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DS11.1 - Business Requirements for Data Management

This topic is intended to enable collaboration and sharing of information to facilitate a better understanding and approach to implementing this COBIT control objective based on the risk, value and guidance provided by its corresponding control practices.

COBIT Control Objective DS11.1 - Business Requirements for Data Management is contained within Process Popup Manage Data.

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Business Requirements for Data Management

Verify that all data expected for processing are received and processed completely, accurately and in a timely manner, and all output is delivered in accordance with business requirements. Support restart and reprocessing needs.

View value and Risk Drivers  help

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Value Drivers

  • Data management in support of business requirements
  • Guidance for data handling
  • Data transactions authorised
  • Safeguarded storage of sources
  Risk Drivers
  • Data management failing to support business requirements
  • Security breaches
  • Business, legal and regulatory requirements not met

View Control Practices  help

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  1. Define the business requirements for the management of data by IT.
  2. Define and implement a policy that addresses segregation of duties within operations for the entry, processing and authorisation of data transactions, including overrides and corrections. Address the responsibilities for segregation of duties within both the business and operations.
  3. Ensure that data completeness and restart and reprocessing requirements are included in batch job schedules and procedures.
  4. Define and implement a process that ensures that data inputs are prepared with embedded checks for completeness, validity, accuracy, security, authorisation and integrity.
  5. Define and implement a process that ensures that all operational errors requiring transaction reprocessing are brought to the attention of the originating business function and resubmitted in a timely fashion. All erroneous transactions should go through the same checks for segregation of duties, completeness, validity, etc., as for first-time data processing.
  6. As appropriate and in accordance with defined security policies, communicate to management security breaches during any operational phase of data receipt, processing and transmission.
  7. Define and implement a process that verifies and logs the distribution of the output to appropriate departments, with special handling of confidential information.
  8. Define and implement a process that properly safeguards and stores source data and prevents their unauthorised modification.
  9. Institute policies and procedures for retention of data received from the business and their subsequent destruction according to the data’s sensitivity.

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Journal Articles: 140 total

Volume 1, 2018
by Mike Van Stone, CISA, CISSP, CPA, and Ben Halpert
Ever-changing laws continue to increase the risk and cost of noncompliance when unintentional data losses occur.
Volume 1, 2018
by Sunil Bakshi, CISA, CRISC, CISM, CGEIT, ABCI, AMIIB, BS 25999 LI, CEH, CISSP, ISO 27001 LA, MCA, PMP
GDPR (Regulation [EU] 2016/679) is a regulation by which the European Parliament, the Council of the European Union and the European Commission intend to strengthen and unify data protection for all individuals within the European Union.
Volume 1, 2018
by Mohammed J. Khan, CISA, CRISC, CIPM
To facilitate and administer the implementation of controls around the subject of big data, one must truly understand the concepts of deidentification, reidentification and anonymization.
Volume 1, 2018
by Adeniyi Akanni, Ph. D., CISA, CRISC, ITIL
This article describes a six-stage cycle of implementing big data in commercial banks, points out the major challenges in implementation and provides a suggested solution.
Volume 1, 2018
by Andrew Clark
With advances in computing power, the abundance of data storage and recent advances in algorithm design, machine learning is increasingly being utilized by corporations to...
Volume 1, 2018
by Ed Moyle
There are, literally, hundreds (if not thousands) of tools that can be purchased, adapted or applied to forwarding data protection.

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Blog Posts: 37 total

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