What are the indicators, dimensions and models in Business Intelligence BI data warehouse?

In business intelligence BI In the project , We often talk about indicators and dimensions in data warehouse , And look very heavy , So some people may wonder why the data warehouse and indicators 、 Dimensions are related , What exactly is an indicator 、 What is dimension , Can you introduce them in the simplest and most popular way ？

indicators 、 What is the dimension

Simply speaking , In business intelligence BI In the project data warehouse , Dimension is the angle of looking at data , The data to be viewed is the indicator .

dimension  - Parker data business intelligence BI Visual analysis platform

such as ： I would like to see it 2020 The sales volume of a brand of computers in Beijing in 、 Sales and gross profit . Inside 2020 year 、 Beijing area 、 A brand of computer is a dimension , They represent the year dimension 、 Regional dimension and brand dimension . What data are you looking at ？ It's sales 、 Sales and gross profit , These three data are the indicators to be looked at .

What is the model

Also refer to the example mentioned above , Such a problem constitutes a simple analysis model , By year 、 Area 、 Three dimensions of brand and sales volume 、 sales 、 Gross profit consists of three indicators . Of course, if you need to look at these indicators from other dimensions , When building this analysis model, you can add these analysis angles , Form a relatively comprehensive analysis model .

The analysis model  - Parker data business intelligence BI Visual analysis platform

In this analytical model , Dimensions can be matched and combined arbitrarily , For example, I just want to know 2019 Sales volume in Shandong Province in 、 sales , In fact, only two dimensions and two indicators in the analysis model are used , The foreground analysis will be based on the dimension and indicator combination selected by the user  SQL  Query statement to query in the background data warehouse , And return the query results to the front-end page to render and render the final desired results .

This  SQL  The basic format is  SELECT SUM（ Sales volume ）、SUM（ sales ）、FROM（ Model ）、GROUP BY（ Time 、 Area ）, The time filter condition is 2019 year , The regional filtering condition is Shandong area .

If you just want to know 2020 Annual sales volume 、 sales , It's the same one just now  SQL  sentence , But in GROUP BY  When you are young, you will only  GROUP BY  The dimension of time , The time filter condition is  2020 year .

Data visualization  - Parker data business intelligence BI Visual analysis platform

therefore , In this model, the analysis dimension and analysis indicator can be flexibly organized and matched , Dynamic organization SQL Query and reverse query the data analysis model , Extract the query results from the data analysis model and return to the front page , This is it.   business intelligence BI  The basic principle of analysis .

well , Today's sharing is here , Focus on big data business intelligence BI, Friends who like our content , Welcome to pay attention to and like support .