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Introduction to Business Intelligence
- What is BI?
- 1) Combines architectures,
tools, applications, and
methodologies
- 2) Transforms data, to
information (and
knowledge) to decisions, and
finally to action
- What is the objective?
- Enable easy access to
data (and models) for
conducting analysis by
business managers
- Enable easy access to
data (and models) for
conducting analysis by
business managers
- 1) Combines architectures,
tools, applications, and
methodologies
- The BI System
- Enhanced with additional
visualisations, alerts, and
performance measurement
capabilities (CPI)
- Objective of BI
System:
- 1) To facilitate closing the gap
between organisation's Current
Performance and Desired
Performance, as expressed in its
mission, objectives, and goals, and the
strategy to achieve them
- 2) Provide right information
at the right time and place
- 1) To facilitate closing the gap
between organisation's Current
Performance and Desired
Performance, as expressed in its
mission, objectives, and goals, and the
strategy to achieve them
- Objective of BI
System:
- Enhanced with additional
visualisations, alerts, and
performance measurement
capabilities (CPI)
- Business Pressure - Responses - Support
Model
- Business Pressures result of
today's competitive business
climate Eg. Customer Demand
- Responses to overcome
pressure Eg. Increased
productivity
- Support to better facilitate the
process Eg. Analyses, Predictions,
Decisions
- Business Pressures result of
today's competitive business
climate Eg. Customer Demand
- Components in a BI Architecture
- 1) Data Warehouse with
its source data
- Provide real-time decision
support by accessing to current
data
- Provide real-time decision
support by accessing to current
data
- 2) Business Analytics
- Tools for manipulating,
mining, and analysing
data in the data
warehouse
- Tools for manipulating,
mining, and analysing
data in the data
warehouse
- 3) Business Performance
Management (BPM)
- Monitor and analyse performance to
better manage operations
- Monitor and analyse performance to
better manage operations
- 4) User Interface
(Dashboards)
- A comprehensive graphical view
of corporate performance
measures, trends, and exceptions
- A comprehensive graphical view
of corporate performance
measures, trends, and exceptions
- 1) Data Warehouse with
its source data
- Overview of Business Analytics
- Process of developing actionable decisions or
recommendations for actions based upon insights
generated from historical data
- 1) Descriptive Analytics
- - What is happening in
the organisation?
Understanding primary
trends and causes of
such occurrences
- - What is happening in
the organisation?
Understanding primary
trends and causes of
such occurrences
- 2) Predictive Analytics
- What is likely to happen in
the future based on statistical
techniques?
- What is likely to happen in
the future based on statistical
techniques?
- 3) Prescriptive Analytics
- To provide decision or
recommendation for an action
to achieve the best
performance possible
- To provide decision or
recommendation for an action
to achieve the best
performance possible
- 1) Descriptive Analytics
- Process of developing actionable decisions or
recommendations for actions based upon insights
generated from historical data
- OLTP vs OLAP
- Online Transaction Processing (OLTP)
- Handling updates
(add/edit/delete) to
operational database. Goal
is to have high efficiency.
- Handling updates
(add/edit/delete) to
operational database. Goal
is to have high efficiency.
- Online Analytic Processing (OLAP)
- Extracting information from
data stored by OLTP
systems
- Extracting information from
data stored by OLTP
systems
- Online Transaction Processing (OLTP)
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