Data value acceleration

Our framework on Google Cloud helps improve data processes to speed the time between data collection, insight generation, and measurable business impact.

Businesses can unlock substantial annual value through connecting data across organizations, fostering business transformation and innovation. Achieving this potential hinges on effectively leveraging data assets to align with strategic priorities and drive operational efficiencies and new revenue streams within enterprises.

However, unlocking this value, let alone increasing it, can prove difficult for many enterprises. What’s holding organizations back? Challenges related to data fragmentation, poor data quality, insufficient governance, and limited accessibility create an unstable foundation for implementing a data monetization strategy. Further, existing technology and processes that are manifested in legacy systems, cultural resistance to change, budget constraints, and the complexities of moving to the cloud can provide further challenges. Lastly, value realization becomes elusive due to inadequately scoped use cases and challenges with implementation and scalability.

Our data value acceleration framework, enabled by Google Cloud, implements a modern data solution to transform data into a competitive advantage. The five pillars of the framework—data modernization for digital transformation, data management for trust, security detailed AI to empower business users, AI and machine learning for operational efficiency, and data monetization to activate new revenue streams—can rapidly move you past challenges to help transform your business with trust and confidence.

Creating end-to-end value with a modern data framework

Data’s value is in its power to transform operations. Our team helps unlock this value with a clear vision and strategy, a sound technology foundation that integrates Google Cloud through data and technology evaluation and mapping and a business reinvention mindset focused on data driven culture and process optimization.

Our data value acceleration framework utilizes Google Cloud BigQuery, Dataproc, Dataplex, Vertex AI, Gemini, and Agentspace. Each technology plays a unique and invaluable role in data modernization, management, insights, monetization, and AI-driven automation. Together, the framework and capabilities create a data value chain that can unlock enterprise value.

Our offerings

Data modernization
Data management
AI and machine learning
Data insights
Data monetization

Data modernization

PwC’s structured approach to data modernization leverages a data value chain that seamlessly connects data sources to enterprise value. Quickly analyze data to extract actionable insights, enabling informed decision-making and agile strategy pivots. Based on Google Cloud, this foundational infrastructure accelerates digital transformation with trust, scalability and flexibility.

Data management

Effective data governance increases the value of data by improving its reliability, accessibility, and responsible use. It fosters trust in data, mitigates risks, and enables organizations to confidently leverage data for innovation and growth. Our approach leverages rules of engagement, people and organizational bodies, technical and architecture and process and policy. We combine industry standards with our data governance control framework to support the review and assessment of data governance policy and procedures.

AI and machine learning

Many clients focus on AI and ML use-cases and features that yield productivity savings yet fail to rethink the end-to-end process and harness the overall potential of AI. By promoting data literacy and accessibility, organizations can activate deeper insights and drive smarter innovation by identifying and prioritizing use cases, pilot MVP/POCs, amplify ROI and design with AI at the core. Finally, we bring an interwoven set of Google Cloud capabilities such as Vertex AI, Gemini, Agentspace and NotebookLM that helps companies innovate at scale with a high probability of ROI that empowers business users.

Data insights

Moving beyond analysis takes data productization. Our team helps you create data driven solutions that solve real business problems that allow for ease of deployment and scale across your organization. From business requirements definition, persona based wireframes and critical data elements. Our framework can help you productize your analytics-based solutions to enable scale and efficiency.

Data monetization

Monetize data insights by creating data products, forging collaborations and leveraging data marketplaces. These marketplaces facilitate data discovery, access, and transactions, enabling organizations to acquire external data to enrich their own insights or unlock the financial potential hidden within their data and drive growth. Investing in the right infrastructure and knowledge accelerates value realization and reduces time to insights through data reuse.

Why PwC and Google Cloud

Size-enabled scalability: Jointly, our size and shared capabilities help us ramp up and down seamlessly, and as needed, to manage the influx of demand and changing needs with minimal impact on productivity during a transition.

Improved delivery speed: We can apply our established synergies and learnings from past engagements to help deliver value faster and manage timeline constraints during execution.

Lasting change management: Our ability to add people and process knowledge to technology makes sure clients aren't just maturing digitally, but also changing their fundamental business model to sustain benefits of change over the long term.

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Contact us

Saurabh Mohanty

Principal, Google Cloud Alliance Data and AI Leader, PwC US

Lokesh Madaan

Managing Director, Google Cloud Alliance, PwC US

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