Kyligence Zen product experience--an indicator platform that beginners can quickly get started with

1. Write first

What is Kyligence Zen ?
Kyligence Zen is a one-stop indicator platform based on Kyligence's core OLAP capabilities. With a solution that integrates business models, indicator management, indicator processing, and data services, Kyligence has assisted many financial, retail, and manufacturing enterprise customers to build enterprise-level indicator platforms. Kyligence Zen is a standardized product created by Kyligence based on its rich index platform construction practice. It hopes to solve the pain points of index management, analysis and application faced by enterprises through portable and easy-to-use products, and help enterprises build digital management systems and realize index-driven management and decision-making .

2. Practical operation

2.1 Account registration

First of all, as a new user, if you want to try Kyligence, you need to register an account on the official website. Kyligence provides a 14-day free trial for all users, so that you can better understand this platform. If the free version of Kyligence Zen cannot meet your needs , then you can also upgrade to Standard Edition or Enterprise Edition.
https://zen-docs.kyligence.io/appendix/create-account

2.2 Interface overview

After successfully logging in to the platform, you can see that the interface of Kyligence Zen is very simple and clear, directly speaking with data. Considering that new users do not know how to operate, in addition to the official documentation, a quick start
button is also provided in the lower left corner of Kyligence , allowing users to have a general understanding of the platform through the simplest steps. In addition, the functions are listed intuitively in the navigation bar, including indicators, data, etc.

2.3 Data import

In the official blog case, "Delivery truck trips data" is used as the sample data. If you are interested, you can also take a look at it. https://zen-docs.kyligence.io/blog This practice is provided by
the official To do it with a data set, the file used is "cloud_billing_sample.csv", and the sample data can be downloaded by creating a new table on the data page

Data processing

First of all, we need to process the data a little bit and modify the column names of the CSV file to enhance readability

before fixing

after modification

import to platform

First, select data in the function bar at the top of the page, and then, as shown in the figure below, create a new table and add the corresponding .csv file. After the file is uploaded, it will jump to the following page. Users can modify the table according to their needs , such as setting the table name and column name, after confirming that it is correct, create it.
As you can see, only some rows are listed in the table so you can confirm the format.

2.4 New indicators

First, we need to go back to the indicator page, and then switch to the uncategorized indicator category, so that the indicator page only displays the indicators we want to create. Then, click New (the blue button) in the upper right corner to jump to the indicator creation page.
In the indicator type, we choose—basic indicator—as the demonstration of this sample data.
On the detailed information page of the newly created indicator, we need Set the following
indicator definition

• The selection table is ---- cloud_billing_sample
• Choose to be listed as—RMB cost
• Aggregation method—SUM
• Format-
• Dimensions—select all
• Filter—as an option, of course, in this case, the owner and CRR have unknown values. If you need to filter, please select the corresponding dimension. After selecting all in the filter, unselect the unknown value

date & time

• Time Dimension Selection—Deadline Date
• Time granularity—you can choose according to your own needs
• Indicator value display method----display all data

display settings

• Metric Name—Custom
• Description—optional

2.5 View Indicators

chart

Once the indicator is successfully created, we can view it immediately on the indicator page. By clicking its card, we can directly enter the detailed information page of the indicator.
We can display the dimensions and icon types to be viewed according to our needs.

Attribution Analysis

Users can choose the dimensions to be analyzed according to their own needs, up to 5, as shown in the figure below, once you select the dimensions to be analyzed, click Analyze, and wait for a few seconds to get the analysis results

definition

On the definition page, we can see some specific parameters previously set when creating indicators, as shown in the figure

2.6 Setting goals

new indicator

Like 2.4 , we create two different indicators according to different cloud platforms, namely AWS and Azure, and use them as the sub-target data of the target

In the indicator definition,
except for the filter needs to be set, the others are consistent with 2.4

Filter —Select Platform, check AWS CN and AWS Global / Azure CN and Azure Global. For CRR and owner need to set same as 2.4

set goals

create main target

First, you need to create a new target, name it—cloud service total cost, set the corresponding data, use the previously created cloud service cost as an indicator , and set a target value for the target, in this example cloud The target value of the total service cost is 50000000. Finally, you need to create a target rule to display the status of the target. You can also obtain the status change of the target by following the status button, as shown in the following figure

Create subgoals

The creation method is the same as that of the main goal, but it should be noted that creating a subgoal is to create a new subgoal by clicking the Create subgoal button in the main goal entry , as shown in the figure below

2.7 Setting up the Dashboard

Enter the Dashboard page, create a new dashboard, and then add the three indicators created in Sections 2.4 and 2.6 in this example, and then edit the indicators in the canvas to achieve the indicator style required by the user, as shown in the figure below

3. Summary

This example is written by reading the official instruction manual and official blog posts. The overall experience feels very convenient. Even a novice like the author who has never used it can quickly master the use of the Kyligence Zen platform. Through a few simple The data can be analyzed visually in one step, so I also summarized some advantages of Kyligence Zen

1. Efficiency: The underlying engine of Kyligence Zen uses OLAP technology, which enables users to conduct data mining and analysis faster to improve the efficiency of business decisions.
2. Flexibility: Kyligence Zen's data model is very flexible, supports many different dimensions and measures, and can perform multi-dimensional analysis and slicing. This enables users to create different data models and data sets according to different business needs to meet different analysis needs.
3. Ease of use: The web interface of Kyligence Zen is very intuitive, and all functions are categorized and displayed in different tabs, so that users can easily find the functions they need. At the top of the interface, there are also a series of shortcut buttons, which are convenient for users to perform quick operations.

To sum up, Kyligence Zen provides a very flexible and friendly data visualization function, which can help users understand and analyze data more intuitively. It provides powerful data visualization functions and preset data analysis templates, which are very easy to use, and at the same time , users can also complete complex data analysis and mining tasks through simple operations. Especially for users who need large-scale data processing and in-depth analysis, and have certain data analysis foundation and skills, then Kyligence Zen can help them obtain data information and insights more quickly and accurately.