reports:how_to
Differences
This shows you the differences between two versions of the page.
| Next revision | Previous revision | ||
| reports:how_to [2024/05/13 07:21] – created How-TO antonio.andriychuk | reports:how_to [2024/10/08 09:01] (current) – Added Images and minor changes antonio.andriychuk | ||
|---|---|---|---|
| Line 1: | Line 1: | ||
| - | ====== Reports : How-To ====== | + | ====== |
| + | |||
| + | |||
| + | In the following guide, you will learn how to create custom reports. As per standards, the BeCloud platform provides a series of built-in reports that will help the customer to analyze the overall statistics of any kind of interaction flow. But, since the built-in reports don't provide some data (eg. when you build a custom flow, or when the customer demands to retrieve a specific data), they can be customized by a BeCloud Technician to satisfy the customer demand. | ||
| + | \\ | ||
| + | To be able to create a custom report, you must meet some requirements, | ||
| + | * An average knowledge of SQL, the more focussed on MariaDB, the merrier; \\ | ||
| + | * Have installed a query constructor application; | ||
| + | * Have installed JasperSoft Reports Studio; \\ | ||
| + | If this is your first time downloading this kind of software, please refer to the Resources chapter of this tutorial for a list of readily available resources. \\ \\ \\ | ||
| + | |||
| + | |||
| + | ===== Resources ===== | ||
| + | As per resources where download some applications, | ||
| + | * SQL formulas and tricks: https:// | ||
| + | * DBeaver - SQL Constructor: | ||
| + | * JasperSoft Reports Studio - Report builder: https:// | ||
| + | \\ \\ | ||
| + | |||
| + | ===== Configuration ===== | ||
| + | After installing the JasperSoft Reporting Application, | ||
| + | **A quick disclaimer: __the downloaded version of JasperSoft Reporting Application doesn' | ||
| + | |||
| + | First, in order to retrieve the correct version to be used, it is necessary to navigate to the Help Page of BrightPattern. On the " | ||
| + | Inside you will find a file named " | ||
| + | |||
| + | {{: | ||
| + | |||
| + | Now, open your JasperSoft application, | ||
| + | After you can just "Apply and Close" to apportion the changes, a quick restart of the Application is recommended. | ||
| + | \\ | ||
| + | |||
| + | {{: | ||
| + | |||
| + | \\ \\ | ||
| + | ====== Building the Custom Report ====== | ||
| + | |||
| + | Starting with Building the Custom Report. \\ | ||
| + | For starters, you must log in to the Admin page of the tenant in which the custom report will be uploaded. This is because the custom report will be based on an existing report, which will be called " | ||
| + | As per the Example of this scope, the following tutorial will be based on the report Call Detail and the custom report built for Beeasy " | ||
| + | |||
| + | \\ | ||
| + | The scope of this report was to have a monthly/ | ||
| + | |||
| + | Open the .jrxml file with the JasperSoft Report Studio application and double-click the columns to access the edit page where the main SQL query is located (1) and access the " | ||
| + | |||
| + | {{: | ||
| + | {{: | ||
| + | |||
| + | \\ | ||
| + | |||
| + | Here you will have a template query where you can build your desired query. In the case of the report " | ||
| + | < | ||
| + | SELECT | ||
| + | id, | ||
| + | start_time, | ||
| + | DATE_FORMAT(start_time, | ||
| + | DATE_FORMAT(start_time, | ||
| + | (CASE | ||
| + | WHEN custom1 LIKE ' | ||
| + | WHEN custom1 LIKE ' | ||
| + | WHEN custom1 LIKE ' | ||
| + | WHEN custom1 LIKE ' | ||
| + | END) as nv. | ||
| + | COUNT(CASE | ||
| + | WHEN queue_time > 0 OR pending_time > 0 THEN 1 | ||
| + | END) as offered, | ||
| + | COUNT(CASE | ||
| + | WHEN (talk_time > 0) AND (disposition NOT LIKE ' | ||
| + | END) as answered, | ||
| + | ROUND((COUNT(CASE | ||
| + | WHEN (talk_time > 0) AND (disposition NOT LIKE ' | ||
| + | END) * 100) / NULLIF(COUNT(CASE) | ||
| + | WHEN queue_time > 0 OR pending_time > 0 THEN 1 | ||
| + | END), 0), 2) as perc_answered, | ||
| + | (COUNT(CASE | ||
| + | WHEN queue_time > 0 OR pending_time > 0 THEN 1 | ||
| + | END) - COUNT(CASE | ||
| + | WHEN (talk_time > 0) AND (disposition NOT LIKE ' | ||
| + | END)) as abandoned, | ||
| + | ROUND(99 + (COUNT(CASE)) | ||
| + | WHEN queue_time > 0 OR pending_time > 0 THEN 1 | ||
| + | END) - COUNT(CASE | ||
