Making data easily accessible to end-users can help build trust, says Wessam Abu Regeila, Associate Director Enterprise Solution – Data Architecture at CIB Egypt. Consider creating a user-friendly dashboard or interface where users can access and interact with the data
Datatechvibe spoke to Wessam Abu Regeila, Associate Director Enterprise Solution – Data Architecture at CIB Egypt, for an overview of the key considerations when investing in building solutions for the technology stack and how they can help select the right one for your organisation.
Excerpts from the interview;
How do we gain end-user trust in data?
Gaining end-user trust in data is essential in today’s world, where data is becoming more valuable and influential in decision-making processes. Here are some ways to gain end-user trust in data:
- Ensure accuracy and transparency
Accuracy and transparency are the two most critical factors that can influence end-user trust in data. Ensure that your data is accurate and that users understand how the data is collected, analysed, and interpreted. Be open and honest about any limitations or biases in the data.
- Use secure data storage and management practices
Ensuring the security of user data is crucial in building trust. Implement security protocols such as encryption, access control, and backups to prevent data breaches.
- Have a clear data privacy policy
Having a clear data privacy policy can help users understand how their data is being used and protected. Ensure your data privacy policy is easy to understand and accessible to users.
- Provide easy access to data
Making data easily accessible to end-users is another way to build trust. Consider creating a user-friendly dashboard or interface where users can access and interact with the data.
- Engage with users
Engage with users regularly to understand their needs, concerns, and feedback. This can help you improve your data practices and build trust with users.
By following these practices, you can build trust with end users and ensure that your data is used responsibly and ethically.
Metadata, data catalogue and data dictionary – how are these the best deliverable?
Metadata, data catalogues, and data dictionaries are essential tools for managing data effectively. Here are some thoughts on how these can be delivered:
- Metadata
Metadata is data that provides information about other data. It describes the characteristics of the data, such as its format, structure, and content. The best way to deliver metadata is through a metadata repository, which is a centralised location for storing metadata. This can be in the form of a database or a file-based system. The metadata repository should be easily accessible and searchable, so users can quickly find the information they need.
- Data Catalogue
A data catalogue is a tool that helps users discover, understand, and access data assets within an organisation. It typically contains information such as the location of data, the data owner, the data type, and the data quality. Data catalogues can be delivered through a web-based portal, allowing users to search for data assets and discover their relationships to other data assets.
- Data Dictionary
A data dictionary is a comprehensive list of data elements, definitions, relationships, and attributes. It provides a common language for understanding and communicating data across an organisation. Data dictionaries can be delivered in various formats, including spreadsheets or databases. The best way to deliver a data dictionary is through a web-based interface, allowing users to search for easily and access data element definitions and attributes.
In summary, delivering metadata, data catalogues, and data dictionaries through a centralised and easily accessible platform such as a web-based interface can help users quickly find and understand the information they need to work with data effectively.
What are the key considerations when investing/ building solutions for your technology stack?
Investing in or building solutions for your technology stack is an essential aspect of any business’s digital transformation journey. Here are some key considerations to keep in mind:
- Business Needs
The first consideration should always be the business needs. Identify the business requirements and objectives you want your technology stack to achieve. The technology stack should align with the company’s business strategy, goals, and objectives. - Scalability
Consider the scalability of the technology stack. Ensure the technology stack can scale up or down per the organisation’s requirements. Choose a technology stack that is flexible and adaptable to the changing business needs. - Interoperability
Ensure the technology stack can integrate with other systems or applications within the organisation. This will help to streamline workflows, reduce data silos, and enable data sharing across the organisation. - Security
Data security is crucial in any technology stack. Ensure that the technology stack has appropriate security measures in place to protect sensitive data from unauthorised access, data breaches, and cyber threats. - Cost
The cost of the technology stack is also an essential consideration. Determine the total cost of ownership (TCO) for the technology stack and evaluate the return on investment (ROI). Choose a technology stack that provides the best value for money. - User Experience
Consider the user experience when selecting a technology stack. Choose a stack that is easy to use, intuitive, and user-friendly. The technology stack should help to streamline workflows, increase productivity, and improve user satisfaction.
Considering these key factors, you can select a technology stack that aligns with your business needs, is scalable, interoperable, secure, cost-effective, and provides an excellent user experience.
Wessam Abu Regeila, Associate Director Enterprise Solution – Data Architecture at CIB Egypt, is going to talk about how the future of data stacks navigating the cutting-edge landscape.
For more information and registration, visit Velocity UAE.
