Intelligent Data analysis

YIDA intelligent data analysis, integrating multi-source data with one click, providing visual charts, intelligent early warning, self-help analysis and other functions to help enterprises efficiently gain insight into business trends and drive decision optimization. This topic describes YIDA intelligent data analysis.

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Capability details

YIDA intelligent data analysis can integrate multi-source data with one click, providing visual charts, intelligent early warning, self-help analysis and other functions to help enterprises efficiently gain insight into business trends while driving decision optimization. YIDA AI predicts and recommend analysis suggestions based on its understanding of the fields in the form industry, which can help enterprises to recommend analysis suggestions.

Key parameters

Parameter	Function	Field necessity
Dataset name	Specifies the name of the dataset.	The first analysis is required and automatic recognition is supported.
Aggregation type	Indicates the type of analysis: Sum, proportion, trend, details, etc.	A single analysis is required.
Aggregation method	Specify specific analysis methods for some skills.	Some skills are available: Count/deduplication Maximum/minimum
Measure field	Which metric is used for analysis, usually a field name of a form or dataset.	A single analysis is required.
Dimension field	It is used in multi-value calculation scenarios to calculate the values of certain fields according to specific dimensions.	Some skills are available, such as accordingPersonnelCalculationSales AmountThe sum of, the result is the sum of the amount of different personnel, not the sum of the amount.
Grouping fields	Display data by different groups based on a single dimension field.	Some skills are available, such as pie charts and trend charts.
Sort field	Used to sort scenarios by specific dataset fields.	Sorting skills are required.
Sorting method	For sorting scenarios, you can select positive or reverse order.	The sorting skill is available. The default sequence is positive.
Filter	Supports multiple filtering conditions: Time filtering (time range) Quantity filtering (several) Filter by field content	A single analysis is available.

Skill List

Supported analytical skills	The question of recommend is as follows:	Schematic effect
Summation Calculate the sum of a numeric field within a certain time range.	Query the total/Total/quantity/Total/sum/total of inventory in inventory statement. Query the total order revenue today in the order form. What is the total revenue of all orders completed today.
Count (deduplication) The number of statistical data records. You can reset the field content.	There are several people who have completed the task. There are several candidates to follow up. New clues that flow into this week.
Maximum/minimum Obtain the maximum and minimum values of the corresponding field	Required ResourcesNumber OneWhich project is it? Project completion rateHighestWho is the member. Signed the contract todayMaximum amountWhat is it.
Average Calculate the average value of the corresponding field	AverageEach HR follows up with several candidates. Time-consuming for each orderWhat is the mean value. All sales contractsAverage level.
Proportion Calculate the proportion of different dimensions in a field	Progress is unfinished projectProportionWhat is it. The current market of branch AShareThe proportion. The candidates in the current table are in each working period.Ratio/ratio.
Ranking Sort data based on specific fields	Query the order amountWhich are the lowest/least/worst/Last/. Department with sales contracts this weekRankingHow. Learning progress in the company this monthSort. The person who ranks Top3/top three in the sales amount.
Details Obtain detailed data of some data	Query the detailed data of the order table. View the details of 5 orders whose payment status is paid. Returns five detailed data of this month's order status, including fields such as name, sales amount, and serial number, sorted in reverse order by sales amount.
Filter Extract some information of fields based on conditions	Who submitted the data? Which regions have submitted data? What are the sales staff with turnover> 1000?
Trend Analyze the trend changes of field values	Analyze the turnover trend today and yesterday. The source of work orders in the past 14 days is the growth trend of the total number of work orders in the market compared with last month. Analyze the growth rate trend of weight this year compared with last year.