The number one rule of successful enterprise data collection: don’t lose data. There are many difficulties in implementing the process and it can only be considered successful and efficient if it can be guaranteed that the entire data asset has been collected. To achieve this, it is necessary to choose a partner with the right expertise and comprehensive solutions.
Collecting data prudently
There are many reasons why enterprise data collection may be necessary, but it is important that it is carried out with a high degree of expertise, as the process and its implementation have specific difficulties.
The data collection mechanism developed by Precognox uses an advanced built-in controlling method that guarantees that the process is carried out according to the rule mentioned above.
This method is based on 3 main pillars, which are described below.
Logging
During the indexing process, the status of each document is logged (processed, stuck, etc.). These logs form the base of the indexing statistics, reports and alert processes.
Indexing statistics, status reports
Indexing statistics are based on the logged status and are provided through status reports, so that the data collection process is fully transparent and traceable.
Alerting
Errors detected during the indexing process can be reported to the user by alerts. These alarm notifications can be sent via push notifications, email or even Slack messages, but additional notification methods can be configured to meet the customer’s needs.
Logging, indexing statistics (status reports) and alerts create a system for the data collection process that ensures that the entire enterprise data collection process is completed successfully.
That’s why it’s essential that you only entrust your enterprise data collection to a company with the right expertise and solutions to ensure the success of the given project.
Collecting web data
Contents from the web can also form part of the enterprise data assets. Precognox’s solution for collecting this type of content is TAS Data Collector.
