Overview
PwC’s R&D Operations Platform can quickly and easily ingest R&D data with a flexible data model. It can also seamlessly integrate additional data sources, such as custom portfolio prioritization and strategic goal data, to meet organizational needs. Our R&D business and technology professionals work with organizations to identify and standardize data aligned with specific business requirements.
After configuring data and user-facing views, PwC collaboratively works to develop a business launch, change management, and user support strategy. This helps deliver a smooth platform launch for a wide range of end users, from R&D leaders to functional and operational teams. PwC helps both business users and the platform's technical back end, enhancing resources to drive business adoption of the platform.
Enhanced transparency across an organization’s R&D portfolio with PwC’s platform can provide user persona-specific visualizations to contextualize relevant information. By aggregating and synthesizing data at the desired level, users spend less time searching and scrutinizing data and more time making informed decisions.
The modular PwC R&D Operations Platform can help meet an organization's needs, including R&D portfolio reporting, parametric-based resource and financial forecasting models, and portfolio scenario models. PwC’s R&D business professionals can work to configure forecast models for each relevant R&D function and role so that they align with an organization’s business practices.
The team will implement solutions in clients AWS environment through a structured professional services engagement.
Highlights
- Integrated analytics and AI-powered data visualizations enhance R&D operations by providing real-time insights, predictive analytics, and variance analysis. This enables seamless integration from across the data ecosystem, improving decision-making and operational efficiency. With interactive dashboards and intuitive visualizations, stakeholders can quickly identify data insights and predict outputs.
- AI-driven resource and financial forecasting can enhance strategic planning and operational efficiency through industry-leading algorithm design. This approach improves decision-making by offering forecasting on resource and budget requirements. Stakeholders can leverage the reporting visualizations to quickly identify potential risks, optimize resource distribution, and adjust financial strategies, facilitating more effective management of resources and finances.
- System-agnostic plug-and-play capabilities enhance flexibility and scalability by enabling seamless integration of diverse technologies without compatibility issues. This speeds up deployment, cuts costs, and supports smooth integration into existing infrastructure. An agile approach streamlines operations and ensures systems can adapt to future technological changes and strategic shifts.
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To learn more, please reach out to our PwC AWS Alliance Team via: us_aws_marketplace_sales@pwc.com