microsoft bi products

sales, order quantity, and profit margin. A positive trend in profit margins is the most important measure, because if these sales result in a net loss, the company will not make a profit even if the sales volume (in dollar or sold units) is high. Does the demand for specific products increase or decrease? Adventure works must make the production level consistent with the sales demand. AdventureWorks must adjust its manufacturing process to en

analysis, competitive analysis, and word of mouth analysis of important information. Therefore, the future development trend of BI must strengthen the processing capacity of unstructured data.10, visualization, interactive analysis to strengthenA growing number of users are no longer content with traditional reporting and charting, and map-based data presentation is becoming increasingly popular. In addition to these widely used technologies, some sp

Question: Why Bi, statistics and analysis of massive data through BI solutions, compared with pure tsql statistics, can improve query and analysis performance, in addition, multidimensional analysis can help customers better understand data. Recently, I have been asked a few similar questions, so I have summarized some of them and gradually gained an unformed accumulation, which is roughly recorded as follo

few similar questions, so I have summarized some of them and gradually gained an unformed accumulation, which is roughly recorded as follows. Microsoft may be subject to some restrictions, so the support of many products in China is not very powerful, and there are fewer people engaged in related development. Based on my experience over the years, this article provides some reference projects for your eval

Tags: style blog http color os io using AR forIntroduction to the outsetExecute SQL Task This control is very often used in Microsoft BI ETL projects, and it is also the first few control flow controls that are accessible to most beginners in SSIS. we typically use the Execute SQL Task scenario to include but not only the following categories: Use Execute SQL Task to perform some Truncate operation

Tags: ref LIS resource Body SQL statement sqli target ALT imgLong time no research power BI, see goofy big God to get things, too ashamed. Today there is a small thing, data in SQLite, want to Daoteng to power BI desktop inside toss, the results found not directly support. So had to bite the bullet to go, or else Daoteng to Excel also bother. I see support for ODBC drivers and think there's a way. Take a lo

This series of articles mainly combines the actual project with their own summary and a series of project notes, involving the multidimensional analysis module in the Business Intelligence Development of Microsoft SQL server2008: Bi project notes: Dimensional Design Based on snowflake model Bi project notes Data Source view settings

that are set to be predictable, the algorithm generates a separate decision tree for each predictable column.ExampleAdventure Works Cycles's marketing department wants to identify some of the characteristics of previous customers, which may indicate whether these customers will be able to purchase their products in the future. The ADVENTUREWORKS2008R2 database store describes demographic information about its previous customers. By using the

Two days ago, ziliang (DAI ziliang) sent me a text message, today, the Microsoft Bi pioneer conference and two technical lectures on business intelligence and data mining will be held in the yongyu le conference hall of Kingsoft on the 20 th Floor of baiyan building, my former colleagues, Jin Ligang and Wang rutao, are both senior lecturers and practitioners in the field of business intelligence in China, I

Microsoft (Microsoft) In the simplest terms, business intelligence is an effort to acquire and analyze enterprise data to better understand the market and customers, improve business processes, and more effectively participate in competition. Provide the right information to the right decision makers at the right time. business intelligence enables enterprises to make better decisions at a better time than

In the original: "Bi thing" Microsoft neural network algorithmThe Microsoft Neural Network is by far the most powerful and complex algorithm. To find out how complex it is, look at the SQL Server Books Online description of the algorithm: "This algorithm establishes a classification and regression mining model by establishing a multi-layered perceptual neuron net

Introduction to the outsetFrom Tian Shan College A student's question, how to import data from an ACCESS datasheet in SSIS.Import ACCESS database data in SSISAccess is actually a lightweight desktop database that is stored directly in the form of files. There is not much use of access as a BI data source in the country, but it is more used abroad, especially in the United States, because their IT base starts early. In my first American health insuranc

In the original: "Bi thing" Microsoft sequential analysis and clustering algorithmThe Microsoft Sequential Clustering algorithm is a sequential parsing algorithm provided by Microsoft SQL Server Analysis Services. You can use this algorithm to study data that contains events that can be linked by the following path or

A few months ago, the study of Microsoft Power BI technology, because there is no documents and materials, only in the English official website Blind Toss, but also published the relevant articles in English documents:, just last week to publish the article, the results of the Simplified Chinese version on the line. Haha, the heart has bitter ah, early know so fast, I will save a little time.1. Why the Simp

Introduction This article specifically records the Syntax problems in the conversion process of XSLT style sheets.Incorrect value and attribute inversion The style sheet has been modified several times, but an error is reported as before. The error message is as follows: [XML task] error: An error occurred with the following error message: "attribute and namespace nodes cannot be added to the parent element after a text, comment, PI, or sub-element node has already been added. ". Obviously, the

based on the model name to ensure that the test group remains the same when the model is re-processed.Maximum_input_attributes: Specifies the maximum number of input variables that the algorithm can handle. Setting this value to 0 disables the input variable.Maximum_output_attributes: Specifies the maximum number of output variables that the algorithm can handle. Setting this value to 0 disables the output variable.Maximum_states: Specifies the maximum number of variable value states supported

only say it is a suspected bug. But from this perspective, it may also be by design. Here is my personal opinion: on this question, I also mentioned it to Microsoft. I can visit SSIS 2012 readonlyvariables in script task doesn' t work to follow the final confirmation from Microsoft's technical team. For this problem, including the above two very Nb MVPAnd the other two cool people in the post SSIS script task 'readonlyvariables 'I have dug up. MVPArt

In the original: "Bi thing" Microsoft logistic regression algorithm--Forecast stock rise and fallData preparation:A set of stock history sold data (stock code: 601106 China One heavy), starting Date: 2011-01-04 to date, where variables are "open", "highest", "minimum", "close", "Total hand", "Amount", "ups and downs" and so onUPDATEFactstockSET [Ups and Downs] =N'Rise'WHERE [gains] > 0UPDATEFactstockS

Original: "Bi Thing" Microsoft cluster analysis algorithm--three-person identity divisionWhat is cluster analysis?Cluster analysis is an exploratory method of data analysis. In general, we use clustering to group and categorize seemingly unordered objects to better understand the object of study. Clustering results require that the similarity of objects in group is higher, and the similarity between groups

the relationship between two contiguous columns. For example, you can use linear regression to calculate trend lines based on production or sales data. You can also use linear regression as a basis for developing more complex data mining models to evaluate the relationships between columns of data.Although there are many ways to calculate linear regression, and these methods do not require data mining tools, the advantage of using the Microsoft linea