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SAP C_BOE_30 (SAP BusinessObjects Enterprise XI 3.x (C_BOE_30)) exam dumps vce, practice test questions, study guide & video training course to study and pass quickly and easily. SAP C_BOE_30 SAP BusinessObjects Enterprise XI 3.x (C_BOE_30) exam dumps & practice test questions and answers. You need avanset vce exam simulator in order to study the SAP C_BOE_30 certification exam dumps & SAP C_BOE_30 practice test questions in vce format.
The journey toward mastering a business intelligence tool is a significant undertaking for any data professional. The C_BOWI_30 certification, while representing an older version of SAP BusinessObjects Web Intelligence, covers the fundamental principles that are still at the heart of modern ad-hoc reporting and analysis. This certification, officially for SAP BusinessObjects Web Intelligence XI 3.x, was designed to validate a professional's ability to create and manage reports, analyze data, and share insights across an organization. Although the C_BOWI_30 exam itself is retired, the skills it tested remain highly relevant and form the bedrock of knowledge for current versions of the platform.
This five-part series will serve as a comprehensive guide to the concepts and skills that were central to the C_BOWI_30 certification. We will explore the architecture of the BusinessObjects platform, the core functionalities of the Web Intelligence tool, and the best practices for turning raw data into meaningful information. By mastering these foundational topics, you will not only understand the historical context of the C_BOWI_30 exam but also build a powerful skill set that is directly applicable to the latest SAP Business Intelligence tools used in enterprises today. This first part will lay the groundwork by introducing the key components and concepts of the platform.
Before diving into Web Intelligence, it is crucial to understand the platform on which it operates. The SAP BusinessObjects Business Intelligence Platform is a comprehensive suite of tools designed to provide reporting, analytics, and data visualization capabilities. For the C_BOWI_30 certification, understanding this architecture is key to knowing how Web Intelligence fits into the larger BI ecosystem. The platform is built on a multi-tiered architecture that ensures scalability, security, and manageability.
At the core of the platform is the Central Management Server (CMS). The CMS is the brain of the system, managing all the other components. It maintains a repository database that stores information about users, groups, security settings, and all the reports and documents created within the platform. When a user logs in or runs a report, the CMS is responsible for authenticating them and coordinating the necessary services to fulfill their request.
Other key components include the processing servers, such as the Web Intelligence Processing Server. These servers are the workhorses that handle the execution of reports and queries. The platform also includes a web application server, which hosts the user-facing portal known as the BI Launchpad (or InfoView in the version relevant to the C_BOWI_30 exam). This portal is where users access, view, and interact with their reports. A high-level understanding of this architecture is a fundamental prerequisite for any aspiring BI professional.
SAP BusinessObjects Web Intelligence, often referred to as Webi, is the primary tool for ad-hoc reporting and analysis within the BusinessObjects suite. Its main purpose is to empower business users to answer their own questions by creating and modifying reports without needing extensive technical skills or the help of IT. The concepts behind Webi are a central focus of the C_BOWI_30 certification. Webi provides a user-friendly interface that allows users to build queries, format reports, and perform in-depth data analysis.
The typical workflow in Webi begins with creating a query to retrieve data from a specific data source. Once the data is retrieved into the report document, users can then format it into tables, crosstabs, and charts to make it easy to understand. They can also perform various analytical tasks, such as filtering, sorting, ranking, and drilling down into the data to uncover insights. This ability to move from a high-level summary to detailed information is a key strength of the tool.
Web Intelligence is designed for a wide range of users, from business analysts who need to perform complex data exploration to casual users who simply need to view and interact with pre-built reports. The skills tested in the C_BOWI_30 exam cover this entire spectrum, from basic report viewing to advanced query and report design. Mastering Webi means mastering the art of turning enterprise data into actionable business intelligence.
