

Set up robust data infrastructure and management policies [4.2.4.1]
This involves strengthening our existing tech stack and automating integration processes. Then, we’ll grant access to relevant parts of the Cuttlefish data warehouse with the network’s analytics function to allow analysis from a larger pool of data.


Establish data quality processes and procedures [4.2.4.2]
This involves maintaining data standards, implementing regular checks, reviewing the data glossary and dictionary and ensuring the team follows set procedures in its campaigns, including monitoring and evaluation.


Develop and deliver tailored analytics products to teams and campaigns through the Insights Strategy [4.2.4.3]
This includes building capacities in analytics and data visualisations, creating campaign dashboards, implementing KPI metrics, increasing automation of reports, social listening reports and dynamically created dashboards and supporting the development of the rapid-response campaigning function (see 4.1.4.3). This also involves delivering regular trainings to use those tools effectively, which will be delivered based on needs.


Implement data security and privacy measures[4.2.4.4]
Maintain the Cuttlefish data security infrastructure, ensure GDPR compliance, and provide training on data security policies and privacy best practices. This includes a Customer Data Platform which helps protect the privacy of data subjects, increase data accessibility and reduce organisational risk from the mishandling of data.


Participate in the network’s data community [4.2.4.5]
Contribute to the network’s development of using data for audience insights. This could include networking with colleagues using data, brainstorming integrated tools, building a common understanding around this practice, working with desks and themes and piloting new approaches in Cuttlefish’s campaigns. This leads to 4.2.5.1.