Kyligence Zen Product Experience --- Knowing the True Face of Lushan for the First Time

Introduction

Kyligence Zen is a data analysis tool, and its market positioning is a one-stop cloud indicator platform. Based on Kyligence's core OLAP (On-Line Analytical Processing) capability, it provides a one-stop service integrating business models, index management, index processing, and data services.

Its basic structure is shown in the figure below:

I will briefly introduce OLAP here by the way:

OLAP refers to Online Analytical Processing. It is the main application of the data warehouse system, which can perform complex multi-dimensional analysis, trend analysis and data modeling on business data, and provide complex calculations and intuitive and easy-to-understand query results, enabling users to quickly and consistently analyze information from multiple perspectives , Access and view interactively to provide focus for decision-making.

From this concept, we can see how powerful Kyligence Zen is. Then this article will start from the actual experience and show you the true face of Kyligence Zen.

register

Kyligence Zen has opened a free trial for a long time, and everyone can enter the official website to register , but at present, corporate email users are recommended first.

And this free trial time is only 14 days, so it is recommended that you register after you are ready to avoid waste.

The entire registration process only needs to enter basic information and verify whether the email address is valid, which is very simple and fast.

It should be noted that if you forget your registration information when you log in again, you can check it in your mailbox. After the registration is complete, Kyligence Zen will send an email to your mailbox, which contains information such as the organization name, account number and password, which is really considerate for forgetful people like me.

use

Kyligence Zen has a lot of built-in indicator templates, and each set of templates has indicator systems, business target systems, dashboards, etc. If you can't find one that meets your needs, you can also upload local data through the one-click import function to build your own template.

Use built-in templates

Let's take a look at the specific functions of the template through the " E-commerce Channel Marketing Analysis Indicators ". '

Suppose I am the channel leader of an e-commerce brand, and I hope to improve the seller's growth curve through some marketing strategies, operating strategies, and pricing strategies, so as to achieve revenue growth and profit growth.

Relying on the core logic in e-commerce business scenarios: GMV=traffic * conversion (new and old customers) * customer unit price (revenue, cost), I need to pay attention to channel input-output ratio, customer unit price, new user retention and old user transaction Quantitative and other key indicators.

The following is an attribution analysis based on the simplest channel input-output ratio:

From the picture above, it can be clearly seen that the two channels (Fu Xiaozhu & B Xiaozhu) have changed and contributed in three years, which helps me make a more accurate judgment on the channels.

In addition, I can also use the dashboard to analyze specific data in multiple dimensions such as time, region, and category to get some effective conclusions.

If I set a sales target for the next year, then through the target option, I can more clearly control every step in the process of achieving the target.

In the process of achieving the goal, more targeted solutions to risk items can greatly help me save time and energy.

build yourself

Kyligence Zen provides one-click import of data, which can help users quickly build templates that meet their own business needs.

1. Import data

By 数据>新建entering the import page, you can import local csv files or link to Amazon S3.

Please note two points here

⚠️ Regardless of whether it is imported from an Amazon S3 bucket or uploaded locally, the file encoding is required to be UTF-8, and the field delimiter is an English comma (,), vertical bar (|) or English semicolon (;) ⚠️ If you upload a
local CSV file, the file size needs to be less than 200 MB.

2. Correlation indicators

Data analysis is carried out through indicators, select in the import generated data column 创建指标:

Then add some basic indicators, so that we can use these indicators for data analysis later. The analysis process is the same as the built-in template, so I won't go into details here.

Users can also 指标>新建choose different types of indicators. Currently, three types are supported, namely:

• Basic indicators: Usually used to quantify and count the performance of products or businesses, such as the overall cloud cost indicator we will create.
• Derived indicators: calculated around a single basic indicator, which can be combined with attributes such as dimensions, statistics, or management, such as cloud cost month-on-month indicators.
• Composite indicators: calculated around multiple basic indicators (such as addition, subtraction, multiplication and division), such as cloud cost ratio indicators.

In addition, users can also create multiple indicators at one time by writing code, you can refer to the following example:

# 详细指标如下：
#    【基础指标】Total Cloud Cost
#    【基础指标】Azure 云成本｜Azure Cloud Cost
#    【复合指标】Azure 云成本占比｜Azure Cloud Cost%
#    【基础指标】AWS 云成本｜AWS Cloud Cost
#    【复合指标】AWS 云成本占比｜AWS Cloud Cost%
#    【衍生指标】云成本月环比增长率｜Cloud Cost MoM%

metrics:
  #【基础指标】总体云成本｜Total Cloud Cost
  - name: Total_Cloud_Cost
    display_name: 总体云成本｜Total Cloud Cost
    description: 总体云成本（单位 RMB），包含 Azure 和 AWS 云平台的账单数据
    data_model: cloud_billing_sample
    type: BASIC
    expression: sum(COSTRMB)
    dimensions:
      - cloud_billing_sample.asofdate
      - cloud_billing_sample.ASOFYEAR
      - cloud_billing_sample.ASOFMONTH
      - cloud_billing_sample.COST_SUB_CATEGORY
      - cloud_billing_sample.COST_CATEGORY
      - cloud_billing_sample.CRR
      - cloud_billing_sample.PLATFORM
      - cloud_billing_sample.PROJECT
      - cloud_billing_sample.OWNER
    time_dimensions:
      - name: asofdate
        granularity: DAY
        display_option: ALL_DATA
    filters:
     - operator: AND
       conditions:
         - operator: IN
           member: PLATFORM
           values:
             - AWS Global
             - AWS CN
             - Azure CN
             - Azure Global