To be effective with Web Intelligence, you must first be comfortable with its user interface. The primary way users access Webi is through a web portal, which was called InfoView in the XI 3.x version relevant to the C_BOWI_30 certification and is now known as the BI Launchpad. This portal is the central hub for all your BI content. When you log in, you are presented with a personalized view of your documents, folders, and inboxes.
The main area of the portal displays your documents and folders, much like a file explorer. You can organize your reports into a folder structure to keep them manageable. From here, you can open existing reports for viewing and interaction, or you can start the process of creating a new Webi document. The portal also provides access to other features, such as scheduling reports to run at specific times and managing your preferences.
When you create or edit a Webi document, you will work within the Web Intelligence application itself, which can be launched from the portal. This application has several panels or modes, including the Query Panel for building queries and the Report Panel for designing the report layout. Becoming proficient in navigating between the BI Launchpad and the different modes of the Webi application is a fundamental skill for the C_BOWI_30 exam and for daily work with the tool.
One of the most powerful concepts in SAP BusinessObjects, and a critical topic for the C_BOWI_30 certification, is the "universe." A universe is a semantic layer that sits between the physical database and the end-user. Its purpose is to translate the complex, technical structure of a database into a simple, business-friendly vocabulary that is easy for non-technical users to understand. Instead of seeing table and column names like CUST_TBL and SALES_AMT, a user would see business terms like "Customer" and "Sales Revenue."
The universe is created by a designer using a separate tool. The designer maps the database tables and columns to a logical structure of objects, which are categorized as dimensions, measures, and details. Dimensions are the "who, what, where, when" of the business, such as Customer Name, Product, or Year. Measures are the numerical, quantitative data that you want to analyze, such as Sales Revenue or Quantity Sold.
For the report creator using Web Intelligence, the universe provides a simple drag-and-drop interface for building queries. They do not need to know how to write SQL or understand the complex joins between database tables. The universe handles all of that in the background. This abstraction layer not only simplifies report creation but also ensures data consistency and governance, as all users are building reports from the same trusted source. A solid understanding of the universe concept is non-negotiable for the C_BOWI_30 exam.
As with any specialized field, business intelligence has its own vocabulary. The C_BOWI_30 certification requires you to be fluent in the terminology used within the Web Intelligence environment. We have already introduced some key terms like "universe," "dimension," and "measure." A "dimension" object typically retrieves character-based or date data, representing the descriptive context for your analysis. A "measure" object retrieves numerical data that can be aggregated, such as sums or averages.
A "query" is a request for data from a universe. You build a query in the Query Panel by selecting the objects you want to see in your report. The query is then translated into SQL and sent to the underlying database. The data that is returned from the query is stored within the "Webi document." A Webi document is the container for your entire report; it holds the query, the data, and one or more "report tabs."
Within a report, you can display data in "blocks," which can be tables or charts. You can apply "filters" at either the query level, to restrict the data retrieved from the database, or at the report level, to hide data that is already in the document. Understanding the precise meaning of these and other terms is crucial for interpreting the questions on the C_BOWI_30 exam and for communicating effectively with other BI professionals.
A Web Intelligence document is more than just a single report. It is a self-contained file that can hold multiple queries, multiple data sets, and multiple report tabs. This structure provides a great deal of flexibility, and understanding it is important for the C_BOWI_30 certification. The foundation of a Webi document is its query or queries. Each query you create brings a set of data, known as a "data provider," into the document's memory, often called the "microcube."
Once the data is in the document, you can create one or more report tabs to display and analyze it. Each report tab is like a separate worksheet in a spreadsheet program. On a single tab, you can have multiple report elements, or "blocks," such as several tables and charts. All these blocks on a single tab can be linked together, so that filtering on one can affect the others.
This structure allows you to create very rich and comprehensive analytical documents. For example, the first tab of your document could be a high-level summary dashboard with key performance indicators and charts. Subsequent tabs could provide more detailed tables and analyses for different aspects of the business. The ability to organize your information effectively using this document structure is a key skill for a Webi report designer.
