Our Consultancy Case Studies
The importance of quality assurance should not be overlooked in the ongoing battle for time and financial resources. The key is to realise the benefits of continuous integration and accept that quality and speed are not mutually exclusive.
The rules governing the new EU General Data Protection Regulation (GDPR) are not restricted to live production environments. Brickendon looks at the challenges associated with ensuring compliance in all parts of a bank’s operations.
With the deadline for the new EU General Data Protection Regulation (GDPR) fast approaching, Brickendon looks at how organisations can devise a process to ensure future compliance and adequate breach notification.
The General Data Protection Regulation (GDPR) comes into effect on 25th May 2018. Brickendon looks at what steps organisations holding personal data for their EU customers and employees need to do to ensure compliance.
With the deadline for the new EU General Data Protection Regulation (GDPR) fast approaching, many organisations are struggling to define their requirements and assess the operational impact the changes will have on their data governance programmes. Brickendon looks at how banks should be aligning their GDPR programmes with their overall data-management capabilities gives advice on how to identify overlaps and gaps.
Many financial institutions are struggling with the regulatory requirements of BCB S239. Brickendon’s extensive experience in regulatory change projects helped us develop a mechanism to support this particular bank’s attestation to the regulator and provide a robust interpretation of the regulation itself to drive minimum standards of compliance.
A large global bank was struggling to manage the expectations and requirements of stakeholders involved in a largescale programme. Brickendon was called upon to ensure that everyone involved was confident that the organisation’s money was being spent wisely, that the...
A large global banking client was seeking to transform the way that data was used within its Investment Bank. The aim was to manage the data more efficiently, consistently and transparently in order to reduce storage and infrastructure costs. One of the main challenges was lack of data standardisation – inconsistent naming convention across the bank