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| Table of Contents |
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Account
When you sign up for eazyBI flex.bi then the new trial account will be created for you.
One eazyBI flex.bi account contains a set of data which can be analyzed by one or many account users. In any given time, you can work with one selected current account (you will see the current account on top right header menu). You can select current account either from Home tab or from account selection drop-down in the top right header menu.
After the end of the 30-day trial, you will need to select an account plan. You can select either private plan (only account users can access account data) with a monthly subscription or you can select public plan if the account contains public data and an anonymous user can access it.
Account users
The user who creates an eazyBI a flex.bi account is Owner of the account. The owner has all rights for this account and also can add additional users to account. In the case of private accounts only specified account users will have access to account data.
Read more about adding additional account users to your account.
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After creating a 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 which flex.bi data import is defined.
Source Files
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See available source applications that eazyBI that flex.bi 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.
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Each dimension can have either just a 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.
All measures are automatically aggregated (typically as the sum of detailed level values) in upper hierarchy levels. E.g. looking at Sales amount measure at a Country level will give a total sales amount for this country.
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When expanded each row represents a member of the dimension used in rows
Measures
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.
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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.
MDX
MDX is a Multi-Dimensional eXpressions query language that allows you to query data cube and add business logic to the cubes. You can define new calculated measures and members, sets, or get member properties using MDX.
Analyze data and create reports
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