The journey of creating any report in Web Intelligence begins in the Query Panel. This is the interface where you define what data you need for your analysis. A deep understanding of the Query Panel's features is a cornerstone of the knowledge required for the C_BOWI_30 certification. The Query Panel presents you with the objects from your chosen universe, neatly organized into classes. Your task is to select the objects you are interested in and add them to your query.
The Query Panel is divided into several areas. On the left, you will typically see the list of available universe objects. In the main area, there are panes for "Result Objects," where you place the dimensions and measures you want to appear in your report, and "Query Filters," where you define the criteria to restrict the data being returned. The panel provides a simple, graphical way to build what is, behind the scenes, a database query.
You do not need to write any code. As you drag and drop objects and define filters, Web Intelligence automatically generates the appropriate SQL code that will be sent to the database when you run the query. This abstraction is what makes Webi so powerful for business users. For the C_BOWI_30 exam, you must be completely comfortable with all the options and functions available within the Query Panel, as it is the starting point for all reporting.
Building a basic query is a fundamental skill that the C_BOWI_30 exam will test. The process is straightforward and intuitive. After launching the Web Intelligence application and selecting a universe, the Query Panel will open. You will see the available dimensions and measures, typically organized into folders or classes that represent business areas. For example, you might see classes for "Customers," "Products," and "Sales."
To build your query, you simply find the objects you need and drag them into the "Result Objects" pane. For a simple sales report, you might select "Year" and "Product Line" as your dimensions, and "Sales Revenue" as your measure. As you add objects, you are effectively telling Web Intelligence what columns of data you want to retrieve. You can see a preview of the generated SQL if you are interested, but it is not necessary.
Once you have selected all the objects you need, you click the "Run Query" button. Web Intelligence will then connect to the database, execute the query, and retrieve the data. The results will be presented to you in a default table format in the Report Panel, ready for you to begin formatting and analyzing. Mastering this basic workflow is the first practical step toward becoming proficient with the tool.
As mentioned in Part 1, the universe contains objects that are classified as dimensions, measures, and details. A core competency for the C_BOWI_30 certification is understanding the role and behavior of each object type. Dimensions are the descriptive, contextual data. They are the things you want to report on, such as "Customer Name," "Store City," or "Quarter." When you add a dimension to a query, it typically corresponds to a GROUP BY clause in the SQL, meaning the measures will be aggregated for each unique value of that dimension.
Measures are the numerical data that you want to analyze. They are almost always aggregated. When you add a measure object like "Sales Revenue" to your query, the universe has a pre-defined aggregation function for it, such as SUM. So, the query will return the sum of sales revenue for each combination of the dimensions in your query. You can change the aggregation function in some cases, but the default is usually what you need.
Detail objects are a special type of dimension. They provide additional information about another dimension but are not typically used for aggregation. For example, "Customer Address" would be a detail object associated with the "Customer Name" dimension. You would not want to aggregate sales by address, but you might want to display the address alongside the customer's name. Knowing when to use each object type is key to building meaningful queries.
It is rare that you will want to retrieve all the data from a database table. More often, you will want to focus on a specific subset of the data. This is where query filters come in, and they are a critical topic for the C_BOWI_30 certification. Query filters are criteria that you apply in the Query Panel to restrict the rows of data that are returned by your query. This is equivalent to adding a WHERE clause to a SQL statement.
To create a filter, you drag an object from the universe into the "Query Filters" pane. You then select an operator, such as "Equal to," "In list," or "Greater than," and provide a value or values to filter on. For example, you could create a filter on the "Year" object to be "Equal to 2024," which would return sales data for only that year. Filtering your data at the query level is highly recommended as it is much more efficient.
Filtering at the query level reduces the amount of data that needs to be transferred from the database to the Web Intelligence server and stored in the report document. This leads to faster query execution and a more responsive reporting experience. The C_BOWI_30 exam will expect you to be proficient in creating various types of query filters, including filters on dates, numbers, and text, and using different operators to achieve the desired result.
