Data and digital advisory

A tailored and holistic approach for our clients.
  • Multi-dimensional conversations: Clients benefit from diverse perspectives in a single engagement 
  • Comprehensive insights: We connect dots across disciplines for deeper understanding 
  • Innovative solutions: Holistic approach leads to better outcomes and added value 

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Our suite of data and digital advisory services

Our service offerings are broken down into 4 key pillars and a comprehensive list is provided below. 

We understand the need to approach some of these services with flexibility and pragmatism. Our services can be delivered individually or combined, specifically designed to meet the needs of our clients.  

Data privacy advisory

  • Data privacy program and framework 
  • Maturity and compliance assessments 
  • Data protection officer services (formal and informal)  
  • Data subject rights managed services 
  • Data protection impact assessments 
  • Data breach support services 
  • E-privacy compliance (direct marketing and cookie technologies) 
  • Data privacy automation and tooling 
  • Training and awareness 
  • Regulatory audits (DSA & DMA) 

Data optimisation

  • Data strategy, governance and ethics  
  • Data migration and cloud advisory 
  • Master and meta data management  
  • Data mapping and cataloguing 
  • Data quality framework 
  • Data visualisation & BI–Systems integration  
  • Advanced data modelling  
  • Database management  
  • Machine learning 
  • Business analysis and process automation  

Digital advisory

  • Technology and application strategy  
  • IT operating model 
  • Digital transformation support 
  • Software development lifecycle  
  • IT effectiveness assessments 
  • Technology selection support 
  • Technology resilience and due diligence 
  • Software & asset assessments 
  • Emerging technology use cases  

 

AI advisory

  • AI strategy and readiness 
  • AI solutions (development and deployment)  
  • AI governance 
  • AI ethics  
  • AI regulatory compliance (e.g. EU AI Act)  

Common challenges

Data privacy

  • Concerns about ensuring data privacy and protection and meeting regulatory demands, leading to fears of non-compliance and fines. 
  • Struggling with managing Data Protection Officer responsibilities, due to lack of time, expertise, or support for the role. 
  • Concerns about insufficient training and awareness on data protection within the organisation, increasing risk of vulnerabilities.
  • Struggling to manage a growing volume of Data Subject Access Requests (DSARs). 

Data optimisation

  • Poor data quality, such as incomplete or inconsistent data can lead to inaccurate insights making it hard to trust analytics and drive data driven business decisions. 
  • Without clear policies and processes for data management, organisations struggle with maintaining data integrity, security, and compliance.
  • As data volumes grow, optimising data infrastructure to handle large-scale processing without performance degradation becomes a challenge.
  • Difficulty managing and analysing complex data structures, resulting in underutilised insights and missed opportunities for innovation.

Digital advisory

  • Lacking a holistic, forward-looking technology and / or application strategy to support your growth journey.​
  • Uncertainty about whether your significant investment in technology and applications is effective. 
  • Need for independent assurance of the reliability of technology supporting core business operations when buying, selling or investing.
  • Concerns about whether technology infrastructure can handle disruptions, cyber threats, or future growth.

AI advisory​

  • Struggling to understand how to effectively integrate AI into your business operations and its potential benefits. 
  • Struggling to balance innovation and ethical responsibility, particularly in AI usage. 
  • Struggling to keep up with regulatory demands, such as the EU AI Act. 
  • Struggling to stay ahead of emerging AI technologies and their potential applications, leading to missed opportunities for innovation.

 

Why data and digital advisory is important

In today's environment, the significance of data and digital infrastructure is paramount. Effectively leveraging data and investing in robust digital systems are essential for achieving success.

Data enables organisations to make informed decisions, enhance user experiences, and optimise operations. Meanwhile, a strong digital infrastructure ensures system reliability and scalability, supports advanced technologies and facilitates seamless communication. Together, these components offer substantial advantages, including improved decision-making, operational efficiency, and a competitive edge. 

However, it is crucial to remain vigilant about associated risks, relating to data privacy and governance issues, cybersecurity threats, and potential system vulnerabilities. Mastering the use of these assets while managing their risks is vital for thriving in the modern business and servicing landscape. 

  • $3.4 trillion​

    Global spending on digital transformation is expected to reach $3.4 trillion by 2026. ​(Spending on digital transformation technologies and services worldwide from 2017 to 2027, Statista, 2023)
  • 68%

    68% of large companies, 33% of medium-sized companies, and 15% of small companies have integrated at least one AI technology. (UK Artificial Intelligence (AI) Statistics and Trends In 2024, Forbes) 
  • 23x more likely​

    Data-driven organisations are 23 times more likely to acquire customers and 19 times more likely to be profitable.​(Five facts: How customer analytics boosts corporate performance, McKinsey & Company, 2024)

Get in touch

If you would like to speak with a member of the Digital consulting team, please get in touch below.

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