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Today we collect vast amounts of information and need to leverage it to manage the business. But as former General Electric CEO Jack Welch said, “Too often we measure everything and understand nothing”. That being said, it is appropriate to ask some key questions about what Key Performance Indicators we should measure. During this session, various types of key performance indicators are discussed and a framework is presented to help you decide which ones you should track for your business.
A significant cost to manufacturing, distribution and retail organizations is the inventory carried to support customers and sales. Effectively managing and minimizing investments in inventory can certainly provide competitive advantage and bottom-line benefits. But accomplishing these tasks can be daunting, particularly when optimal service levels still need to be met. During this session, we look at the key drivers of inventory, the sensitivity of each driver, and how inventory performance metrics can be leveraged to help optimize the management of this important asset. Examples of various inventory metrics are also shown to illustrate their impact on service levels and other critical business areas.
Effectively implementing key performance indicators requires more than just selecting the right metrics. It is a project for which success is tied to how well the system is used to manage the business. In this session, we present some “do’s” and “don’ts” to help you avoid common pitfalls that we have seen in key performance indicator projects over the years.
Learn how successful demand-driven companies are approaching the demand forecasting process! During this session, we cover some forecasting essentials, help you better understand demand influences and their effects, explore various methods for using downstream data to improve the demand planning process, and discuss the key elements of a continuous forecast improvement plan. In addition, we share some best practices in generating baseline forecasts and leveraging analytics to measure forecast accuracy, improve forecasts over time, and better manage requirements related to manufacturing, inventory control and customer service.
Demand forecasting is one of the most difficult processes to manage and perhaps one of the most important processes to affect many downstream activities, as well as the overall efficiency of the business. In this session, we explain some approaches for establishing a practical forecasting process, evaluate various forecasting methodologies, share some industry benchmarks for success, and discuss key measurements that should be used in controlling the forecasting process.