| + | WHEN (talk_time > 0) AND (disposition NOT LIKE ' | ||
| + | END) * 100 ) / NULLIF(COUNT(CASE) | ||
| + | WHEN queue_time > 0 OR pending_time > 0 THEN 1 | ||
| + | END), 0), 2) as perc_abandoned, | ||
| + | (SUM(queue_time) + SUM(pending_time)) as tma, | ||
| + | AVG(talk_time) as tmc, | ||
| + | COUNT(CASE | ||
| + | WHEN pending_time < 5 AND (disposition NOT LIKE ' | ||
| + | END) as answered_5, | ||
| + | COUNT(CASE | ||
| + | WHEN pending_time < 10 AND (disposition NOT LIKE ' | ||
| + | END) as answered_10, | ||
| + | COUNT(CASE | ||
| + | WHEN pending_time < 20 AND (disposition NOT LIKE ' | ||
| + | END) as answered_20, | ||
| + | COUNT(CASE | ||
| + | WHEN pending_time < 30 AND (disposition NOT LIKE ' | ||
| + | END) as answered_30, | ||
| + | COUNT(CASE | ||
| + | WHEN pending_time < 40 AND (disposition NOT LIKE ' | ||
| + | END) as answered_40, | ||
| + | (COUNT(CASE | ||
| + | WHEN (queue_time < 5 OR pending_time < 5) AND (disposition LIKE ' | ||
| + | END) - COUNT(CASE | ||
| + | WHEN (talk_time < 0) AND (disposition LIKE ' | ||
| + | END)) as abandoned_5, | ||
| + | (COUNT(CASE | ||
| + | WHEN (queue_time < 10 OR pending_time < 10) AND (disposition LIKE ' | ||
| + | END) - COUNT(CASE | ||
| + | WHEN (talk_time < 0) AND (disposition LIKE ' | ||
| + | END)) as abandoned_10, | ||
| + | (COUNT(CASE | ||
| + | WHEN (queue_time < 20 OR pending_time < 20) AND (disposition LIKE ' | ||
| + | END) - COUNT(CASE | ||
| + | WHEN (talk_time < 0) AND (disposition LIKE ' | ||
| + | END)) as abandoned_20, | ||
| + | (COUNT(CASE | ||
| + | WHEN (queue_time < 30 OR pending_time < 30) AND (disposition LIKE ' | ||
| + | END) - COUNT(CASE | ||
| + | WHEN (talk_time < 0) AND (disposition LIKE ' | ||
| + | END)) as abandoned_30, | ||
| + | (COUNT(CASE | ||
| + | WHEN (queue_time < 40 OR pending_time < 40) AND (disposition LIKE ' | ||
| + | END) - COUNT(CASE | ||
| + | WHEN (talk_time < 0) AND (disposition LIKE ' | ||
| + | END)) as abandoned_40 | ||
| + | FROM | ||
| + | beeasy_it.call_detail cd | ||
| + | WHERE | ||
| + | start_time >= $P{start_time} AND start_time < $P{end_time} | ||
| + | AND disposition NOT LIKE ' | ||
| + | AND service_name = 'Linea Gestioni' | ||
| + | AND caller_phone_type = ' | ||
| + | AND (media_type <> ' | ||
| + | AND (CASE | ||
| + | WHEN custom1 LIKE ' | ||
| + | WHEN custom1 LIKE ' | ||
| + | WHEN custom1 LIKE ' | ||
| + | WHEN custom1 LIKE ' | ||
| + | END) IS NOT NULL | ||
| + | AND (queue_time > 0 or pending_time > 0) | ||
| + | GROUP BY | ||
| + | DATE_FORMAT(start_time, | ||
| + | (CASE | ||
| + | WHEN custom1 LIKE ' | ||
| + | WHEN custom1 LIKE ' | ||
| + | WHEN custom1 LIKE ' | ||
| + | WHEN custom1 LIKE ' | ||
| + | END) asc; | ||
| + | </ | ||
| + | |||
| + | \\ | ||
| + | ===== Developing the report: Query ===== | ||
| + | To develop a query, open the " | ||
| + | As an example, let's think about a customer that is requesting a report that can display these data: \\ | ||
| + | * Date; | ||
| + | * Inbound Calls Received; | ||
| + | * Outbound Calls Made; | ||
| + | * Service-name; | ||
| + | * Talk-Time; | ||
| + | * Average Talk Time; | ||
| + | * Max Talk Time; | ||
| + | |||
| + | This report has a special request: it must be displayed on a daily basis and on a monthly basis alongside the year. \\ | ||
| + | Next, open query constructor application and start to develop the query. Following the previous example the query will turn out like this: \\ | ||
| + | < | ||
| + | SELECT | ||
| + | YEAR(start_time) AS year, | ||
| + | IF($P{interval} = " | ||
| + | WHEN MONTH(start_time) = 1 THEN " | ||
| + | WHEN MONTH(start_time) = 2 THEN " | ||
| + | WHEN MONTH(start_time) = 3 THEN " | ||
| + | WHEN MONTH(start_time) = 4 THEN " | ||
| + | WHEN MONTH(start_time) = 5 THEN " | ||
| + | WHEN MONTH(start_time) = 6 THEN " | ||
| + | WHEN MONTH(start_time) = 7 THEN " | ||
| + | WHEN MONTH(start_time) = 8 THEN " | ||
| + | WHEN MONTH(start_time) = 9 THEN " | ||
| + | WHEN MONTH(start_time) = 10 THEN " | ||
| + | WHEN MONTH(start_time) = 11 THEN " | ||
| + | WHEN MONTH(start_time) = 12 THEN " | ||
| + | END, DATE_FORMAT(start_time, | ||
| + | COUNT(CASE | ||
| + | WHEN caller_phone_type = ' | ||
| + | END) AS calls_received, | ||
| + | COUNT(CASE | ||
| + | WHEN caller_phone_type = ' | ||
| + | END) AS calls_made, | ||
| + | SUM(CASE | ||
| + | WHEN caller_phone_type = ' | ||
