Techsplainers by IBM

This episode of Techsplainers explores forecasting—the method of predicting future outcomes by analyzing patterns in historical and current data. We explain how businesses use forecasting to estimate demand, project sales, and plan for growth, with AI-powered tools now reducing errors by up to 50%. The episode walks through the six-step forecasting process and compares qualitative methods (like the Delphi method and market research) with quantitative approaches (including time series forecasting and causal models). We also examine how AI and machine learning are transforming forecasting accuracy and speed, and explore practical applications across financial planning, production planning, sales, and supply chain management. Whether you're new to business planning or looking to enhance your forecasting capabilities, this episode provides valuable insights into this essential business practice.

Find more information at https://www.ibm.com/think/podcasts/techsplainers
Learn more about forecasting in https://www.ibm.com/think/topics/forecasting

Narrated by Amanda Downie

This episode of Techsplainers explores financial planning and analysis (FP&A), completing our week-long series on business planning after covering demand forecasting, integrated business planning, and business agility. We examine how FP&A teams collect and analyze financial data to inform business strategy and optimize decision-making. The podcast breaks down the four key components of FP&A: data collection and consolidation, planning and forecasting, budgeting, and performance monitoring and reporting. We also discuss the various tools and technologies that support FP&A functions, from traditional spreadsheets to cutting-edge AI and machine learning applications. Finally, we look at the future of FP&A, highlighting how the role is evolving to include more strategic partnerships across organizations and greater involvement in environmental, social, and governance (ESG) initiatives.

Find out more about financial planning and analysis (FP&A) at https://www.ibm.com/think/topics/fpa-financial-planning-analysis
Find more information at https://www.ibm.com/think/podcasts/techsplainers

Narrated by Amanda Downie

This episode of Techsplainers explores business agility, building on our previous discussions of demand forecasting and integrated business planning. We examine how organizations sense and adapt to change through innovative solutions that deliver business value. The podcast breaks down the four core pillars of business agility—culture, people, governance, and leadership—and explores the benefits of an agile approach, including customer-centricity, accelerated decision-making, continuous improvement, and enhanced adaptability. We also cover best practices for implementation, from formalizing vision statements to creating flexible roadmaps and piloting agile strategies in targeted areas. The episode concludes with a real-world example of Solar Coca-Cola in Brazil, showing how they implemented agile processes that improved efficiency and productivity through cross-collaboration and knowledge sharing.

Learn more about business agility at https://www.ibm.com/think/topics/business-agility
Find more information at https://www.ibm.com/think/podcasts/techsplainers.

Narrated by Amanda Downie

This episode of Techsplainers explores integrated business planning (IBP), a comprehensive framework that aligns strategic, operational, and financial planning across an organization. Following our previous discussion on demand forecasting, we examine how IBP brings together diverse business functions—from sales and marketing to finance and IT—to create a unified business plan. The podcast breaks down the six pillars of IBP: strategic planning, operational planning, financial planning, cross-functional collaboration, data integration and analytics, and continuous performance management. We also highlight key benefits, including enhanced decision-making, improved organizational alignment, increased agility, optimized resource allocation, and better risk management. Finally, we cover implementation essentials and the technological components needed to support effective integrated business planning, from corporate performance management systems to cloud-based solutions.

Learn more about integrated business planning (IBP) https://www.ibm.com/think/topics/integrated-business-planning
Find more information at https://www.ibm.com/think/podcasts/techsplainers

Narrated by Amanda Downie

This episode of Techsplainers explores demand forecasting, the process that helps businesses predict future customer needs using historical data and analytics. We examine how modern organizations are leveraging AI, machine learning, and predictive analytics to enhance forecasting accuracy in real-time. The discussion covers qualitative methods like the Delphi method and sales force composites alongside quantitative approaches such as moving averages and econometric modeling. We also explore the six key steps to implementing effective forecasting and four major benefits: informed scaling, accurate budgeting, strategic inventory management, and pointed decision-making. Whether you're managing a supply chain or making strategic business decisions, understanding demand forecasting can help you anticipate market needs with greater precision.

Learn more about demand forecasting https://www.ibm.com/think/topics/demand-forecasting
Find more information at https://www.ibm.com/think/podcasts/techsplainers

Narrated by Amanda Downie