PwC Singapore at COP29
PwC Singapore will join the Singapore Pavilion at COP29 to catalyse the shift from visionary ideals to concrete actions, realising our shared climate vision together.
Latest insights - 4 items
Accelerating Active Data Governance with PwC and Alation (11 July 2024)
Data-driven decision making allows organisations to devise more effective strategies and operations and gain a competitive advantage.
To enable data-driven decisions, strong data governance systems and practices need to be in place. PwC Singapore has joined hands with Alation to host this hands-on workshop, bringing together PwC Singapore's extensive experience in implementing Alation across diverse industries and Alation's powerful platform for data cataloguing, governance, and curation, designed to equip you with the tools and knowledge to maximise the value of your data assets.
Data management and governance has evolved significantly over the past few years. Initially, it primarily revolved around defensive data strategies aimed at ensuring regulatory compliance and mitigating risks. However, enterprises in less heavily regulated industries (like retail) with an offense oriented data strategy have also come to recognise the broader importance of governance in driving business value.
However, data management cannot have a one-size-fits-all approach. It is crucial to work closely with diverse stakeholders to understand their unique business needs, industry dynamics, and risk tolerance levels. Effective data management boils down to tailoring data governance strategies that strike the right balance between control and agility and facilitating innovation while safeguarding data assets.
How our data management and governance services can help you
Our services encompass a range of capabilities designed to help organisations navigate the complexities of data management and governance. We assist enterprises in developing robust data governance frameworks, modern architectures as well as data sharing principles that align with regulatory requirements while also facilitating endeavours of data leaders to enable data-driven decision-making. By strategising and implementing effective data management practices, we help businesses build trust in data by integrating data quality, integrity, and security throughout its lifecycle.
- Data sharing
- Data mesh, data fabric
- Data management
- Data governance
- Data architecture
- Data and application modernisation
Data sharing
Data sharing is a stepping stone towards achieving data monetisation, which can deliver a direct business benefit by impacting your top line. However, organisations typically face a variety of barriers when there is an intent to share or acquire data externally as well as internally:
- Lack of clarity on the regulations, data sharing agreements and the data itself
- Uncertainty and risk management considerations when sharing sensitive data
- Time and cost of data sharing, especially when it comes to legal agreements and privacy preservation
- Increased regulations making data sharing more complex and challenging
- Lack of trust in data, by data producers and/ or consumers
We help you first define your data sharing goals aligned with the overall data strategy and then help you along your data sharing journey:
- Plan - Define the opportunity and assess feasibility
- • Establish principles
- • Identify and classify types of data
- • Assess considerations for sensitive data
- • Establish principles
- Design the model and put contracts in place
- • Define the data sharing model
- • Identify legal and regulatory framework
- • Define the data sharing model
- Implement - Put it all into action
- Assess readiness and implement
- Monitor data sharing
- Build for the future
- Assess readiness and implement
The depth and level of detail required at each stage depends on the maturity of each party involved, as well as the nature of the data sharing engagement and type of data being shared.
PwC Singapore has proudly supported The Association of Banks in Singapore in launching the Data Sharing Handbook:
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