Spreadsheets are often the tool of choice for many organizations to store and arrange information for financial planning, analytics, compliance, and more. Ironically, for many business processes that involve managing data, it creates the exact opposite effect––silos of information and inefficiency. And because it stores organizational data in a readily sharable way, there is a high risk of exposing confidential information.

Read this Infor best practice guide to discover the top five business processes that a modern data and analytics architecture can automate and deliver far more value than spreadsheet-driven techniques.

Infor Best Practice Guide: 5 Ways Modern Analytics Reduces Spreadsheet Risk and Inefficiency

How do I know which orders are on hold? – Pick Release / Pick Confirm

Orders that are on credit hold, customer hold, user hold, margin hold, credit card hold, or pricing hold cannot be selected for Pick Release or Pick Confirm. The ORD952B, Orders Not Selected Report, can be requested at Pick Release or Pick Confirm to list any order that would normally qualify for selection, but has been excluded for other reasons, and to print that reason. ORD952B has been modified to validate the hold status of the original customer order, instead of the intercompany automation warehouse order that is being processed, and to print a reference to the original customer order along with the reason.

OPERATIONS: Update, Cancel or Remove Outbound Order Lines

FINANCE: Currency Differences Accounts

TECHNOLOGY: Advantages of Data Replication

Instead of sharing tables through logical linking, you can replicate table content between companies. This approach allows certain non-key attributes of a record to vary by company. For example, if you replicate bills of materials rather than sharing them, each company can associate a different warehouse with the same bill of material. This way, the bills of materials are consistent across companies, while the warehouses can differ.

Replication also enables selective availability of records in other companies. For instance, when replicating items, you might limit which items are available in a sales company based on their item group, only including end items. You can further refine replication to specific subsets, such as particular item groups.

Keep in mind that replication requires any referenced tables to be either replicated or shared as well.