Sometimes, you do not want to hard-code a filter value in your query. Instead, you want the user who runs the report to be able to choose the filter value each time. This is accomplished using "prompts." A prompt is a dynamic filter that presents a question to the user when they refresh the report. For example, you could create a prompt on the "Region" object that asks the user, "Which region would you like to see?" The user would then be presented with a list of available regions to choose from.
Prompts make your reports much more flexible and reusable. Instead of creating ten different reports for ten different regions, you can create a single report with a region prompt. This is a very common and important feature, and the C_BOWI_30 exam will definitely test your ability to create and manage them. When you create a filter in the Query Panel, you can simply select "Prompt" as the operand instead of providing a constant value.
You can customize the prompt's text and properties. You can make it mandatory or optional, and you can allow the user to select a single value or multiple values. Prompts are a key feature for creating interactive reports that empower users to self-serve their own data needs.
In some advanced reporting scenarios, you may need to retrieve data from two or more queries and combine the results. Web Intelligence allows you to do this using "combined queries." This is an advanced topic that is relevant for the C_BOWI_30 certification. There are three types of combined queries, which correspond to the set operators in SQL: Union, Intersection, and Minus.
A Union query combines the results of two queries and returns all the rows from both, removing any duplicates. This is useful when you need to get a list of objects from two different sets of criteria. For example, you could have one query that retrieves all customers who bought product A, and a second query that retrieves all customers who bought product B. A union of these two would give you a single list of all customers who bought either A or B.
An Intersection query returns only the rows that are common to both queries. In the example above, an intersection would give you only the customers who bought both product A and product B. A Minus query returns the rows from the first query that are not present in the second query. So, a minus query would give you the customers who bought product A but did not buy product B. Understanding the use cases for each of these combined query types is a mark of an advanced Webi user.
When you build a query, you select a set of result objects. However, you might want to be able to analyze your data by other dimensions that were not in your initial query result. This is where the "scope of analysis" comes in. This is a concept that was more prominent in the version of Webi relevant to the C_BOWI_30 exam. The idea is that you can include objects in the scope of analysis without including them in the main result set.
This allows you to retrieve a broader set of data into the document's microcube. Then, in the Report Panel, you can add these additional dimensions to your tables and charts to perform more detailed analysis without having to go back and edit the query. For example, your initial query might return sales by "Year" and "Country." But you could include "City" in the scope of analysis.
This means the data for each city is brought into the document, but it is not initially displayed. In the report, you could then use the drill-down feature to go from the "Country" level to the "City" level. In modern versions of Webi, this concept has been simplified, but understanding the idea of controlling the level of detail retrieved by your query is still very important.
Once a Webi document is created, its query is not set in stone. You can always go back and edit it. This is a common task and is a necessary skill for the C_BOWI_30 exam. To edit the query, you simply open the document and enter the "Data" or "Query" mode. This will take you back to the Query Panel, where you can add or remove result objects, modify your filters, or change your prompts.
After you have made your changes, you will run the query again to retrieve the new set of data. This will update the data provider within your document, and all the tables and charts in your report will automatically reflect the new data. This iterative process of refining your query is a core part of the ad-hoc analysis workflow.
You also need to know how to "refresh" a query. Refreshing a report means re-running its queries to get the latest data from the database, without changing the query definition itself. Users who are viewing reports will often need to refresh them to see the most up-to-date information. You can refresh a single query or all the queries in a document at once. Understanding the difference between editing and refreshing a query is fundamental.
Once you have successfully retrieved data using the Query Panel, the next and equally important phase is to present that data in a clear, concise, and meaningful way. This is the art of report design, a major domain covered in the C_BOWI_30 certification. An effective report is not just a dump of data; it is a well-structured document that tells a story and helps the business user to understand performance, identify trends, and make informed decisions.
