Any organization in the modern era has IT infrastructure as well as use of devices such as laptops, desktops and mobile devices that are used for business purposes and transactions. It is important therefore that the data is protected with the right measures and tools.Employees also have responsibility to protect the data and report breaches in a timely manner.Assurance that information (data) is uncorrupted and pure. And that it can be accessed or modified by authorized personnel.
Duration: 30 minutes
Target Audience: All employees, managers of an organization.
Course Prerequisites: None
Business Outcomes: To help employee with knowledge and understanding of data integrity and protection.
The below words only indicate, the relevance to go through the Data Integrity course, when discussions on the accuracy, completeness, consistency, conciseness and validity of an organizations and employee’s data, comes into the picture. These are not an exhaustive set of terms but are relevant for sure.
Data Consistency, Access, Control, Data Quality, Validate, Input, Data Back-up, Rules, Centralised, Data Cleansing, Data Governance, Data Profiling, Primary Key, Reliability, Unique, Protect, Retrieval, Data Storage, Data Risk.
After covering our existing course, if you need more details on a specific key word mentioned above or something unique to your organization, let us know and we will make those updates as needed, subject to discussion.
Any organization in the modern era has IT infrastructure as well as use of devices such as laptops, desktops and mobile devices that are used for business purposes and transactions. It is important therefore that the data is protected with the right measures and tools.
Employees also have responsibility to protect the data and report breaches in a timely manner.
This eLearning course will help you know about anti-bribery and corruption and take effective measures to combat and report them.
Define data integrity and describe its significance in organizational data management.
List the types of data integrity.
Assess data integrity in various situations in the organization.
Describe the industry best practices and standards.