In recent years, the roles of Finance and the CFO have broadened along with their influence on corporate strategy and performance. Responsibilities and expectations have expanded beyond traditional areas such as financial reporting, treasury, audit and compliance to providing more strategic input around revenue growth, profitability optimization, corporate portfolio management and enterprise risk. The pressure of increased expectations and constrained resources is made even more challenging with the sea of data generated from an increasingly digital world. So, how does the finance function get it all done? High performing companies have addressed this challenge by reducing time spent on manual data preparation and increasing time spent on data analysis. Best practices recognize that success requires a strong balance of technology, data science, and data visualization to provide actionable insight. This course provides guidelines and best practices for how Finance Managers can better communicate, collaborate and harness knowledge across different business functions using advanced analytic techniques.
*Recall what we mean by financial analytics and categorize the various types *Distinguish between traditional reporting, dashboard visualizations, and full analytic applications *Comprehend the connection between financial results at the top and the underlying operational activity *Recognize that data may need to be processed before being utilized Recognize the need for storytelling when communicating with analytics including identifying the proper context
*What is Analytics *Finance as a Trusted Advisor *Foundations for Analytics *Executive Management’s Finance Focus – Performance Management *Telling an Analytics Story *Performance Driver Framework *Risk Analytics
Managers in an accounting, general finance, FP&A or strategy role who see the opportunity to improve their analytic skills and apply data analytics techniques to drive data-driven decisions in their organization.