The first step in report design is to understand your audience and the questions they are trying to answer. Is this a high-level summary for an executive, or a detailed operational report for an analyst? The answer to this question will guide your choices about what data to display and how to display it. For an executive, you might use charts and key performance indicators. For an analyst, you might use a detailed table with many columns.
Web Intelligence provides a rich set of tools for report design, which we will explore in this part of the series. This includes different types of tables and charts, extensive formatting options, and features for organizing and structuring your report. The C_BOWI_30 exam will test your ability to use these tools to turn a raw data set into a professional and effective business report.
Tables are the most common way to display data in a report, and the C_BOWI_30 exam will expect you to be proficient in creating and managing them. Web Intelligence offers several types of tables. The most basic is the "vertical table," which is the standard tabular format with columns and rows. When you first run a query, Webi typically presents the data in a vertical table by default. You can easily add, remove, or reorder the columns in the table by dragging and dropping objects from the "Available Objects" pane.
For analyzing data across two different dimensions, a "crosstab" (or pivot table) is often a better choice. A crosstab has rows, columns, and a body where the measure values are displayed. For example, you could create a crosstab with "Product Lines" as the rows, "Years" as the columns, and "Sales Revenue" in the body. This would give you a concise view of the sales performance of each product line over time.
You can convert a vertical table to a crosstab and vice versa. You can also create complex tables with multiple levels of headers in both the rows and columns. Mastering the creation and manipulation of tables is a fundamental skill for any Webi report designer and is a core competency tested in the C_BOWI_30 certification.
While tables are great for displaying detailed data, charts are much more effective for showing trends, comparing values, and highlighting patterns at a glance. Web Intelligence provides a wide variety of chart types, and knowing when to use each one is a key skill for the C_BOWI_30 exam. The most common types include bar charts for comparing values across categories, line charts for showing trends over time, and pie charts for showing the composition of a whole.
To create a chart, you can either add a new chart block to your report or you can "turn" an existing table into a chart. When you create a chart, you will need to assign objects from your data provider to the different axes. For example, in a bar chart, you would typically assign a dimension to the X-axis and a measure to the Y-axis. Webi provides a graphical interface for this that makes it easy to configure your chart.
You can also create more advanced charts, such as scatter plots for showing the relationship between two measures, or stacked bar charts for showing both the total and the breakdown of a measure. An effective report often uses a combination of tables and charts to provide both a high-level visual summary and the ability to drill down into the underlying details.
The default formatting of a table or chart in Webi is functional, but to create a professional-looking report, you will need to apply your own formatting. The ability to format report elements is an important topic for the C_BOWI_30 certification. Web Intelligence provides a comprehensive set of formatting options that allow you to control almost every aspect of your report's appearance.
For tables, you can control the font, color, and alignment of the text in the headers and cells. You can also adjust the borders, background colors, and the width of the columns. For charts, you can format the titles, legends, axes, and the colors of the data series. Consistent and thoughtful formatting can make your report much easier to read and can help to draw the user's attention to the most important information.
Webi also allows you to format numbers and dates. For example, you can format a sales revenue figure as currency with a specific number of decimal places, or you can format a date to show the day of the week. Taking the time to apply proper formatting is a key step in transforming a simple data dump into a polished and professional report.
To organize the data in your report and make it easier to analyze, you can use features like breaks and sections. These are fundamental data structuring techniques that are covered in the C_BOWI_30 exam. A "break" is used to group the rows in a table based on the values in a dimension. For example, you could apply a break to a sales table on the "Country" dimension. This would group all the rows for each country together and would typically insert a subtotal for the measures at the end of each group.
A "section" is a more powerful way to organize your data. When you apply a section to a report on a dimension, such as "Year," Webi will create a separate instance of the entire report (including all its tables and charts) for each value of that dimension. So, you would get a separate section for each year, with its own header. This is a great way to create a report book or to analyze data for different categories side-by-side.
