Table of contents
background introduction
In the initial stage of digital construction, many enterprises mainly use business intelligence (BI) reports to process data, aiming to liberate business personnel from tedious data processing work. However, with the rapid increase in the number of reports, the data has become scattered and lacks effective management for a long time, forming the so-called data islands. Due to problems such as inconsistent data caliber, lack of data trust, high operation and maintenance costs, and long data delivery cycles, enterprises began to seek a change from the report model to the indicator model.
Leading companies choose to establish indicator systems and build indicator platforms in the process of transformation, providing a model for other companies to refer to. Different from the traditional data analysis link, the indicator platform extracts the indicators originally scattered in BI reports, ETL wide tables and various business systems, and manages the business caliber and calculation logic in the indicator catalog in a unified manner.
Introduction of Kyligence Zen
Kyligence released the Kyligence Zen GA version of the one-stop indicator platform. It is built on the basis of Kyligence's core OLAP capabilities, and integrates the rich practices of leading companies in building indicator platforms. It has innovative capabilities such as ZenML indicator language, indicator catalog, Excel/WPS direct connection analysis, and template market. It will be simple, efficient, and intelligent. Product and Services to help enterprises solve pain points such as index management, analysis and application, and realize index-driven management and decision-making.
This is a good solution to the cumbersome difficulties and pain points faced by the current enterprises. Kyligence Zen does not require too much programming ability, nor does it require too complicated operations. It provides a large number of template cases and related operation guides, even zero Basic beginners can also get started quickly. In this article, I will take you to experience the platform in one stop, from registration to use, and finally to practice.
Getting Started Guide
At present, Kyligence Zen has a 14-day free registration and trial activity. No credit card, no installation, and no usage restrictions are required. You can experience a large number of industry indicator templates. It is basically a zero-based and zero-threshold experience to understand the industry's professional and accurate analysis solutions.
If any friends want to experience or try this product, follow my steps step by step to explore this wonderful magic platform.
After registration, click Login
Data overview
visualization chart
After entering the product usage page, we can see a large amount of built-in case data. The product also provides operation guidance, which is very warm. Even if you don’t know how to use it, you can learn about the product step by step through the operation guidance.
After we randomly click on the data of a case, we enter it, and can perform related data operations and related display through the provided function buttons.
For example, it provides common tables, visual legends, etc., which are very user-friendly
Attribution Analysis
Attribution analysis is a statistical method used to identify and evaluate factors that affect a particular outcome or event. Its main purpose is to parse and quantify the extent to which different variables contribute to an outcome to understand their relative importance in the formation of the outcome.
In marketing and advertising, attribution analysis is commonly used to determine the extent to which an advertising campaign, channel, marketing strategy, or other factor affects performance metrics such as sales, conversion rates, and user behavior. It can help companies understand the contribution of different factors to performance to make more informed decisions and optimize resource allocation.
Attribution analysis can use a variety of methods and models, such as the last click model, linear attribution model, time decay model, distribution ratio model, etc. These models assign weights to different factors to determine their relative impact on the outcome, depending on the specific situation and needs.
Overall, attribution analysis helps businesses understand and optimize their marketing and advertising strategies to achieve better performance and effectiveness by quantifying the contribution of different factors to a specific outcome.
code display
name: MOM of Net Profit
display_name: 净利润月同比｜MOM of Net Profit - Retail
type: DERIVED
expression: "mom(\"Net Profit\", 'month')"
format:
type: PERCENTAGE
unit: Auto
decimal_place: 2
use_thousand_separator: false
time_dimensions:
- name: order_date
granularity: DAY
display_option: LATEST
relevant explanation
- name: MOM of Net Profit: The name of the indicator, namely "MOM of Net Profit" (net profit month-on-month).
- display_name: Net profit month-on-year | MOM of Net Profit - Retail: The display name of the indicator, which may be a localized version used to display the indicator name in reports or visualization tools.
- type: DERIVED: The type of the indicator, indicating that it is a derived indicator calculated by other indicators.
- expression: "mom("Net Profit", 'month')": The calculation expression of the indicator, indicating that it is calculated by the mom function, which is used to calculate the monthly growth rate. Specifically, the indicator called "Net Profit" is used as an input in this expression, and the months are compared.
- format: The format setting of the indicator.
- type: PERCENTAGE: The format type of the indicator is percentage.
- unit: Auto: The percentage unit is set to auto.
- decimal_place: 2: Two places after the decimal point.
- use_thousand_separator: false: Do not use thousands separator.
time_dimensions: configuration related to time dimension. - name: order_date: The name of the time dimension is "order_date", which may indicate that the metric is analyzed by order date.
