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as the document author, should seem for ways to latest the information in a layout that makes the exploration system less difficult for the consumers. This chapter provides examples of elementary studies that latest statistics.This chapter is from the publication
one of the largest advantages of growing stories in IBM® Cognos® business Intelligence (BI) is that you should now create one (or greater) stories that will also be designed to in shape how business clients system suggestions. These patrons do not should wade through waves of report pages. A series of small reviews that independently focus on certain suggestions can link to other experiences. we will take a glance at the usage of drill-via in the next chapter, however remember to appear for methods to simplify the reviews at each possibility.
This skill you, as the document author, may still seem for methods to existing the statistics in a structure that makes the exploration procedure simpler for the buyers. This chapter offers examples of simple experiences that current data.
In our practicing courses, we always hear from college students who wish to create very complicated reviews. We begin by way of asking what the users should accomplish with the document and begin to build the document the use of an iterative building block process.
This chapter items a few reports which are designed to leverage facets to create reviews that focal point on a particular task.
You had been asked by way of the product advertising and marketing personnel to create a product catalog. should you ask how it should be used, the market analyst desires to be capable of finding descriptions of items that use particular phrases to be sure that the correct messages are attaining the customer.
Search know-how has become sophisticated ample that documents may also be looked for textual content and the phrases will also be highlighted to permit the searcher to focal point on the textual content. The analyst would like to simulate that functionality in the file.
This document should still be capable of instantaneous the user for a key term and return an inventory of product descriptions that contain the phrase and highlight the selected text. The remaining effect should seem like determine 1.1.Design
The trick to fixing this problem is to utilize a couple of string functions that are available in IBM Cognos file Studio in an effort to discover the requested a part of the text and then reduce the previous and succeeding textual content. as soon as the searched text box has been separated into three ingredients, we can use the common sense inside our question objects to put the strings again collectively within a single column and highlight handiest the searched textual content.
The checklist file should still filter on best those products that comprise the hunt textual content.Step-by using-Step
the key steps contain the creation of a question that parses the product description and eliminates any products that do not have the matching phrase. With the question built and confirmed, the listing document is designed.Step 1: delivery the document
We can be the use of the income (question) namespace internal the income and advertising and marketing (question) folder.
the key part of this record is the ability to parse the textual content of the record description for chosen textual content. This step defines both fields.
The records merchandise Expression window opens.
This creates a parameter referred to as SearchText and assigns the price to the facts merchandise we simply created. We may be looking for the text that will be typed into the server-generated prompt because we are able to no longer create a instant web page on our own in this instance.
during this area, we will add the important thing performance to the query. First, we will add a feature to seek the matching text. If a suit is discovered, we can break up the outline into three fields. If a healthy is not found, we can go away the description within the first container.
The statistics item Expression window opens.
The place feature returns an integer value that represents the place the primary personality of the searched text starts off within the Product description string. If no healthy is discovered, the place feature returns a 0.
The statistics item Expression window opens.
If the searched text doesn't exist within the Product description container, then we are able to set this primary container to the full product description.
In case the string is discovered, we are looking to bring to an end the textual content that precedes the string we are searching for, including the area before the string. here's why we use [Position] - 1 because the third argument in the substring characteristic.
The information merchandise Expression window opens. This field consists of the textual content to be highlighted best if the textual content is found.
The statistics item Expression window opens.
If the searched text doesn't exist within the Product description container, we can simply default to an empty string.
If we do locate the text, PartThree should contain text it truly is after the searched string, together with the house after the searched string. here's why we deserve to use personality size services to determine the positioning of the starting element for the substring characteristic and the length of the closing string.
This completes our record query build.
sample textual content for a search that you simply could use is rope.
Your consequences can be similar to figure 1.2.
Now we are able to add the three elements to a listing column named Product description.
Your design should look similar to figure 1.three.
When brought about, click on within the supply a value instant field and type glasses.
Your outcomes should still seem comparable to determine 1.5.
The core construction of this document is entire; what's left are the finishing touches. we will add additional information aspects for the product catalog and filter the document to demonstrate best the items whose descriptions comprise the keyword that was entered at runtime.
The aspect Filter Expression dialog box opens and shows [Position] within the Expression Definition field.
Your expression should now be this:[Position] <> 0.
This ensures that most effective product statistics with descriptions containing the key phrase get retrieved from the database.
The report Expression dialog field window opens.
Your file design should still now appear comparable to determine 1.6.
Your results should still appear to be determine 1.7.
by using a combination of string capabilities, we have been in a position to split the customary textual content container into three textual content items that contained all textual content before the searched string, the genuine search string, and all textual content after the searched string, respectively. as soon as the query turned into built, we were able to use an easy IBM Cognos document Studio constructed-in feature to release the record listing cells as a way to be capable of condense the document and combine all of the row statistics in one described column.
Our careful string manipulation and straightforward font-color exchange allowed us to create an illusion of notice highlighting within a larger textual content field in response to the word search entered by means of the person at runtime.
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