Search Results: risk management (721)

The migration to the cloud is happening at a tremendous pace. Putting an adoption framework in place becomes a critical need for business in order to be successful. However, this is not a simple task and requires a team effort, risk mitigation, and governance policies.

Even in normal times, good inventory hygiene suggests that you continuously update your inventory control parameters: reorder points, order quantities, safety stocks, mins, maxes, lead times. Beyond that, you should be updating your inventory strategies, such as adjusting the target service levels or fill rates for every item you hold. That’s the “should.”

Setting a target service level or fill rate is a strategic decision about inventory risk management. Choosing service levels can be difficult. Relevant factors include current service levels, replenishment lead times, cost constraints, the pain inflicted by shortages on you and your customers, and your competitive position. Target setting is often best approached as a collaboration among operations, sales and finance. Inventory optimization software is an essential tool in the process.

Inventory management is not a squishy area where success can be described in vague language. Success here is a numbers game. There a number of key performance indicators (KPI’s) available to you, including Service Level, Fill Rate, Inventory Turns, Inventory Investment, and Inventory Operating Cost. Companies differ in the importance they assign to each metric such, but you can’t win without using some or all of these to keep score.

Safety stock is a critical component in any system of inventory management. Indeed, some inventory software treats safety stock as the key decision variable in the quest to balance inventory cost against item availability. Unfortunately, that approach is not the best way to strike the balance.

This session is focused on the best practices for data migration and upgrade from Dynamics AX 2012 to Dynamics 365 Finance & Supply Chain. With data migration and upgrade projects, the best practice methodology followed is to execute these upgrades in a prescribed manner to limit risk and costs. We’ll review leveraging the available tools as templates, DMF Data Management Framework and RSAT regression testing. Their usage depends on the client’s needs for the migration and upgrade.
Project leads, Technical leads, Architects, Developers, Database specialist will learn from a best practice and proven approach to executing a data migration and upgrade in three phases; Analyze, Execute and Validate. This includes analyzing the data and code upgrade, setting up Azure LCS, performing the upgrade to plan and validation of the upgrade before cut over to production.

This session will be available for CPE credits pending completion of session survey post event.