tencent cloud

Business Intelligence

Product Introduction
Product Overview
Strengths
Product Features
Use Cases
Purchase Guide
Billing Instructions
Purchase Guide
Upgrade Instructions
Renewal Instructions
Quick Start
Data Access
Creating a VPC Data Source
Creating Cloud Data Sources
Creating Proprietary Data Sources
Data Table Creation and Data Processing
Introduction to Data Analysis Basics
Data Table Creation
Data Processing
Data Analysis
Analysis Settings
Interactive Analysis
Ad-Hoc Analysis
Data Visualization
Public Style Setting Instructions
Filter Components
Chart components
Rich Text Component
Other Components
Mobile Terminal Layout Editor
Theme Settings Introduction
Page Layout Introduction
Dashboard Directory Management
Collaboration and Application
Push Channel Management
Report Push
Sharing
Embedding
Self-Service Data Retrieval
Metric Alarms
Data Security
Parameter Construction
Platform Management
Account and Permission Management
Statistics and Analysis
System Settings
Resource Migration
Practical Tutorial
Collection of Optimization Practices
Performing Trend Analysis
Performing Proportion Analysis
Performing Data Analysis with Excel Files
Creating Tables
API Documentation
History
Introduction
API Category
Making API Requests
Project Management APIs
Role APIs
Database Table APIs
Report Embedding APIs
Page Management APIs
Data Types
Error Codes
FAQs
Relevant Agreements
Service Level Agreement
Privacy Policy
Data Privacy And Security Agreement
Contact Us

Quick Start

PDF
Focus Mode
Font Size
Last updated: 2025-09-19 15:14:22
Ad-hoc analysis allows for quick data exploration. This document provides beginners with an example to experience ad-hoc analysis.

Edition supported: Professional Edition.
Prerequisite: Suppose you have created an ad-hoc analysis page. If no such page is created, create one first.

Through this document, you will learn the following:
Quickly Identifying Data Differences Through Calculation
Managing Analysis Processes Through Multiple Sheets
Narrowing Down Analysis Objects Through Pre-processing
Performing a Typical Sample Analysis of Data Differences
Viewing Ad-Hoc Analysis Results

The example scenario in this document is described as follows:
Scenario: A sales director at a company noticed a significant decline in business data recently and needs to explore the reasons for the changes.
Data: Extract a detailed data table from the system containing fields such as date, dimension, and metrics for analysis.



Data Connection and Field Operations

After creating an analysis page, you need to connect data and set the analysis dimension and metric.
1. Connect to a data table: Select a data table.
descript


2. Drag and drop fields for analysis:
In this scenario, you need to assess to what dimensions and values the data transformation may relate and drag in dimensions as the row dimension and drag in values as metrics.
descript



Quickly Identifying Data Differences Through Calculation

Drag the time dimension field, set "sequential comparison" through Batch Compute, and view which dimensional period-over-previous period values have changed.

descript


For convenience, move specific dimensions from the row dimension to the column dimension.
Add the "Time" field to the row dimension and aggregate the "Time" dimension to "By month". This makes it easy to view data changes by month.
Batch calculations: Set the month-over-month comparison and highlight negative values in red. This makes it easy to identify abnormal data.
In the figure, we found differences in metrics across different months and dimensions.

descript



Managing Analysis Processes Through Multiple Sheets

We want to reserve the original analysis model and add an analysis process.
Easily switch between analysis processes through multiple sheets.
Add a sheet as a special analysis.
descript


Connect to the data table, drag and drop the "Time", "Dimension", and "Value" fields to the following locations, then set batch computing.
descript


To switch back to the previous process, switch the sheets.

descript



Narrowing Down Analysis Objects Through Pre-processing

Through the above procedure, we analyzed some dimensions and filtered the analysis object by pre-processing.
Click Preprocess to enable the pre-processing filter settings.
Drag and drop dimension fields into the pre-processing filter for condition settings.

descript


Drag and drop the "time" field into the pre-processing filter to set the time condition (when the difference occurred).
After the settings, click "X" to return to the analysis interface.

Performing a Typical Sample Analysis of Data Differences

Through the above procedure, we analyze the detail:
By observing, we found variations in the data details.
descript


You can also drag a field into "filter". This way, you can quickly switch sample conditions in the analysis area.
descript



Viewing Ad-Hoc Analysis Results

Congratulations on identifying the factors that influence the changes in output value through your continuous exploration!
At this point, you identify an influencing factor in the data. So you need to use the analysis result to convince the team decision-maker and adjust the management policy.
You can release the current analysis page and then share it with the decision-maker.
Release the page: As shown in the figure below, click Publish to perform ad-hoc analysis.
descript


View the page: Go to the ad-hoc analysis list page, then click View in the "operation" column to view the analysis result.
descript


Share the page: When viewing the page, you can click the share icon to configure share settings.
descript


descript

After the settings, you will obtain the corresponding access link. Send this link to the decision-maker. Then, the decision-maker can access your analysis page.


Help and Support

Was this page helpful?

Help us improve! Rate your documentation experience in 5 mins.

Feedback