You can also customize the headers, footers, and titles of your report to provide context. You can add text, images (like a company logo), and dynamic information, such as the date the report was last refreshed or the name of the user who is viewing it. Using these structural elements effectively is key to creating well-organized and easy-to-understand reports.
Web Intelligence provides several features for analyzing the data within your report blocks. The C_BOWI_30 certification will expect you to know how to use these features to answer specific business questions. The most basic of these is sorting. You can easily sort the data in a table in ascending or descending order based on the values in any column. This can help you to quickly see your top or bottom performers.
Grouping is similar to creating a break, but it is typically used in charts. For example, if you have daily sales data, you could group it by month to see the monthly trend in a line chart. Ranking is another powerful analytical feature. You can create a ranking to show just the top or bottom N values. For example, you could apply a ranking to a sales table to show only the top 10 best-selling products.
You can also create custom groups. For example, if you have a list of states, you could create a custom group that combines them into regions (e.g., "West," "Midwest," "East"). This allows you to perform analysis at a higher level without having to change the underlying query. These analytical features allow you to manipulate the data directly within the report to uncover valuable insights.
Conditional formatting is a feature that allows you to automatically change the format of a cell or a chart element based on the value of the data. This is a very effective way to draw a user's attention to important information, and it is a topic you should be familiar with for the C_BOWI_30 exam. For example, you could create a rule that automatically turns the text red for any sales figure that is below a certain target.
To use conditional formatting, you create a rule that consists of a condition and a format. The condition is a logical expression, such as "Sales Revenue is less than 10,000." The format is the change you want to apply when the condition is true, such as changing the background color of the cell to yellow. You can create multiple rules to handle different conditions.
Conditional formatting can be used in both tables and charts. In a chart, you could use it to change the color of a bar if its value exceeds a certain threshold. This visual cue can help users to spot exceptions and outliers much more quickly than if they had to scan through a large table of numbers. It is a simple but powerful tool for making your reports more insightful.
As mentioned in Part 1, a single Webi document can contain multiple report tabs. The ability to manage these tabs effectively is a key organizational skill for the C_BOWI_30 certification. Each tab can contain a different view of the data, allowing you to create a comprehensive analytical story within a single document. For example, you might have a "Summary" tab, a "Sales by Region" tab, and a "Product Detail" tab.
You can easily add, delete, rename, and reorder the tabs in your document. You can also duplicate a tab, which is a great way to create a new report that is similar to an existing one without having to start from scratch. It is a good practice to give your tabs meaningful names so that users can easily understand the content of each one.
You can also link report elements across different tabs. For example, you could have a summary table on the first tab, and when a user clicks on a specific value in that table, it could take them to another tab that shows the detailed data related to that value. This allows you to create a guided analytical path for your users. A well-structured, multi-tabbed report is often much more effective than a single, cluttered report.
Beyond basic report design and formatting, Web Intelligence offers a powerful set of tools for performing advanced data analysis. Mastering these techniques is crucial for tackling the more complex scenarios presented in the C_BOWI_30 certification. These features allow you to go beyond the data that is directly returned by your query and to create new calculations, perform "what-if" analysis, and combine data from different sources to gain deeper insights.
This part of the series will focus on the analytical capabilities that are performed within the Webi document itself, after the data has been retrieved. This includes creating custom formulas and variables, understanding how calculations behave in different contexts, merging data from multiple queries, and implementing interactive features like drilling and input controls. These are the skills that separate a basic report creator from a true data analyst.
A solid grasp of these advanced features will not only prepare you for the C_BOWI_30 exam but will also enable you to answer much more complex business questions and deliver significantly more value to your organization. These are the tools that allow you to move from simply reporting on what happened to analyzing why it happened.
One of the most powerful features in Web Intelligence is the ability to create your own formulas and variables. This is a fundamental advanced skill and a guaranteed topic on the C_BOWI_30 exam. A formula or a variable allows you to perform a calculation or manipulate data within the report, without having to change the underlying universe or database. For example, if your query returns "Sales Revenue" and "Cost," you could create a new variable called "Profit" with the formula =[Sales Revenue] - [Cost].
