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preparation is important for achieving high-value data discovery.Smart Data Discovery will expand the user base to provide users with insights and data interpretation.Cloud bi will evolve as online applications evolve, and will evolve as data becomes more important to the cloud.Streaming Data. Streaming data analytics is becoming increasingly important for many customer-facing businesses.multistructured Data Analysis. This is also an important direction.Embedded BI. Embedded bi, especially mobi
1.2 profound impact of Gartner Definitions
Gartner1990The "function checklist" listed in the annual study report is still of great significance. For example.
The first requirement of the function ChecklistERPThe system must be able to adapt to different types of discrete, process, and distribution, that is, covering various types of manufacturing.
next we propose ERP graphic methods should be used to handle and analyze various
Business intelligence technology is a kind of advanced technology that can help enterprises to complete information collection and analysis quickly. It is based on the integration of data warehousing, online analytical processing (OLAP), Data Mining 3 technologies, and establishes an enterprise data center and Business analysis model to improve the enterprise's a
of gross profit margin requires the cost price of the commodity. For the acquisition of cost price, there may be some logic(d) Methods of data extraction. The ability to introduce third-party frameworks that streamline development workloads, such as Datax(2) Data collection(a), data labelling: depending on the needs of the business, some data need to be flagged, analyzed through the log, or recorded in the database, such as the order: source, ref, PO
The two words that corporate IT departments often hear are business analysis-commercial analytics, business intelligence-. Many people confuse the two, especially as many HR companies confuse the two in recruiting jobs. Let me briefly explain the difference between the two.
BI (business
information system, therefore, the new platform system construction will comb the information resources, improve the comprehensive management information application decision-making ability.The Gartner Group suggests that business intelligence describes a series of concepts and methodologies that assist in making business
Everyone should know about the definition of business intelligence (BI) technology, but for now, what are the main applications or components of business intelligence?First of all, we should make it clear that the business
Source: http://www.cnblogs.com/jiesin/archive/2008/06/23/1227694.htmlLet's talk about our understanding of Bi and redescribe it from the definition, basic technology, terminology, instance application and expansion of Bi to consolidate our understanding of Bi.
I. DEFINITION OF Bi
Bi is the abbreviation of business intelligenc
behavioral data to identify risks and payment possibilities. Application layer: The most important part of data-guided marketing is interpretation. Traditionally, it is the definition of marketing problems, the acquisition of corresponding data, and then modeling analysis, validation hypothesis, interpretation, interpretation of the space is limited. And business intel
ArticleDirectory
What is bi?
What is the problem with querying your company database?
Support for decision making
Running bi
Microsoft Bi Stack
Solution Development Method
Getting started
Subsequent steps
Business Intelligence:
Plan your first Microsoft Bi Solution
In this article, I have defined Bi and briefly described the advanced architecture of BI solutions. I also
cost price, for cost price acquisition, there may be some logic(d), a data-extraction approach that could introduce third-party frameworks that streamline development workloads, such as Datax(2) Data collection(a), data labelling: depending on the needs of the business, some data needs to be flagged, analyzed through logs, or recorded in a database, such as placing a order: source, ref, POS(b), website traffic: Insert code or analysis log, http://blo
Brief Introduction to open-source BI systems
Data Warehouse Technology
Business Intelligence (BI)
Basic Java knowledge
This unified intelligent process system consists of three parts:
To
Data WarehouseThe middle of the 80 century, "the father of the Data Warehouse Mr. William H.inmon defined the concept of data warehousing in his book" Building Data Warehouses, "and then gave a more precise definition: The Data Warehouse is a topic-oriented, integrated, time-related, and relevant in business management and decision making, A collection of data that cannot be modified. Unlike other database
mining? 1, problem definition 2. Data preparation 3. Training 4. Verification Finally, but as I said before, data mining is not magic. It predicts events not because they can see the future. Instead, it is just a mathematical way to analyze what is going on in historical data and to determine what is most likely to happen if the current trend continues. Then there is always the case that some external factors are causing the current trend to go d
adjustment, hurt – situation.4) consistencyOn the basis of maintaining the extensibility, different data through the consistency model, the data of each business system can achieve the same caliber, the definition is consistent, reduces the ambiguity occurrence.3. Advantages of the program1) The overall solution from the data base to the front-end data presentation. Relying on the original products Finedw,
From: http://www.chinabi.net/CIO/knowledge/200702/2.html
Data WarehouseWilliam H. in his book "building a data warehouse", Mr. inmon defined the concept of a data warehouse, and then gave a more accurate definition: A data warehouse is a topic-oriented, integrated, time-related, and unchangeable data set in enterprise management and decision-making. Unlike other database applications, data warehouses are more like a process of integrating, processin
anytime and anywhere, and improve the work efficiency of employees. Third, business definition insights: through extensive and rapid information collection, processing, and analysis, enterprises can gain insight into market changes, improve customer relationships, and accelerate innovation. Ultimately, they can improve their competitiveness.
HDS estimates that enterprises can use the HDS permanent IT archi
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