management
 Data warehouse architectures
 Data marts and data stores
 Data structures and data flow
 Dimensional modeling
 Extract, clean, conform and deliver
 Server management tools to package,
backup and restore
 Database server activity monitoring and
performance optimization

20. Data mining: the extraction of predictive
information from large databases.
 Data trend, connection and behavior pattern
analysis
 Data quality
 Data mining tools
 Predictive and business analytics
 Descriptive and decision models
 Statistical techniques and algorithms

21.  Data representations
 Information graphics
 Data representation techniques and tools
 Visual representation – trends and best
practices
 Interactivity in data representation
 Tools and applications
 The user perspective on information
presentation

22.  Capturing and documenting the business
requirements for BI solution
 Translating business requirements into
technical requirements
 BI project lifecycle and management
 Key Performance Indicators (KPIs), actions,
and stored procedures
 User education and training
 Data-based decision making
 Effective communication and consultation
with business users

23.  Business Intelligence (BI) Specialist works
with business users to obtain data
requirements for new analytic applications,
design conceptual and logical models for the
data warehouse and/or data mart and
communicate physical designs to the
database group. The BI specialist also
develops processes for capturing and
maintaining metadata from all data
warehousing components.

24.  Business Intelligence Developer is responsible for
designing and developing Business Intelligence solutions
for the enterprise. The Developer works on-site at the
corporate head quarters. Key functions include designing,
developing, testing, debugging, and documenting extract,
transform, load (ETL) data processes and data analysis
reporting for enterprise-wide data warehouse
implementations. Responsibilities include: working closely
with business and technical teams to understand,
document, design and code ETL processes; working
closely with business teams to understand, document and
design and code data analysis and reporting needs;
translating source mapping documents and reporting
requirements into dimensional data models; designing,
developing, testing, optimizing and deploying server
integration packages and stored procedures to perform all
ETL related functions; develop data cubes, reports, data
extracts, dashboards or scorecards based on business
requirements.

25.  The Business Intelligence Report Developer is
responsible for developing, deploying and supporting
reports, report applications, data warehouses and
business intelligence systems. Primary responsibilities
include creating and automating quality control processes
and methods, providing maintenance and enhancement of
data warehouse reports, creating ad hoc data warehouse
queries, solving data related reporting issues and
documenting all reports created. The report developer
must have experience in user facing roles (e.g. gathering
requirements, establishing project objectives, leading
meetings) and in developing, selecting and conducting
user training as needed. The Developer also participates
in all aspects of data warehouse projects including
conceptualization, design, construction, testing,
selection, deployment and post-support implementation.

26.  A hotel franchise uses BI analytical applications to compile statistics on
average occupancy and average room rate to determine revenue
generated per room. It also gathers statistics on market share and data
from customer surveys from each hotel to determine its competitive
position in various markets. Such trends can be analyzed year by year,
month by month and day by day, giving the corporation a picture of how
each individual hotel is faring.
 A bank bridges a legacy database with departmental databases, giving
branch managers and other users access to BI applications to determine
who the most profitable customers are or which customers they should
try to cross-sell new products to. The use of these tools frees information
technology staff from the task of generating analytical reports for the
departments and it gives department personnel autonomous access to a
richer data source.
 A telecommunications company maintains a multi terabyte decision-
support data warehouse and uses business intelligence tools and utilities
to let users access the data they need without giving them carte blanche
to access hundreds of thousands of mission-critical records. The tools set
boundaries around the data that users can access, creating data "cubes"
that contain only the information that's relevant to a particular user or
group of users.

27. changing trends in market
share
changes in customer
behavior and spending
patterns
customers' preferences
company capabilities
market conditions

28. Having access to timely and accurate information
is an important resource for a company,
which can expedite decision-making
and improve customers' experience.
In the competitive customer-service sector,
companies need to have accurate, up-to-date information
on customer preferences,
so that the company can quickly adapt to their changing
demands.
BI enables companies to gather information
on the trends in the marketplace and
come up with innovative products or services
in anticipation of customer's changing demands.

29. BI applications can also help managers
to be better informed about actions that a
company's competitors are taking.
BI systems can also be designed to provide
managers with information on the state of
economic trends or marketplace factors,
or to provide managers with in depth
knowledge about the internal operations
of a business.

30. BI can be used to help analysts and
managers
determine which adjustments are most
likely
to respond to changing trends.
BI systems can help companies develop a
more consistent, data-based decision
making process for business decisions,
which can produce better results than
making business decisions by "guesswork."

31. BI can help companies share selected strategic
information
with business partners.
Some businesses use BI systems
to share information with their suppliers like…..
inventory levels
performance metrics
other supply chain data

32. BI applications can enhance communication
among departments, coordinate activities,
and enable companies to respond more
quickly to changes (e.g., in financial
conditions, customer preferences, supply
chain operations, etc.).
When a BI system is well-designed and properly
integrated into a company's processes and
decision-making process, it may be able to
improve a company's performance.

33.  Through 2012, more than 35 % of the top 5,000 global companies will
regularly fail to make insightful decisions about significant changes in
their business and markets
 By 2012, business units will control at least 40% of the total budget for
BI
 By 2010, 20% of organizations will have an industry-specific analytic
application delivered via software as a service (SaaS) as a standard
component of their BI portfolio
 In 2009, collaborative decision making will emerge as a new product
category that combines social software with BI Platform capabilities
 By 2012, one-third of analytic applications applied to business
processes will be delivered through coarse-grained application
mashups