To create a formula, you use the Formula Editor, which provides a rich set of functions and operators. You can perform mathematical calculations, manipulate text strings, work with dates, and use logical functions like If...Then...Else. Once you create a variable, it appears in your "Available Objects" pane, and you can use it in your tables and charts just like any other object from your query.
There are three types of variables: dimension, measure, and detail. You choose the qualification of the variable based on the type of data it will return. For example, our "Profit" variable would be a measure, as it returns a number that can be aggregated. The ability to create custom variables is essential for performing any kind of non-trivial analysis in Webi.
When you use a formula or an aggregation in a report, it is critical to understand the "context" in which it is being calculated. This is a complex but essential topic for the C_BOWI_30 certification. The calculation context is determined by the dimensions that are present in the block (table or chart) where the calculation is being used. For example, a Sum([Sales Revenue]) formula in a table that contains the "Country" dimension will calculate the sum of sales for each country.
However, sometimes you need to break out of this default context. For example, you might want to calculate the percentage of total sales that each country represents. To do this, you would need a formula like =[Sales Revenue] / Sum([Sales Revenue]) In Report. The In Report keyword tells Webi to calculate the sum of sales revenue over the entire report, ignoring the "Country" dimension in the table. This allows you to compare the value for a specific context (a country) to the value for a broader context (the whole report).
Web Intelligence provides a set of context operators, such as In, ForAll, and ForEach, that give you precise control over how your calculations are performed. Mastering these operators is a key step in becoming an advanced Webi user and is necessary for solving many of the calculation-based problems on the C_BOWI_30 exam.
A single Web Intelligence document can contain data from more than one query. Each query you create is called a "data provider." The ability to work with multiple data providers is an advanced feature that is covered in the C_BOWI_30 certification. This is useful when you need to bring data from different sources into a single report. For example, you might have one query that retrieves sales data from your sales data warehouse and a second query that retrieves sales targets from a separate spreadsheet.
Once you have multiple data providers in your document, you can display the data from each one in separate tables or charts. For example, you could have one table showing the actual sales and a second table showing the sales targets. This allows you to compare and contrast data from different subject areas or even different physical databases within a single, unified report document.
However, the real power of multiple data providers comes when you combine the data from them. To do this, you need to tell Web Intelligence how the data from the different queries is related. This process is called "merging dimensions" and is a critical topic that we will discuss next.
When you have data from two or more data providers in a single document, and you want to display it in a single table or chart, you need to "merge" the common dimensions. This is a very important advanced concept for the C_BOWI_30 exam. Merging tells Web Intelligence that a dimension from one query represents the same thing as a dimension from another query. For example, you might need to merge the "Year" dimension from your sales query with the "Year" dimension from your sales target query.
Once you have merged the common dimensions, you can create a single table that includes measures from both data providers. For example, you could have a table with the merged "Year" dimension, the "Sales Revenue" measure from the first query, and the "Sales Target" measure from the second query. This would allow you to see your actual sales versus your target for each year, side-by-side.
Web Intelligence provides an interface for managing merged dimensions. It will often automatically detect dimensions with the same name and suggest that you merge them. However, you can also manually create and manage these links. Proper use of merged dimensions is the key to creating integrated reports that combine data from multiple sources.
Many business dimensions have a natural hierarchy. For example, a time hierarchy might be Year > Quarter > Month, and a geographic hierarchy might be Country > State > City. Web Intelligence provides a "drilling" feature that allows users to navigate up and down these hierarchies interactively. This is a key feature for data exploration and is a topic on the C_BOWI_30 exam.
