Account users
User who creates eazyBI account is Owner of the account. Owner has all rights for this account and also can add additional users to account. In case of private accounts only specified account users will have access to account data.
创建eazyBI账户的用户是这个账户的拥有者。拥有者对此账户有所有的权利，他能够增加额外的用户到此账户中。如果私人帐户的情况下，只有指定的帐户用户才有权限访问帐户中的数据。
Read more about adding additional account users to your account.
Source Data
After creating new account you need to import data which you want to analyze. There are two ways how to import data - either upload source data files or import data from source application for which eazyBI data import is defined.
在创建一个新账户后，我们需要导入数据以此来对它进行分析；有两种方式来导入数据，上传一个源数据文件或者从源应用程序中导入数据；
Source Files
Currently import from Excel and CSV format files are supported (other formats will be supported later, please write feedback if you want support of some specific format). After upload of source data file you need to define mapping from source file columns to cube dimensions and measures (see Cubes, Dimensions and Measures below).
Source Applications
Import from source applications provides faster way for data import and start of data analysis. For each source application data will be uploaded into predefined cube structure and default analysis reports will be created. After initial upload regular new data import will be scheduled automatically (for paid subscription plans).
See available source applications that eazyBI is integrated with.
Cubes
Imported data are stored in multi-dimensional data cubes. Cubes contain fact data that are divided by dimensions and each detailed fact “cell” contains measure values about that fact.
This is example of Sales cube that has Customers, Products and Time dimensions and has measures Sales amount and Units sold. Each detailed cube “cell” contains sales amount and units sold for particular product, customer and time period:
It is easy to illustrate cube with three dimensions but you can have as many dimensions and as many measures as you need in one data cube.
All measures in the same cube share the same dimensions. If in one account you want to store different types of measures that do not share the same dimensions then you can create several different cubes.
Dimensions
Typical cube dimensions are Time, Customers, Products, Locations, Employees, Projects etc. Use dimensions that are best suited to your business domain.
典型的立方维度是时间、客户、产品、地点、雇员、项目等。最适合您的业务领域的使用维度。
Each dimension can have either just detailed level of all dimension members or you can define hierarchy with several levels. For example, Customers dimension could have Country, State and Customer Name levels.
每个维度（dimension ）都可以具有所有维度成员（dimension members）的详细级别（level ），或者可以定义具有多个级别(levels)的层次结构（hierarchy ）。例如，客户维度可以具有国家、国家和客户名称级别。
All measures are automatically aggregated (typically as sum of detailed level values) in upper hierarchy levels. E.g. looking at Sales amountmeasure at Country level will give total sales amount for this country.
在上层层次中，所有的度量(measures )都会自动聚合（通常是详细级别值之和）。例如，在国家层面上衡量销售额将给这个国家带来总销售额。
Typically each dimension has All level with one All member which aggregates all dimension members.
通常每个维度都(dimension )有一个层次(level )，所有成员(member )都聚集(aggregates )所有维度成员(dimension members)。
When you upload source file with date (or date & time) column then automatically time hierarchy will be constructed for corresponding dimension. Time hierarchy will have Year, Quarter, Month and Day levels which can be used to get totals of measures at selected time period level.
当我们带有日期列的源数据文件时，时间层级结构（hierarchy ）将自动将根据对应的维度（dimension）进行组织。时间维度层级是年、季度、月、日层级，这些可以依据所选时间的周期层级来进行度量上的汇总
Measures（度量，测量）
Measures typically are integer or decimal values that can be accessed either at detailed dimension member level or can be aggregated at higher dimension levels. Typical measure examples could be Sales amount, Units sold, Cost amount, Transactions count etc.
度量通常是整数或十进制数值，这些值可以在详细维度成员级别中访问，也可以在更高维度级别进行聚合汇总。典型的测量实例可以是销售金额、单位销售、成本金额、交易计数等。
Calculated members（计算成员）
Sometimes you want to calculate new measures from other existing cube measures - these are called calculated measures. For example, you could define Profit calculated measure as Sales amount measure minus Cost amount measure. And then you could also define Margin % calculated measure as Profit measure divided by Sales amount measure (and display result as percentage).
有时候我们需要从其它已存储的度量立方中计算新的度量，我们移之为 calculated measures.。例如，可以将利润计算的度量定义为销售金额度量减去成本金额度量。然后还可以定义利润率%的计算方法作为利润衡量除以销售金额测量（和显示结果为百分比）。
You can also define calculated members in other dimensions. For example, you could define in Customers dimension new calculated memberNorth America as sum of USA and Canada members.
我们可以在其它的维度中定义计算成员（calculated members） ,例如，您可以在客户维度中定义新的计算成员美国北部作为美国和加拿大成员的总和。
Calculated member formulas are defined using MDX language. Basic arithmetic formulas can be created very easily but by learning other MDX functions you will be able to create any calculated members you need. Read more about creating calculated members.
计算成员的表达式是依据MDX语言标准的。可以很容易地创建基本的算术公式，但是通过学习其他MDX函数，您将能够创建所需的任何计算成员。
Analyze data and create reports（分析数据和创建报告）
After importing data from source files or source applications you can go to Analyze tab and start to explore data in created cube. You can start creating table reports by dragging needed dimensions to columns, rows and pages and exploring your data at different dimension levels. After selecting needed data in table report you can switch to different chart reports to explore your data in more visual way.
在从源文件或源应用程序导入数据之后，可以转到“分析”选项卡，并开始在创建的多维数据集中浏览数据。您可以通过向列、行和页拖动所需的维度并在不同维度级别上查看数据来创建报表。在表报中选择所需的数据之后，您可以切换到不同的图表报表，以更直观的方式查看数据。
When you have created report layout that you want to use frequently you can save this report with given name. When later you will open saved report then you will get latest results from data cube using saved report layout.
当您创建要频繁使用的报表布局时，可以使用给定名称保存此报表。稍后您将打开保存的报表，然后使用保存的报表布局从数据立方体中获得最新结果。
Learn more about Analyze tab in Create reports and Create charts tutorial pages.
Feedback and support
If you have any problems, questions or suggestions for new eazyBI features then please use Contact support link from top Help menu. Or you can send e-mail directly to support@eazybi.com.