首席财务官和财务总监数据指南

Make better decisions and drive stronger businessoutcomes by getting the most from your data. Table of Contents Adaptability Starts with Data The Intelligent Data Core Answering key business questions.Multidimensional financial reporting.Management and line of business reporting.Planning and variance analysis.Ad hoc analysis. Workday Analytics for Every Stakeholder Bringing It All Together Further Learning Adaptability startswith data. In today’s changing world, it has never been more important forfinance to make decisions based on the most comprehensiveand accurate data. But the increasing volume and breadthof data have long been challenges for finance—and have onlyaccelerated as companies measure broader metrics with morefactors, such as employee satisfaction; operations data;and environmental, social, and governance (ESG) data. There’s also greater pressure on finance to deliver data to stakeholders atall levels of the business. Yet the proliferation of data, functional silos, andcomplex technology restrict many finance organizations from efficientlymeeting the basic requests of their business partners, let alone meeting theirown goals. With the right foundation, finance can uncover meaningful insightsthat tell the full story of the organization and more easily adapt to a changingbusiness environment. Read on to learn how Workday can help answer some of the top businessquestions related to your people and your finances—going beyond thecapabilities of a traditional enterprise resource planning (ERP) system. The intelligent data core. Key features: Data preparation. To get the most from your data, you first have to bring it all together. Workdaysecurely connects people, financial, planning, and third-party data from acrossthe business within the financial system of record. This gives finance ownershipover its data while reducing data redundancy and delivering a complete andmultidimensional view of the business. •Data pipelines are fundamentally different in Workday. Business users canefficiently prepare data for consumption with clicks (not code), full auditability,and drill-to-detail at any step along the way. Apply joins, unions, group-by,and filter functions; build computed fields; and govern data using the Workdaysecurity framework. Accounting engine. In other words, customers gain one finance-owned data hub to integrate,prepare, and—when necessary—create accounting from data originating inany source. With the most critical data connected by the same data model,finance can give executives and decision-makers a trusted, richer view oftheir business across reports and reporting tools; streamline core accountingprocesses by centralizing relevant information and reducing reconciliations;and respond quickly when new questions are asked—all while maintainingconsistent security and data integrity. •Workday Accounting Center takes ingested data, then enriches it with calculationsand transforms it into accounting in the system of record—owned and managed bythe accounting team. Workday Accounting Center creates a virtual subledger, thensummarizes and posts it in Workday. Designed for accounting and finance, Workdayprovides oversight into data transformation so you can monitor data as it movesfrom ingestion through reporting, modify accounting rules, and continuously trackchange with always-on audit trails. Machine learning. •Embedded within the intelligent data core are machine learning algorithms andconfigurable frameworks that securely activate and intelligently automate businessprocesses. These capabilities make transaction processing touchless and helpprioritize exceptions. For example, invoices are ingested, intelligently routed andcategorized, and flagged for review should anomalies or exceptions exist. Healthcare: Answering key business questions. •How are our engagement initiatives impacting employee andpatient satisfaction?•What is driving variation in our service-line revenue?•Which suppliers are used in an encounter, and where can we reducecosts by physician and location? How can I maximize profitability within my industry? Bringing all your data together helps you make informedbusiness decisions with insights into operational drivers offinancial results relevant to your industry. Professional services: Insurance: •Is our pipeline sufficient to meet our goals?•What’s the status of customers, and who are the most profitable?•Which projects are at risk, and what’s the financial impact tothe business? •Which types of policies and claims are having the biggest impacton profitability?•Where should we invest across captive agents, independent agents,and direct marketing?•How do we better drive upsell and cross-sell by understandingour policyholders? Read more use cases for blending non-Workday and Workday data foryour industry. Banking: •Which factors best predict delinquency and charge-offs?•Why has our charge-off rate increased over time?•Which underwriters or brokers are