Sold by: PwC
Advanced Finance Analytics (AFA) helps enable the finance function to become strategic business provider by unlocking next generation insights and analysis to support strategic decision-making. Advanced Finance Analytics brings PwC’s industry knowledge and combines AWS's technological capabilities with PwC's domain knowledge to deliver a strong foundation for finance functions, enabling them to demonstrate and deliver value rapidly and confidently.
Overview
Advanced Finance Analytics is a holistic solution that can empower finance functions to become strategic providers in business growth by delivering valuable insights and supporting commercial and strategic decision-making. Utilizing AWS's suite of cloud services, Advanced Finance Analytics consolidates data from domain-specific systems at a detailed level, often handling datasets with hundreds of millions or billions of rows. This allows for rapid summarization of data into top-level KPIs and real-time drill-down capabilities.
The solution can address key challenges faced by finance leaders, such as managing financial performance in volatile markets and overcoming fragmented data sources. By providing a central point of control and self-service dashboards, Advanced Finance Analytics helps enhance decision-making and reduces manual errors. It also offers strategic modeling, real-time performance management, and investment market insights, contributing to a more fully integrated finance platform that can support enterprise capital, asset-liability management, and risk analytics.
Advanced Finance Analytics helps finance functions deliver a strategic FP&A capability, create valuable insights, and become a trusted business provider that support commercial and strategic decision making to help drive growth.
Strategic modeling and annual planning Strategic modeling and annual planning processes that provide granular financials, leverage asset/liability cash flow projections, integrate with budgeting, workforce, and performance management to enable re-forecasting and simplify user experiences.
Advanced earnings analytics
Earnings analysis through multi-basis analytics — such as an Advanced Source of Earnings analysis — that connects earnings across reporting bases and aligns them with the plan, attributing variances to customer behavior and capital markets.
Dynamic performance tracking and management
Granular deal block, in force and new business performance tracking versus pricing and ongoing management to help manage performance proactively and inform future business decisions
External market analysis and insights
Market insights across demographic trends, economic conditions, peer performance, and investor/analyst expectations.
Enterprise/corporate capital, ALM and risk analytics
Corporate management reporting with capital, asset-liability management and risk scenario analyses.
Shareholder value management
A single connected environment that can analyze and manage performance across each of the components of long-term value/embedded value creation.
The team will implement solutions in clients AWS environment through a structured professional services engagement.
Highlights
- Strategic Modeling for Competitive Advantage and Collaboration: Advanced Finance Analytics boosts collaboration by 45% and increases analysis time by 30% through advanced forecasting models and a single source of truth for finance, actuarial, investment, and risk data. Automated data ingestion and standardized transformations improve drill-through, eliminating manual tasks. Strong pipelines, AI, and machine learning enhance insights, freeing up to 60% of time spent on manual data preparation.
- Granular Advanced Earnings Analytics via Self-Service Dashboards with Strong Drilldown: AFA delivers up to 95% of key metrics via self-service dashboards, eliminating disparate sources. A consolidated data model integrates domain-specific data at scale, handling billions of rows. Built-in accelerators and taxonomies support leading reporting practices, enabling executives to view top KPIs while analysts drill down to subledger granularity for rapid KPI analysis and insights.
- Balance Sheet Improvement & Capital Management with AI & ML: AFA uses AI and ML to help analysts quickly assess economic shifts and policyholder behavior without waiting for heavy models. Applications include dynamic reforecasting, sensitivity analysis, and what-if scenarios. Utilizing SageMaker, it ensures governed, retrained models with accessible results via AWS Lambda and QuickSight, supported by strong controls and monitoring to enhance confidence and meet audit and compliance needs.
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To learn more, please reach out to our PwC AWS Alliance Team via: us_aws_marketplace_sales@pwc.com