Data system monitoring method and system
A data system and data technology, applied in database indexing, market data collection, data processing applications, etc., can solve problems affecting statistical data and statistical cycle, incomplete data, difficult maintenance of data systems, etc., and achieve the effect of improving fineness
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Embodiment 1
[0041] Count the users who have not sent text messages, use traffic and calls within three months, and send text messages to remind the account manager. Subject type: business indicator; subject table field: mobile user; action category: text message, traffic usage, or call; screening time: within three months; audit algorithm: mobile user whose sum of text message volume, traffic usage, and call volume equals zero ;Query time: 09:00:00, query period: the 5th of each month; Recipient of warning information: customer manager; Way of warning information: SMS.
[0042] That is, on the 5th of each month, obtain the SMS volume, traffic volume and call volume of mobile users within three months, conduct an audit on the SMS volume, traffic volume, and call volume, and obtain the audit results: mobile users, send the audit results to the account manager in the form of SMS .
Embodiment 2
[0044] Count the number of centralized broadband dismantling machines. Subject type: business index; subject table field, the number of centralized broadband dismantling machines; screening time: the previous day; audit algorithm: the number of broadband centralized dismantling machines is greater than 80; query time: 09:00:00; query cycle: every day; warning information Recipient: dismantling staff and person in charge of broadband; warning information method: SMS.
Embodiment 3
[0046] Monitor and assess the integrity of data maintenance. Subject type: stored procedure; subject table field, data maintenance; action type: execute; screening time: last month; auditing algorithm: the execution number of data maintenance is less than 80% of the average number of data maintenance executions in the past six months; query time: 09:00:00; query period: the 20th of each month; recipient of warning information: data maintenance personnel; method of warning information: email.
[0047]That is, when the number of data maintenance performed in the last month is less than 80% of the average number of data maintenance in the past six months, a warning email is sent to the data maintenance personnel. In the specific implementation, two query fields are constructed to obtain the execution number of data maintenance in the last month and the execution number of data maintenance in the past six months respectively, and audit the two query results.
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