| + | AND (queue_time > 0 OR pending_time > 0) AND talk_time > 0 THEN talk_time | ||
| + | END) AS talk_time, | ||
| + | AVG(CASE | ||
| + | WHEN caller_phone_type = ' | ||
| + | AND (queue_time > 0 OR pending_time > 0) AND talk_time > 0 THEN talk_time | ||
| + | END) AS avg_talk_time, | ||
| + | MAX(CASE | ||
| + | WHEN caller_phone_type = ' | ||
| + | AND (queue_time > 0 OR pending_time > 0) AND talk_time > 0 THEN talk_time | ||
| + | END) AS max_talk_time | ||
| + | FROM test_com.call_detail cd | ||
| + | WHERE start_time >= $P{start_time} AND start_time < $P{end_time} | ||
| + | AND media_type = " | ||
| + | GROUP BY IF($P{interval} = " | ||
| + | </ | ||
| + | |||
| + | As you can see, we're trying to gather all of the informations from the previous example and merge it all in one query. \\ | ||
| + | This is the description of each element that is composing the query: \\ | ||
| + | * __start_time__: | ||
| + | * __$P{start_time}__: | ||
| + | * __caller/ | ||
| + | * __queue_time or pending_time__: | ||
| + | * __talk_time__: | ||
| + | |||
| + | |||
| + | {{: | ||
| + | |||
| + | After developing the query, we can move to Jasper to continue with building the front-end of the report. \\ \\ | ||
| + | |||
| + | ===== Developing the report: Jasper ===== | ||
| + | Moving to Jasper, we must add the previously built query in the DataSet and Query dialog panel. \\ | ||
| + | Then, procceed to " | ||
| + | |||
| + | Since we're trying to insert also parameters, we must move to the next tab called " | ||
| + | |||
| + | {{: | ||
| + | |||
| + | Thereafter you have to create or use each column with a custom label of the column and on each field of the column you can build the desired report. Following the given example, the reports from the builder will look something like this: | ||
| + | |||
| + | {{: | ||
| + | |||
| + | Be aware that sometimes, you have to partially alterate some fields functionalities, | ||
| + | Also, it may happen that once you finish with the report and launch it in the admin page you will not see some fields. To fix this you have to select the column, go to " | ||
| + | |||
| + | |||
| + | ===== Developing the report: Front-end ===== | ||
| + | After creating the back-end (with queries and construction of fields and parameters) it's time to develop the front-end, so the web-page that an user will see once launching the report. \\ | ||
| + | In this topic, we're going to: | ||
| + | * Change the hyperlink from " | ||
| + | * Streamline the query to run a 'lil faster; | ||
| + | * Creating parameters fields and link them to the query; | ||
| + | |||
| + | {{: | ||
| + | |||
| + | \\ \\ | ||
| + | ==== Change the Hyperlink ==== | ||
| + | To change the Hyperlink, you must first select the Brightpattern in the "Main report" | ||
| + | \\ Then, procceed with changing the value of the field from " | ||
| + | |||
| + | {{: | ||
| + | |||
| + | \\ \\ | ||
| + | ==== Streamline the query ==== | ||
| + | This step is more easier than expected, this step is also important to make the report able to only take the tenant dataset and not every tenant. In order to apply this explaination in query terms, open the DataSet of the first page and change the FROM call_detail (as an example, change the table to the interested one or where you've been requested to develope a look-alike report) to FROM (tenant dataset).call_detail . | ||
| + | \\ As an example, if I have to make a report on the beincontact.it tenant you must insert: "FROM test_com.call_detail"; | ||
| + | Another worth mention is that, in order to create a more streamline and fast query, if it is requested to only extract the query on a single service, add this service on the WHERE condition. | ||
| + | |||
| + | {{: | ||
| + | |||
| + | \\ \\ | ||
| + | ==== Parameters and Link ==== | ||
| + | In order to create a better-streamlined-work I suggest to copy the created parameter from the " | ||
| + | \\ As per the provided example, we're going to select " | ||
| + | |||
| + | {{: | ||
| + | |||
| + | Next, another thing worth to do in order to require an input from the User is to navigate on the " | ||
| + | |||
| + | {{: | ||
| + | |||
| + | \\ \\ | ||
| + | ====== Conclusions ====== | ||
| + | Once done this small report as an example, save it and upload the report on the " | ||
| + | \\ As you could' | ||
reports/how_to.1715584894.txt.gz · Last modified: by antonio.andriychuk
