Decentralised data validation is a method where multiple independent parties or nodes check and confirm the accuracy of data, rather than relying on a single central authority. This process helps ensure that information is trustworthy and has not been tampered with. By distributing the responsibility for checking data, it becomes harder for any single party…
Category: Data Governance
Secure Data Integration
Secure Data Integration is the process of combining data from different sources while ensuring the privacy, integrity, and protection of that data. This involves using technologies and methods to prevent unauthorised access, data leaks, or corruption during transfer and storage. The goal is to make sure that data from different systems can work together safely…
Data Privacy Compliance
Data privacy compliance means following laws and rules that protect how personal information is collected, stored, used, and shared. Organisations must make sure that any data they handle is kept safe and only used for approved purposes. Failure to comply with these rules can lead to fines, legal trouble, or loss of customer trust.
Blockchain for Data Provenance
Blockchain for data provenance uses blockchain technology to record the history and origin of data. This allows every change, access, or movement of data to be tracked in a secure and tamper-resistant way. It helps organisations prove where their data came from, who handled it, and how it was used.
Data Governance Automation
Data governance automation refers to using technology and software tools to manage and enforce rules about how data is collected, stored, used and shared within an organisation. It helps ensure that data policies are followed automatically, reducing manual work and the risk of human error. By automating these processes, organisations can maintain better control over…
Data Quality Monitoring
Data quality monitoring is the process of regularly checking and evaluating data to ensure it is accurate, complete, and reliable. This involves using tools or methods to detect errors, missing values, or inconsistencies in data as it is collected and used. By monitoring data quality, organisations can catch problems early and maintain trust in their…
Customer Data Platforms
A Customer Data Platform, or CDP, is a software system that collects and organises customer data from various sources in one central place. It helps businesses create a unified view of each customer by combining information such as website visits, purchase history, emails, and social media interactions. This unified data can then be used to…
Secure Data Federation
Secure data federation is a way of combining information from different sources without moving or copying the data. It lets users access and analyse data from multiple places as if it were all in one location, while keeping each source protected. Security measures ensure that only authorised people can view or use the data, and…
Blockchain-Based Data Sharing
Blockchain-based data sharing is a method of exchanging information using blockchain technology. It allows multiple parties to access, store, and update data in a secure and transparent way. Each change or addition to the data is recorded on a digital ledger that cannot be easily altered or deleted. This approach helps ensure trust between participants…
Data Privacy Frameworks
Data privacy frameworks are organised sets of guidelines and rules designed to help organisations manage and protect personal data. They outline how data should be collected, stored, shared, and deleted to ensure individual privacy rights are respected. These frameworks often help businesses comply with local or international laws and reassure customers that their information is…