📈 Data Compliance Training:
Sample Agendas
We offer customisable training sessions designed to meet your team's specific needs. Our sample agendas provide a glimpse into the structure and content of our courses, allowing you to envision how they can be tailored to address your team's goal.
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
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
Mix. Match. Customise.
You don’t have to choose just one. We can combine elements from across these topics to create a tailored programme that meets your team’s exact needs, development goals and working context.
Whether you're looking for a one-off session or a long-term leadership pathway, we’ll work with you to design something truly relevant, practical and impactful, built from the parts that matter most to your people.
📩 Enquire Here >
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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