When drilling is enabled on a report, the user can click on a value in a table or chart to see the next level of detail. For example, they could click on the "2024" bar in a sales by year chart, and the chart would "drill down" to show the sales for each quarter in 2024. They could then click on a quarter to see the sales for each month in that quarter. This allows users to start with a high-level summary and then explore areas of interest in more detail.
For drilling to work, the hierarchy must be defined in the universe. The universe designer will specify the relationships between the different levels of the hierarchy. As a report designer, your job is to enable the drilling mode and to create reports that are suitable for hierarchical analysis. Drilling provides a powerful, interactive analytical experience for the end-user.
Input controls are another feature that can make your reports more interactive for the end-user. The C_BOWI_30 certification will expect you to be familiar with this feature. An input control is a filter-like element, such as a drop-down list or a radio button, that you can add to the side of your report. It is linked to a specific dimension in your report. When the user selects a value from the input control, all the tables and charts in the report that use that dimension will be automatically filtered.
For example, you could create an input control for the "Region" dimension. The user would then see a list of regions. If they select "North America" from the list, all the report blocks would instantly update to show data for only that region. This provides a very intuitive "what-if" analysis capability for the user.
Input controls are different from query prompts. A prompt filters the data when the query is refreshed from the database. An input control filters the data that is already present in the Webi document. This means that filtering with an input control is instantaneous, as it does not require a round trip to the database. They are a great tool for creating interactive dashboards and analytical reports.
The Formula Editor in Web Intelligence provides a rich library of built-in functions that you can use in your variables. A good working knowledge of these functions is essential for the C_BOWI_30 exam. The functions are organized into categories, such as Numeric, String, and Date functions.
Numeric functions allow you to perform mathematical operations, such as Round(), Abs(), and Sqrt(). String functions allow you to manipulate text. For example, you could use the Substr() function to extract a part of a product code, or the Pos() function to find the position of a specific character in a string. You can also use functions like UpperCase() and LowerCase() to change the case of text.
Date functions are particularly useful. You can calculate the difference between two dates using DaysBetween(), get the current date with CurrentDate(), or extract parts of a date, such as the year or the month, using functions like Year() and Month(). The ability to combine these functions with logical operators in If...Then...Else statements allows you to create very sophisticated business logic directly within your report.
Creating insightful reports is only half the battle; you also need to effectively manage and share them with the intended audience. This final stage of the business intelligence lifecycle is a key part of the knowledge required for the C_BOWI_30 certification. Once you have created a Web Intelligence document, you save it to the SAP BusinessObjects BI platform repository. This central repository is where all BI content is stored and secured.
When you save a document, you will place it in a specific folder. The platform uses a folder-based security model, similar to a file system. Access to folders and the documents within them is controlled by the system administrator. They can grant different levels of access, such as view, edit, or full control, to different users and groups. As a report developer, you need to understand how to save your documents in the appropriate locations so that the correct users can access them.
You can also perform other management tasks, such as creating copies of documents, moving them between folders, and deleting them when they are no longer needed. Proper document management is essential for keeping your BI environment organized and secure. The C_BOWI_30 exam will expect you to be familiar with these basic content management principles.
The BI Launchpad, known as InfoView in the XI 3.x era relevant to the C_BOWI_30 certification, is the primary web portal for users to interact with BI content. A deep familiarity with this portal is a prerequisite for the exam. The Launchpad provides a personalized and secure entry point for all users. When a user logs in, they see a home page that can be customized to show their most frequently used reports and any alerts or notifications.
The main feature of the Launchpad is the "Documents" tab, which allows you to browse the folder structure of the repository to find and run reports. You can search for documents by name, keyword, or other properties. The portal also provides a "BI Inbox," where users can receive instances of reports that have been scheduled and sent to them by other users or by an automated process.
The BI Launchpad is also where users can manage their preferences, such as their preferred language and time zone, and where they can access the Web Intelligence application to create new documents or edit existing ones. For many business users, the BI Launchpad is their main window into the world of corporate data, so understanding how to navigate and use it effectively is a fundamental skill.
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