  #【基础指标】Azure 云成本｜Azure Cloud Cost
  - name: Azure_Cloud_Cost
    display_name: Azure 云成本｜Azure Cloud Cost
    description: Azure 云成本（Unit RMB）
    data_model: cloud_billing_sample
    type: BASIC
    expression: sum(COSTRMB)
    dimensions:
      - cloud_billing_sample.asofdate
      - cloud_billing_sample.ASOFYEAR
      - cloud_billing_sample.ASOFMONTH
      - cloud_billing_sample.COST_SUB_CATEGORY
      - cloud_billing_sample.COST_CATEGORY
      - cloud_billing_sample.CRR
      - cloud_billing_sample.PLATFORM
      - cloud_billing_sample.PROJECT
      - cloud_billing_sample.OWNER
    time_dimensions:
      - name: asofdate
        granularity: DAY
        display_option: ALL_DATA
    filters:
     - operator: AND
       conditions:
         - operator: IN
           member: PLATFORM
           values:
             - Azure CN
             - Azure Global

#【基础指标】AWS 云成本｜AWS Cloud Cost
  - name: AWS_Cloud_Cost
    display_name: AWS 云成本｜AWS Cloud Cost
    description: AWS 云成本（单位 RMB）
    data_model: cloud_billing_sample
    type: BASIC
    expression: sum(COSTRMB)
    dimensions:
      - cloud_billing_sample.asofdate
      - cloud_billing_sample.ASOFYEAR
      - cloud_billing_sample.ASOFMONTH
      - cloud_billing_sample.COST_SUB_CATEGORY
      - cloud_billing_sample.COST_CATEGORY
      - cloud_billing_sample.CRR
      - cloud_billing_sample.PLATFORM
      - cloud_billing_sample.PROJECT
      - cloud_billing_sample.OWNER
    time_dimensions:
      - name: asofdate
        granularity: DAY
        display_option: ALL_DATA
    filters:
     - operator: AND
       conditions:
         - operator: IN
           member: PLATFORM
           values:
             - AWS CN
             - AWS Global

  #【复合指标】Azure 云成本占比｜Azure Cloud Cost%
  - name: Azure_Cloud_Cost_PER
    display_name: Azure 云成本占比｜Azure Cloud Cost%
    description: Azure 云成本占比
    data_model: cloud_billing_sample
    type: COMPOSITE
    expression: "Azure_Cloud_Cost / Total_Cloud_Cost"
    time_dimensions:
      - name: asofdate
        granularity: DAY
        display_option: ALL_DATA
             
  #【复合指标】AWS 云成本占比｜AWS Cloud Cost%
  - name: AWS_Cloud_Cost_PER
    display_name: AWS 云成本占比｜AWS Cloud Cost%
    description: AWS 云成本占比
    data_model: cloud_billing_sample
    type: COMPOSITE
    expression: "AWS_Cloud_Cost / Total_Cloud_Cost"
    time_dimensions:
      - name: asofdate
        granularity: DAY
        display_option: ALL_DATA

  #【衍生指标】云成本月环比增长率｜Cloud Cost MoM%
  - name: Cloud_Cost_PER_MoM
    display_name: 云成本的月环比增长率｜Cloud Cost MoM%
    type: DERIVED
    expression: mom(Total_Cloud_Cost)
    description: 云成本月环比增长率，可观察云成本支出趋势

The above is the initial way to use Kyligence Zen.

Summarize

advantage:

• Ease of use: Kyligence Zen adopts interface and graphical development throughout the process, even for new users, it only takes a few minutes to get started easily
• Massive template support: Kyligence Zen provides content including indicator system, target system and analysis dashboard, and supports users to import with one click
• Cloud-based hosting service: Kyligence Zen is completely based on cloud hosting service, without the need to purchase or maintain a hardware environment, which greatly reduces the operating cost of the data warehouse.
• Big data processing capability: Based on Kyligence's core OLAP capability, Kyligence Zen can conduct in-depth data analysis through multiple dimensions and mine effective information.
• Openness: Kyligence Zen provides an open API interface, which can easily complete the docking with various management, collaboration, BI and visualization tools, so that enterprises can better deal with data changes.
• Elegant billing method: If there is no operation within 10 minutes, it will automatically shut down, and there will be no billing during the downtime, and the cost will be more transparent.

shortcoming:

• BI tool support: Kyligence Zen seems to only support the docking of Excel at present, and the support for other free BI tools is not enough.

Overall, Kyligence Zen provides efficient, accurate and reliable data analysis services for enterprise users. The product uses a series of innovative technical means to build a data intelligent search engine, enabling users to easily find the information they need in big data. Compared with some other data analysis tools, Kyligence Zen does not require users to have higher Skills and experience, and does not require the use of complex programming languages ​​or professional techniques such as SQL, so it is an excellent data analysis tool for both beginners in data analysis and professional data analysts.