- granularity: DAY: The granularity of the time dimension is days.
- display_option: LATEST: The display option is set to the latest time value, which may indicate the latest date when the time dimension value is displayed in the report or visualizer.
custom data
In addition, you can also access your own enterprise data by uploading CSV files or connecting to Amazon S3. After the indicator module creates indicators based on tables or views, the system will automatically upgrade the tables or views to models.
new table
CSV files from various sources can be processed, such as imported from an Amazon S3 bucket or directly uploaded locally. The file needs to be encoded in UTF-8, and the fields can be separated by commas (,), vertical bars (|) or semicolons (;). If you are uploading your own CSV file, the file size cannot exceed 200 MB.
If you have questions about the format, we provide sample data for you to download and edit, such as the following case data:
new view
The creation view is divided into normal mode and advanced mode. The advanced mode can edit codes, and both modes support running preview.
Here I have prepared two files as examples
One of them is the student table, and the other is the student grade table, where their common field is the student's student number, and the operation starts below
- First, you need to create a new table and upload it to it
- Then connect via (public field)
then create the view
Indicator experience
Entering the application, you can see that it provides a wealth of indicators. You can get a preliminary understanding of the application display form through these few. There are default categories at the top, and you can also create new categories by yourself to find the indicators you need.
We can also create new indicators or import them (in .zenx format), and click the New Page button to enter the page for selecting the indicator type, select the corresponding type, and define the indicator, including columns, dates, dimensions, aggregation methods, etc. The permission and classification of indicators also have labels, and each indicator can also be shared with organizations and Feishu.
The newly created indicator types include: basic indicators, derivative indicators, and composite indicators. Let me introduce the meanings of these three indicators:
-
Base Metrics: These are raw metrics taken directly from the data source without any complex calculations or processing. For example, number of sales, number of visitors, etc.
-
Derived metrics: Derived metrics are calculated results based on one or more underlying metrics. For example, Sales (Unit Price x Quantity Sold), Conversion Rate (Conversions/Visits), etc. Derived indicators can help us understand and analyze underlying data more deeply.
-
Composite metrics: Composite metrics are the combination of two or more derived metrics, and they are often used to evaluate and measure complex business performance. For example, customer lifetime value (average purchase frequency of customers x average order value of customers x average lifetime of customers). Composite indicators can provide more comprehensive business insights and help us make more effective decisions.
Target
Goals represent the expected results that an organization or team needs to achieve within a specified time period. These goals can be quantified by using Kyligence Zen and introducing various indicators. Using Kyligence Zen, we can easily quantify goals, decompose goals, and invite team members to track progress together, so as to build a unified indicator management system within the organization and promote the realization of organizational goals.
When setting up goals, you can link metric data or enter data manually. In the view list, we can clearly see the progress and status, and can set specific rules to automatically update the status, avoiding the cumbersome and non-real-time problems of manually setting the status. In addition, it can be shared and notifications can be created on Feishu.
We can not only define the rules by ourselves, but also pay attention to this indicator, and quickly and clearly pay attention to the various information of the product
dash board
I personally like this dashboard feature very much! ! ! !
It is really good to use it as a large visual screen
First of all, after we have created the corresponding data and indicators in the previous step, we can add them to it in this step, and can freely drag and define the type of chart by ourselves.
Drag to the interface
to support custom charts
to configure chart information, such as color, type, size, display data, etc.
You can also add text
integrated
The application integrates other applications to support the integration of Feishu robots. In addition to using the built-in dashboard to analyze data, it can also analyze data through Excel, WPS, and API.
advantage
1. High performance: Kyligence Zen adopts an optimized OLAP query engine, which can predict the commonly used indicators and dimension combinations in advance and perform targeted pre-calculation. When querying indicators, the calculation results can be directly read to achieve extremely fast query response. , with low latency and high throughput performance.
2. Massive templates and custom indicators, including various industry scenarios, are ready to use out of the box, which is both practical and flexible.
personal suggestion
1. Can produce a more detailed official document or experience video
2. Produce some more detailed templates
Experience summary
Through the exploration of Kyligence Zen products, everyone can become a producer and consumer of data, which is used to support the management and operation needs of enterprises.
After using this product, I found that this product is very good, it is more suitable for partners with different codes, and it is also more suitable for data analysts like us. It is a very good tool, whether it is in data analysis or data availability. Both have great effects.
If you still don't know how to analyze the data, or how to make a good-looking visual report, you can experience it first, and feel the advantages and convenience of data technology!
Come and experience it with me!
every word
Every experience is a wonderful surprise!