20220422-德勤-Frictionless_Finance_Driving_Data_to_Value_20页_1mb

报告摘要

Frictionless Finance: Driving Data to Value

Key Message: The aim is to transform finance from a reactive scorekeeper to a proactive value-creating partner through technology and automation, enabling organizations to make faster, better decisions.

Report Context: Published as a collaboration between AICPA & CIMA, Workday, and Deloitte Consulting, following webcasts based on Deloitte's Finance 2025 Revisited research. It proposes a roadmap for investing in the future of finance.

Core Principle: Frictionless Finance achieves its goals by addressing eight key dimensions largely defined by Deloitte's predictions.

The Eight Frictionless Predictions (Abridged):

Prediction No. 6: ERP moves to the cloud: Cloud ERP adoption is crucial for standardization, process automation, and enabling other transformations. (Call to Action: Accelerate cloud ERP migration if not already done; customize carefully).
Prediction No. 1: The Finance Factory: Automation enhances efficiency (e.g., towards zero-day close). Standardize non-strategic processes and automate key activities. (Automation as a major enabling force).
Prediction No. 7: Data: Centralized, high-quality data is essential. Finance must own and manage the data model for internal and external insights. Develop skills for querying, analyzing, and deriving value from data. (Call to Action: Define and invest in the finance data model; improve data quality).
Prediction No. 8: Workforce and Workplace: New demands on finance talent include configuring/customizing digital tools, data storytelling, influencing, and working with intelligent platforms. Talent needs shift towards deeper financial knowledge and digital optimization skills. Work may increasingly be remote/hybrid. (Call to Action: Appointment of "Chief People Officer" in Finance; aggressive talent strategy).
Prediction No. 2: The role of Finance: Transitions from report generation to insight generation ("Center of Excellence" model). Take ownership of the single data model to enable broader strategic insights and collaboration (Call to Action: Use predictive analytics, leverage unified data).
Prediction No. 3: Finance Cycles: Continuous planning and reporting require new capabilities, especially incorporating non-financial data (like ESG) in real-time for dynamic forecasting. (Call to Action: Implement continuous planning, update forecasts frequently with relevant data).
Prediction No. 5: Operating Models: Changes are about capability enhancement, not just cost reduction. Leverage technology for remote operations, collaborate with managed services/partners, and use freelancers or gig workers effectively. (Call to Action: Evaluate/adjust operating model post-pandemic, embracing new service delivery methods).
Prediction No. 4: Self-Service: Finance should embrace self-service tools that enhance reporting efficiency and empower business partners by democratizing data access, while establishing clear governance. (Call to Action: Pilot self-service features; establish data governance and core metrics).

Driving the Data-to-Value Process:

Achieving frictionless finance involves:

Foundational Use of ERP Systems (Cloud preferred).
Automating the Finance Factory (Operational & Transformative).
Ensuring Robust Data Modeling and Governance.
Developing Relevant Skills and Capabilities (Both Finance and Partner Roles).

Business Case for Frictionless Finance:

Involves looking beyond cost savings to strategic benefits such as:

Creating a platform for end-to-end connectivity.
Enhancing product/service and customer propositions.
Generating value through higher-level analysis (e.g., contract reviews).
Improving visibility (supply chain, workforce) and innovation skills.
Agility in planning and timely cash flow management.

Conclusion:

Continuous improvement focused on the new Finance 2025 dimensions enables organizations to remove friction, move from scorekeeping to value architecting, and leverage technology for strategic impact and sustainability.

展开完整摘要