Senior management information systems and data warehouses and external / unstructured data and data warehouses

Senior management information system and data warehouse as well as external data / Unstructured data and data warehouse

One 、 Senior management information system and data warehouse

EIS- Senior management information system - One of the most effective forms of computer hunger .

EIS Handle , Designed to help senior management make decisions . Typical use ：

• Trend analysis and discovery
• Key proportional indicators measure and track
• Drill down analysis
• Problem monitoring
• Competitive analysis

Looking down at data means starting with a summary data , Decompose the summary data into a group of more detailed summary data .

How to drill down into data becomes a problem , Therefore, the generation of basic data for drill down analysis is the main obstacle to the successful completion of drill down processing .

The data warehouse runs on EIS In a bad situation . It can be understood as , Data warehouse is based on EIS What the analyst needs to make . So when the warehouse is built ,EIS It is much easier to work in a warehouse than when there is no warehouse

Why is it simple ？ because ：

• You don't have to search for qualified data sources
• There is no need to generate specific extractors from existing systems
• Don't worry about non integrated data
• Don't worry about the details and summary data and the connection between them
• Don't worry about finding the right data time base
• There is a large amount of summary data available
  

At different levels of the warehouse , In the whole process of summarizing , The data is correlated through a key code structure . The key structure itself or the structure derived from the key structure connects the data of each layer , So that we can easily explore and analyze

EIS There is a close relationship with the data warehouse . Shucang obviously supports EIS Of all the requirements . With a few storehouses , Is the EIS The analysis of is much more convenient

Shucang Zai EIS The role of ：

• Very fast information management requires
• The need to change their thinking
• Observe the management needs of integrated data
• The management of data within the observation time range needs
• The management of downward exploration requires

Two 、 External data / Unstructured data and data warehouse

There are two sources of data warehouse , Internal data and external data

• internal data ： Data from existing systems , It can be regarded as the internal data of an enterprise , The data extracted from the existing system is called internal structured data
• External data ： It is not produced with the enterprise's own system , Called external data , Usually these data are in unstructured form 、 Enter the enterprise in an unpredictable format

Data warehouse is an ideal place to store external and unstructured data

Unsolved problems of external data ：

• How often unstructured questions are available . External data is a real pattern that is not presented . To ensure that these data are correct , A permanent monitoring system must be established .
• The form of data . External data is completely unregulated . In order to make it useful and put it into the data warehouse , The external data must be reformatted .（ Transform it into a useful form that is internally acceptable . Imagine... In business logic ETL cleaning ）
• Unpredictability . The source of external data is unpredictable , The time to enter the data warehouse is also unpredictable

Two common types of unstructured data are image and sound .

Metadata and external data

You can use metadata , The user can judge a lot of information about external data . You can even judge the data type of the source file by metadata information

Store external data / Unstructured data

If resources and economy permit , External data is completely stored in the data warehouse . But most of the time , It is unrealistic to store all external data in a data warehouse .

In metadata of data warehouse , For external data / Login with unstructured data , Create an entry to indicate where the external data itself can be found , External data is stored in any convenient place . External data may be stored in a file cabinet 、 film 、 Tapes and so on

External data archiving

Data has its own life cycle . Once this life cycle is exceeded , We have to consider the problem of ending these data . Discard or archive , Need careful analysis . Usually , External data may be moved from data warehouse to some cheap storage devices . The consumption of external data by metadata should be updated to reflect the new storage location , And the new storage location remains in the original data storage unit .

summary ： Data warehouse not only has internal structured data , There are also many external data sources , External unstructured data . External data sources are diverse , And external data does not necessarily exist in the data warehouse .