China's banking industry in the development process, has gradually accumulated a large number of customer data and operating data. How to use these data to discover valuable information is of general concern to China's banking industry today. The key to solve the problem is to set up the bank's enterprise-level
then you naturally reply: vinegar, cabbage radish soup. There is no reason why this should be done, but it should be done. J
Process modeling can never be used in the design of a data warehouse, because process modeling is based on requirements, and it assumes that the requirements are already known at the beginning of the detail design, but at one point it is not enough to build
mysterious numbers are indeed useful. You can say the following content, and I will tell you how to say it. Although no specific data is attached, the logic is strong and cannot be refuted.
Advantages of data warehouse
1. multi-level trend analysis. Your financial staff, sales staff, and marketing staff will be able to define and analyze market trends in a multi
, although the traditional database structure experienced and proficient in the query syntax of the administrator can be implemented through complex statements, but in terms of their performance and security, It seems impractical. And, in reality, the data information in the enterprise is mostly distributed in different systems, so if comprehensive analysis and processing, it may need to obtain information
According to the Informix Data Warehouse System implementation methodology, we can divide the data warehouse implementation into the following steps:
1. Business Demand Analysis
Business Requirement analysis is the basis for data warehou
Enterprises in the decision to purchase Data Warehouse integration equipment, the products to be implemented after the selection, the project management phase began, the goal is to successfully deliver to meet the specific business and technical requirements of the Data Warehouse system. But there are plenty of challen
Data Warehouse Experience Summary
Planning by subject domainDW
Theme domain contains things that interest decision makers in a certain aspect. A topic domain usually covers multiple business departments. For example, a product subject domain involves sales, finance, logistics, procurement, and other departments.
A topic domain includes a topic, such as a product topic.
The domain includes topics
Just a few days ago, a user participated in a job interview for an enterprise. He applied for the DBA of the company and was responsible for data analysis. This company successfully completed the process. Until the person in charge of the company. The owner only gave him an interview question: Let's talk about the differences between the database and the data
Follow the public number: Focusbi See more articles; Add QQ Group: 808774277 Get learning materials and explore issues together. Business Intelligence Tutorial PDFLink: https://pan.baidu.com/s/1f9VdZUXztwylkOdFLbcmWw Password: 2r4vData Warehouse is the core of decision support system, it is the decision-making process for all levels of enterprise, it provides the strategic, tactical and operational collect
large amount of customer data and business data during its development. How to use this data to discover valuable information is of widespread concern to China's banking industry today. The key to solving the problem is to establish an enterprise-level data
intelligence can assist business decision-making, which can be either operational or tactical or strategic. To turn data into knowledge, you need to leverage technologies such as data warehousing, online analytical processing (OLAP) tools, and data mining. Therefore, from the technical level, business intelligence is not a new technology, it is only
simpler structure in many areas, so as to make their query designs more manageable and also demand Y denormalized tables wherever possible.
Management
Management would typically provide the most demanding and least detailed set of requirements from the Data Warehouse Projec T. You can expect such requests as, ' I need to know how profitable we are on a quarterly basis. ' or ' Who are my top C Ustomers? "
products and completes the Unified Management Information Service subsystem.
Hainan Unified Management Information Service subsystem is based on the query/statistical operating data as the core, the data originates from the data (including electronic and manual data) in each production subsystem of the service suppor
Data Warehouse is a subject-oriented (Subject oriented), integrated (integrate), relatively stable (non-volatile), data collection that reflects historical changes (time Variant). Used to support management decisions.The so-called (1) topic-oriented: Index data in the warehouse
BI architecture and data warehouse design
(14:26:41)BI architecture and data warehouse design
A data warehouse solution is often related to a large Bi strategy. When you plan to use the fast tracing architecture, the most impo
. The SQL chip has a built-in concurrency that enables the application software to meet the load speed of multiple CPUs. In addition, Kickfire provides the incremental load function for MySQL to track changes in the source database and then automatically pass these changes to the Kickfire application.
Optimize query processing and data warehouse
Although the data
Welcome to the Oracle community forum, and interact with 2 million technical staff to access the data warehouse. different data sources must be obtained from different data sources, in addition, this huge amount of data is converted into available
the operation of the enterprise.The idea of presenting a KPI is to be expected to be based on a rough (non-detailed) message, rather than data, for the next decision. resulting in different decision behaviors must be discrete input, the simplest is a switch, is or not (such as alarm lights). if metrics and indicators are quantitative, the indicator is a qualitative one. However, the KPIs in these systems are not exactly the indicators mentioned above
The inventory check of books plays a vital role in the warehousing management of book enterprises. With the development of the times, the circulation of books is growing today, and the types and update speed of books are also increasing rapidly. To ensure a foothold in the book industry, we must first ensure the correct purchase and inventory control and delivery, so as to avoid the increase of goods backlog and management costs. However, traditional simple and static
Oracle Financial Services Application (OFSA) technical platform: includes Oracle Warehouse Builder Data Warehouse building tool, Oracle8i Database, Oracle Express multi-dimensional database, Common Warehouse Metadata Common Data Warehous
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