introduccion a BI

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2.  The Business Pressures-Responses-Support Model
 The business environment
 Organizational responses: be reactive, anticipative,
adaptive, and proactive
 Computerized support
▪ Closing the Strategy Gap One of the major objectives of BI is to
facilitate closing the gap between the current performance of an
organization and its desired performance as expressed in its
mission, objectives, and goals and the strategy for achieving them
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4.  business intelligence (BI)
A conceptual framework for decision support.
It combines architecture, databases (or data
warehouse), analytical tools and applications
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5.  business intelligence (BI)
 is an umbrella term that combines architectures,
tools, databases, applications, and methodologies.
 Its major objective is to enable interactive access
(sometimes in real time) to data, enable
manipulation of these data, and to provide
business managers and analysts the ability to
conduct appropriate analysis
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7.  The Origins and Drivers of Business
Intelligence
 Organizations are being compelled to capture,
understand, and harness their data to support
decision making in order to improve business
operations
 Managers need the right information at the right
time and in the right place
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8.  BI’s Architecture and Components
 Data Warehouse
 Business Analytics
▪ Automated decision systems
 Performance and Strategy
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10.  BI’s Architecture and Components
 Data Warehouse
▪ Originally, included historical data that were organized
and summarize, so end users could easily view or
manipulate data and information
▪ Today, some data warehouses include current data as
well, so they can provide real time decision support
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11.  BI’s Architecture and Components
 Data Warehouse
▪ Create a database infrastructure that is always online
and that contains all the information from the OLTP
systems, including historical data, but reorganized and
structured in such a way that it is fast and efficient for
querying, analysis, and decision support
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12.  BI’s Architecture and Components
 Business Analytics
▪ Reporting and queries
▪ Advanced analytics
▪ Data, text and Web mining and other sophisticated
mathematical and statistical tools
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13.  BI’s Architecture and Components
 Data Mining
A class of information analysis based on databases
that looks for hidden patterns in a collection of data
which can be used to predict future behavior
A process of searching for unknown relationships or
information in large databases or data warehouses,
using intelligent tools such as neural computing,
predictive analytics techniques, or advanced
statistical methods
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14.  BI’s Architecture and Components
 business (or corporate) performance
management (BPM)
A component of BI based on the balanced
scorecard methodology, which is a framework for
defining, implementing, and managing an
enterprise’s business strategy by linking
objectives with factual measures
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15.  BI’s Architecture and Components
 User Interface: Dashboards and Other
Information Broadcasting Tools
▪ Dashboards
A visual presentation of critical data for executives to
view. It allows executives to see hot spots in seconds
and explore the situation
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16.  Styles of BI
▪ Report Delivery and Alerting
▪ Enterprise Reporting (dashboard, scorecard)
▪ Cube Analysis (Slice and Dice Analysis)
▪ Ad-hoc Query
▪ Statistics and Data Mining
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17. The Benefits of BI
 Time savings  Faster, more accurate reporting
 Single version of truth
 Improved strategies and  Improved decision making
plans  Improved customer service
 Improved tactical  Increased revenue
decisions
 More efficient processes
 Cost savings
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18.  The Business Value of BI
 How BI Can Help
▪ Assess their readiness for meeting the challenges posed
by these new business realities
▪ Take a holistic approach to BI functionality
▪ Leverage best practices and anticipate hidden costs
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19.  The Business Value of BI
 Key Issues and Framework for BI Analysis
▪ How can enterprises maximize their BI investments?
▪ What BI functionality do enterprises need, and what are
they using today?
▪ What are some of the hidden costs associated with BI
initiatives?
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20.  Intelligence Gathering
 In order to be useful in decision making and
improving the bottom line, the data must be:
▪ Cataloged
▪ Tagged
▪ Analyzed
▪ Sorted
▪ Filtered
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21.  online transaction processing systems (OLTP)
Systems that handle a company’s routine ongoing
business
 online analytic processing (OLAP)
An information system that enables the user, while
at a PC, to query the system, conduct an analysis,
and so on. The result is generated in seconds
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22.  Some Theories of BI
 A factory and warehouse
 The information factory
 Data warehousing and business intelligence
 Teradata advanced analytics methodology
 Oracle BI system
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23.  The information factory view
 Enterprise information factory as a way to describe
how companies conduct and organize BI efforts.
 A cornerstone component of that factory concept
is the DW
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24. An information factory has:
 Inputs  Processing of inputs
 Data sources  Analysis
 Acquisition  Data mining
 Storage  Outputs
 DW  Data delivery
 Data marts  BI applications
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26.  The Strategic Imperative of BI
 Barriers to entry of a new competitor are being
significantly diminished
 Because of the Web revolution and increasing
globalization, companies throughout the world are
challenging major players in industries
 The ability to deliver goods worldwide is making it easier
for potential competitors to get products and services to
more customers almost anywhere
 Companies are finding better or less expensive suppliers
all over the globe
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27.  Competitive Intelligence (CI)
 CI implies tracking what competitors are doing by
gathering material on their recent and in-process
activities
 Competitive strategy in an industry
▪ low-cost leader
▪ market niche
 Sustaining competitive advantage through
building brand and customer loyalty using BI
applications
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28.  The Typical BI User Community
 IT staff
 Power users
▪ a computer user who needs the fastest and most
powerful computers available
 Executives
 Functional managers
 Occasional information customers
 Partners
 Consumers
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29.  Real-time, On-Demand BI Is Attainable
 Developing or Acquiring BI Systems
 Justification and Cost/Benefit Analysis
 Security and Protection of Privacy
 Integration of Systems and Applications
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