best business intelligence software

based on OLAP and reports4. BI includes Business and Intelligence. These two concepts are not fully understood by general software developers. Therefore, they are directly related to Business development, therefore, the development of BI needs to work with professional industry elites to provide their ideas. The deman

data warehouse with a simple graphical interface in order to satisfy the information query needs of leaders who cannot focus on computer technology. BprBusiness process re-engineering (Business process reengineering) refers to the use of data warehousing technology to identify and correct the drawbacks of enterprise business processes, a work of data warehousing, one of the important role. BIBusiness

Definition of business intelligence The definition of business intelligence is different from each other. People's understanding of business intelligence is like the seven Indian blind people's understanding of elephants: some pe

Pentaho Pentaho is the world's most popular open-source business intelligence software. It is a workflow-oriented Bi suite that focuses on solutions rather than tool components. It integrates multiple open-source projects, the goal is to compete with commercial bi. It is a business

With the deepening of the bank informationization, the bank accumulates more and more data, facing the contradiction of "data explosion" and "information lack", on the other hand, in the complex business environment, the decision of ignorance or smattering is the biggest threat of modern bank. The greatest advantage of business intelligence is to make full use of

is the data .The principle of informatization construction1, combined with the actual situation of enterprises to do it planningThere are various aspects of the enterprise's it base. For example, some enterprises lack of IT staff, the overall quality is not high. In this case, it needs to be subtracted, such as integrating the ERP system into the office platform and taking a lightweight route.2, the system is simple and clearThe construction of the system is also taking into account the actual

Driven by big data backgrounds, more and more industries and businesses are focusing on data mining analytics, and business data is used for marketing as early as a decade ago.The famous American department store teenage pregnancy case, using the customer's purchase record data, speculated that teenage pregnancy, and then recommended a series of maternity products. Teenage parents know the rage, but the truth is that the girl concealed the pregnancy n

The latest version of this BI platform features an overview of the first enterprise-class product. SQL Server products have taken a significant step forward in the scalability of the Product analytics feature. The purpose of the SQL Server 2005 Business Intelligence feature is to make reporting and analytics applications more central to the day-to-day operations of all businesses. To enable all levels of

The SQL Server 2008 Business Intelligence platform provides an extensible, optimal business intelligence platform for data integration, reporting, and analysis that enables companies to provide users with business intelligence whe

Development and implementation of the business intelligence platform for Small and Medium Enterprises (data warehouse, Bi system, and real project practices)Course category: data and data warehouseSuitable audience: elementaryLesson count: 76 lessonsTechnologies used: Data Warehouse, Bi system, and real project practiceInvolved projects: business

implementation"Supplier Integrated Service Platform"Module, which is B2B Through this module, the Lianhua procurement center can use automatic fax E- MailAndEDIAnd other methods to quickly pass the order information to the supplier, the supplier can also go to this platform to query their own goods sales and inventory information.2002Year10In the month, Lianhua began to establish a comprehensive large-scale network system between Stores and Procurement Centers and between stores and supplier

As early as the full business intelligence platform in SQL Server 2005, the NoSQL stuff was still at the conceptual stage, and it was not until 2009 that it became known that it was a leap forward. Of course, this is going to pull away, let's go straight to the focus of this article on the traditional relational database in the face of some problems. Limitations of relational databases SQL Serv

Label:Original: http://blog.csdn.net/esrichinacd/article/details/8433333The previous article introduced the installation and deployment of the IBM Cognos business Intelligence Development, but the study found that ESRI Maps for Cognos could not be installed on the development version, That's why the installation and deployment of the Enterprise Edition have been re-organized.

Now people are talking about the advent of the big data age, but often it's just a distant view and less touching. For enterprises, the new era of business mode of change, the transformation of the market model, how to use data to guide marketing, or foggy.Some people say that China has only BAT has huge amounts of data that can play big data. But not much data is big data, big data is more in the precise description of individual individuals, based o

Business Intelligence system is not a separate system, the data mainly from the ERP, WMS,SCM and other business systems, office systems or the Internet data files, through the ETL ( extraction-transformation-loading) tools are extracted, transformed, and loaded into the data warehouse to further process and transform the data. In the previous article, "What probl

Now the company sells the pain point has four main aspects, receives the customer difficultly, the transaction is difficult, the management is difficult, the brand is difficult. The artificial intelligence business card is to know these difficult points, attempts to solve these difficulties and produces the product.　　Artificial Intelligence

control and analysis, more importantly, through the data to generate profits. Business Intelligence as a data nuggets has gradually begun to pay attention to the car companies and use up. The closest example is Ford, which is known for its financial control. Ford Motor uses the strength of data analysis, internal guidance companies improve corporate performance, through the massive processing data and deta