You require easy, efficient and complete BI system to support and assure your business strategy.
Currently, BI has become a crucial area in terms of company’s strategy and executing, and also causes great challenges in making decisions. As we know, precise and objective data is the premise of scientific decisions. All decisions of departments should depend on data analysis and support, first, on reality and then on truth.
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Executive information systems (EIS) |
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Decision support systems (DSS) |
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Data warehousing (DW) and business intelligence (BI) |
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| 2.Early Management Information Systems |
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MIS systems provided business data. |
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Reports were developed on request. |
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Reports provided little analysis capability. |
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Decision support tools gave personal ad hoc access to data. |
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| 3.Analyzing Data from Operational Systems |
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Data structures are complex. |
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Systems are designed for high performance and throughput |
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Data is not meaningfully represented. |
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Data is dispersed. |
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OLTPsystems may be unsuitable for intensive queries. |
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| 4.Why OLTP Is Not Suitable for Analytical Reporting |
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OLTP |
Analytical Reporting |
nformation to support day-to-day service |
Historical information to analyze |
Data stored at transaction level |
Data needs to be integrated |
Database design: Normalized |
Database design: Denormalized, star schema |
| 5.Data Extract Processing |
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End-user computing offloaded from the operational environment |
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User’s own data |
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| 6.Issues with Data Extract Programs |
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| 7.Productivity Issues with Extract Processing |
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Duplicated effort |
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Multiple technologies |
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Obsolete reports |
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No common metadata |
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| 8.Data Quality Issues with Extract Processing |
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| 9.Data Warehousing and Business Intelligence |
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| 10.Advantages of Warehouse Processing Environments |
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Controlled |
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Reliable |
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Quality information |
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Single source of data |
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| 11.Advantages of Warehouse Processing Environments |
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No duplication of effort |

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No need for tools to support many technologies |
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No disparity in data, meaning, or representation |

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No time period conflict |

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No algorithm confusion |
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No drill-down restrictions |
| 12.Business Intelligence: Definition and Purpose |
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“Business intelligence is the process of transforming data into information and through discovery transforming that information into knowledge.” – Gartner Group |
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The purpose of business intelligence is to convert the volume of data into business value through analytical reporting. |
| 13.Success Factors for a Dynamic Business Environment |
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| 14.Business Drivers for Data Warehouses |
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Provide supporting information systems |
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Get quality information: |
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| - Reduce costs |
| - Streamline the business |
| - Improve margins |
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| 15.Business Intelligence: Requirements |
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Efficient design of data warehouses |

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Enterprise reporting |
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Ad hoc query and analysis (relational and multidimensional) |

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Advanced analytics |

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Integration with portals |
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Easy administration |

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Integrated environment and/or tools |
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| 16.Problem: Multivendor, Unintegrated Environment |
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| 17.Introduction to Microsoft Business Intelligence Tools and Applications |
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| 18.Microsoft’s Complete and Integrated Solution |
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| 18.Microsoft Business Intelligence Architecture |
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