How Data Monitoring and Reporting Works

Organizations face a lot of challenges when it comes to monitoring and reporting the overwhelming amount of data that is required by the laws, codes, and regulations that govern many different fields that handle sensitive information. As a result, there are many different components to a secure data monitoring and reporting system that must meet the organizational needs as well as the laws that govern data monitoring and reporting.

Components of Data Monitoring and Reporting

  • System Performance: Data monitoring and reporting systems monitor key elements that relate to organizational performance and improve the financial aspects of the organization. In addition, the reporting system provides a foundation for implementing improved organization controls through performance measurement and analysis and other key elements that are associated with this process.
  • Data Reporting Systems: Organizations must deploy a comprehensive reporting system while simultaneously being able to convert data into a format that allows for improvement and analysis. Data reporting systems contain a module for developing reports from data tables that have been established through protocols in the main or executive reporting system. This provides organizations with a means of being able to delve deeper into the data model to determine performance improvements as well as optimization and security of data reporting.
  • Data Customization: A data monitoring and reporting system contains a secure way to customize the data selection from the transactional database. The purpose of the data compile feature is to provide a way to conduct high performance data analysis. The data compile feature also allows users to easily summarize financial data for reporting at regular intervals. Historical analysis is also essential for the management of future performance. Data compile allows for historical analysis to convert the transactional data into information that contributes to performance improvements.
  • Leveraging and Converting Transactional Data: The reporting system should provide a secure solution for leveraging and converting data into useful information for improving reporting and making organizational decisions that are accurate and on target with the goals of the organization. The transactional conversion data system provides a secure foundation which unifies the process of converting data into useful information.

Since organizations face a wide variety of challenges, it is necessary to deploy a technology platform that will support new technologies to meet the new and emerging demands of data monitoring and reporting security.

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In 2003, more than 10 million Americans fell victim to identity theft.

Identity theft costs business and individuals $53 billion dollars annually

In 2003, Americans spent 300 million hours resolving issues related to identity theft.

70% of all identity theft cases are perpetrated by a co-worker or employee of an affiliated business.