Data Compliance
How Can Public Sector Organisations Ensure Data Compliance Standards? Whether it’s using data to create advantage or improving data access and governance to accelerate data sharing, data management policies are complex. And we’re here to help with free blogs, downloads and a range of courses available online, face-to-face or bespoke for your organisation.
Upcoming Courses:
Data Compliance
Understanding Records of Processing Activities (ROPA) and Data Mapping
Enhance Privacy: Improve the Processing of Personal Data
Data Compliance
Understanding and Applying
FOI Exemptions
Managing the Pressures of
FOI Requests
Analytics
Masterclass: Understanding Big Data Analytics
Unlocking the Value of Big
Data Analytics
Data Compliance
Effective Data Sharing
Ensuring Compliance when
Sharing Data
Data Compliance
Understanding International Data Transfer
Transfer Data With Confidence
Data Compliance
Complying with Data Subject
Access Requests
Managing Requests for
Personal Data
Data Compliance
Understanding and Applying SARs Exemptions
Managing the Pressures of SARs Requests
Data Compliance
Understanding Data
Protection & GDPR
Ensure Compliance and
Minimise Risk
Data Compliance
Masterclass: Identifying and Managing Data Breaches
Act and Prevent
Data Compliance
Excelling in the Role of the Data Protection Officer
Understanding and Managing Responsibilities as a DPO
Data Compliance
Creating Data Protection Impact Assessments
Embedding Privacy by Design
Data Compliance
Effective Records and Information Management
Ensuring Compliance when
Creating, Retaining and
Disposing of Records
What is Personal Data?
Personal data is any information that an individual can be identified from.
What is the Data Protection Act (DPA) 2018?
The Data Protection Act 2018 is a UK law that sets out how personal data must be collected, handled and stored to protect people’s privacy. It also gives individuals the right to know what personal data is held about them and to have that data erased in certain circumstances.
What is GDPR?
The GDPR is Europe’s new framework for data protection laws. It replaces the previous 1995 data protection directive.
What is A Data Protection Impact Assessment (DPIA)?
A DPIA is a process to help you identify and minimise the data protection risks of a project. It is used for processing high risk information.
What is a Data Protection Officer (DPO)?
A DPO is an independent expert in data protection. They have a duty to monitor internal compliance, inform and advise on data protection obligations, provide advice regarding Data Protection Impact Assessments (DPIAs) and act as a contact point for data subjects and the Information Commissioner’s Office (ICO).
Does The GDPR apply to UK organisations after Brexit?
The UK GDPR is very similar to the EU GDPR, so organisations that comply with the latter are likely to be in compliance with the former.
What is Law Enforcement Processing?
It’s the data protection regime that applies to those authorities that process personal data for law enforcement purposes.
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Data Compliance Blogs
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The Data Quality Framework – Understanding the Six Data Quality Dimensions
“The new oil” of the 21st century. That’s how The Economist defines data.
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Data Subject Access Requests: Guide for Organisations and Individuals
As our lives become more and more intertwined with the online world, it means our data does too…
Here’s five data and analytics trends we expect to see more of in public sector analytics:
Internet of Things (IoT)
IoT allows organisations to connect and integrate data from various devices, and automatically apply analytics to them, reducing time to action, and improving understanding of what interventions will help service users.
With significant use of personal devices such as smartwatches that collect medical data, analysts can assess patients’ risk of health decline in real time.
2. Predictive Analytics
Organisations can embed predictive algorithms to forecast demand and provide an evidence base to understand where and when to best deploy resources to optimise outcomes and maximise return on investment.
3. Augmented analytics
Augmented analytics can generate the insights needed for evidence-based decision-making at all levels across organisations. Powered by Machine Learning (ML) and Artificial Intelligence (AI), augmented analytics can provide real-time, easily consumable data and contextual suggestions for relevant insights.
4. Synthetic data
Synthetic data is artificially generated by computer programmes and algorithms instead of real-world events. This has the significant benefit of eradicating any personally identifiable data, meaning organisations will use it to undertake advanced analysis and enhanced simulation modelling on datasets without having to overcome data protection and information governance constraints.
5. Conversational AI and Natural Language Processing
Natural Language Processing (NLP) and Conversational AI enable organisations to easily analyse any unstructured text data for trends and insights that are hard to notice with the human eye.
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