Leveraging on digital tools and data and analytics allow organisations to transform and become data-driven by providing digital-empowered and data-enabled insights and governance, risk and control solutions.
We help you to develop the strategy of using data and analytics by optimising the use of data and information, establishing data governance and/or dataOps, implementing digital platforms and analytic solutions (including machine learning and artificial intelligence to adoption of AI governance to ensure ethical use of AI). We enable businesses to realise their objectives by safeguarding the digital assets, offering important data insights and providing the right information to the right people at the right time. We help our clients to build digital trust by designing and implementing IT and controls solutions over a complex and fast changing digital landscape and leverage digital investment for maximum benefits.
How we can help
- Data strategy governance and organisation
- Implementation of machine learning models, AI, and emerging digital technologies
- Architecture design and/or implementation for data enabled digital platforms
- Implementation of data analytics for industry / business process specific pain points and solutions
- Data governance, privacy compliance and due diligence
- Digital transformation and project / transformation assurance
Data strategy governance and organisation
PwC supports clients in setting out data strategy in a number of ways: to establish an entire analytics framework for processes, organisation and data governance; to assess the maturity of your analytics solution environment; to apply our practical experience of delivering transformational programmes for data and analytics.
Implementation of machine learning models, AI, and emerging digital technologies
With the application of customised machine learning and AI digital solution, PwC helps client achieve targeted business outcomes: leverage internal and external data strategically to help improve efficiency, reduce costs and enable business growth; identify opportunities to help predict risk and proactively address root causes; monetise data assets and explore new products and capabilities.
Architecture design and/or implementation for data enabled digital platforms
Modern technologies such as centralised data platform and cloud computing are critical for companies to scale and sustain data and analytics operations. PwC helps client across many areas: to establish centralised data platform consolidating organisation’s valuable data assets and enable agile data analytics to provide business insights; to provide digital asset management solution that can efficiently store, organise, manage, access and distribute an organisation’s digital assets.
Implementation of data analytics for industry / business process specific pain points and solutions
PwC helps clients identify trends, search for patterns and uncover previously unknown correlations in financial and operational data, thereby reducing the companies’ operational costs through end-to-end value chain optimisation and engine the sales growth through data enablement to reveal customer insights.
Together, we’ll explore advanced analytics technologies, test innovative ideas, and uncover ways to rethink the way you do business.
Data governance, privacy compliance and due diligence
PwC helps client design and formalise a holistic and integrated framework of data governance to ensure data quality and compliance with data privacy regulations (e.g. Personal Information Protection Law(“PIPL”), Personal Data (Privacy) Ordinance (“PDPO”), General Data Protection Regulation (“GDPR”), etc.), but also establish a fundamental protection mechanism that effectively and comprehensively reflect the actual data maturity and business status.
Digital transformation and project / transformation assurance
Leveraging our deep-dive industry understanding and digital technologies knowhow, PwC helps clients create new — or modify existing — business processes, culture, and customer experiences to form core competitiveness to adapt to the changing business and market requirements in the new digital era. Meanwhile, we could provide stakeholders with unbiased, forward-looking issue and risk alerts to help the project stay on track to deliver expected business benefits.
Client issues we address
Data silos. Lack of clear visibility on available data
Unconnected and scattered data sets across the organisation
Inconsistent definition or interpretation of data
Insufficient real-time data and analysis to facilitate timely decision making
Poor data quality or limited awareness of data privacy requirements
Inability to analyse non-traditional data sets like paper records, images and videos
Resource scarcity that constrains the pace of advanced analytics adoption
Limited proficiency in analytical tools
Limited understanding of risks and ethical considerations for AI and machine learning adoption
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