The Ledger

Curated content for
analytical business leaders

CFO Insights: What is On Your Transformation Risk Checklist? Part I

“Core legacy systems may not be able to provide timely and accurate information and analysis for business decision-making. In cases where organizations have grown inorganically through acquisitions, critical systems and data sets may not be seamlessly integrated to give comprehensive real-time insights on key business issues. Thus, core data and IT infrastructure often must be improved before process and operational changes can be delivered”

Read More at Deloitte >

CFO Journal: Automated Financial Forecasting: Remaking the Planning Process

“A solid foundation of data quality and data management is the first essential input to establishing automated, adaptable, and real-time forecasting. Leveraging continuous flows of data, algorithmic forecasting models allow organizations to quickly adapt to ever-changing business environments.”

Read More at The Wall Street Journal >

CFO Dive: Digital Transformation, Worker Retention Can Cut Costs

“Taking steps to invest in technologies…that can take on time-consuming or repetitive processes rather than reducing one’s workforce can help businesses more successfully weather an economic dip. The investment in processes such as digital transformation “often has an immediate effect on labor costs and savings,” Armanino said. Deploying technologies like AI can help to drive cost-savings as well as provide a short-term return on investment for the business, he said.”

Read More at CFO Dive >

CFO Journal: Improve Working Capital Without Renegotiating Terms

“Working capital process challenges can range from ineffective communications between sales systems and ERPs to inadequate technology training. For example, if the descriptions of products in a company’s sales platform do not align to the back-end billing system, manual intervention will be required to correctly reflect on the invoice what was sold on the purchase order, introducing both delays and the possibility of errors. Meanwhile, ineffective tech training for employees using systems that feed data into reports and dashboards can lead some employees to create workarounds and manual processes that introduce inefficiencies, errors, and—ultimately—inaccurate metrics.”

Read More at The Wall Street Journal >