SAP C_IBP_2305 Dumps

Forecast Accuracy measures

Results of time series analysis

Open Sales Orders

Consensus Demand

Sourcing via Costs

Customer Sourcing Rule

Sourcing via Production

Unspecified Sourcing

Sourcing via Demand Prioritization

Number of fair share segments Additional tiering costs (default) Number of fair share segments late delivery

Number of fair share segments Additional tiering costs (default) Inventory days of supply

Number of fair share segments Maximum days of coverage Number of fair share segments late delivery

Number of fair share segments Additional tiering costs (default) Maximum inventory

Comparison Chart Types

Seasonal Chart Types

Trend Chart Types

Geographic Chart Types

Simulation Chart Types

By Number of Items (Sorted Values)

By Pareto Principle (Sorted and Cumulated %)

By Number of Items (Sorted Average)

By Pareto Principle (Sorted and Calculated Values)

Calculating the value of inventory on any time profile level ensuring flexibility of calculation

Calculating how many periods inventory is going to last based on the planned demand

Search for and return the last not null value of the inventory key figure

Calculating the value of inventory on a weekly basis, using static aggregation from the daily level

Target key figures for these snapshots must have lag as a root attribute in its base planning level.

The number of lag-based snapshots are limited to nine levels.

Lag-based snapshots are created in the Configuration app for a fixed time range.

Target key figures for these snapshots are exposed to the user in planning views.

Setting a separate theme for the Home page in the Web UI.

Add the system name and tenant information from the About section to the Home page.

Defining a different default planning area via the User Preferences.

Having a different set of tiles in the Home group of apps.

Violation of minimum aggregated inventory values

Violation of minimum resource utilization

Not respecting production capacity

Not-fully satisfied demands

Virtual Master Data Type

Reference Master Data Type

Compound Master Data Type

External Master Data Type

This type of key figure is not usually stored and it cannot be set to editable.

This object is not exposed to the user in planning views or modeling.

This object contains user-defined criteria that monitor the running of business plans.

This object provides a single value for a unique planning combination.

Purge Key Figure Data

Purge Key Figure Data Outside Planning Area Planning Horizon

Purge Non-Confirming Data

Purge Master Data

The name of the realignment step should be no longer than 20 characters.

You must mark the realignment step as "shared" and assign the steps to users.

The number of steps in the realignment run is limited to 255.

A realignment step can change master data, planning objects and key figures.

Time-Series-Based Supply Planning Optimizer

Calculate Target Inventory Components in Inventory Planning Profile Operator

Forecast Error Calculation in Inventory Planning Profile Operator

Multistage Inventory Optimization in Inventory Planning Profile Operator

Rolling Aggregation

Last Period Aggregation

Cumulative Aggregation

Dynamic Rolling Aggregation

Increase the use of incremental lot size beyond the frozen horizon.

Use non-overlapping networks by using subnetwork ID maintained at Location-Products to reduce the size of the problem.

Avoid using telescopic time buckets.

Keep the number of fairshare segments small.

Split into multiple planning areas to support weekly vs. daily planning needs.

Periods are identified by an alphanumeric prefix and profiles by an integer.

Both periods and profiles are identified by a unique integer.

Both periods and profiles have start and end dates.

Periods are identified by an integer and profiles by an alphanumeric prefix.

The key figure is calculated and system editable.

The key figure is stored and all editable.

The key figure is stored and system editable.

The key figure is calculated and all editable.

Finite and infinite heuristics

Supply optimizer and supply heuristics

Supply optimizer only

Finite heuristics only

Time profile level

Discretization

Processing mode

Global cost factors

Cloud Identity Authentication Service

Real-time Integration

Cloud Integration for Data Services

Smart Data Integration

Quotas can be modeled for sourcing location, production, and consensus demand.

Because quota violations shouldn't be possible, the non-delivery cost rate is less than quota violation cost.

Min and Max Quotas have to be the same as sourcing ratios.

The optimizer will only violate quotas if quotas are maintained as time-dependent key figures.

Filter blocks are imposed when modeling an attribute as a key figure.

Filter blocks can be visualized in SAP IBP, add-in for Microsoft Excel

Filter blocks are imposed when modeling attribute transformations.

Filter blocks are imposed when modeling cross-period calculations.

Filter blocks can be visualized in the Key Figure Calculations app.

Substitute Missing with Mean or Median in Sales History

Intermittency Detection and Correction in Sales History

Promotion Sales Lift Elimination

Bias Detection and Correction in Sales History

Link two analytics charts.

Rename the charts.

Add process templates.

Display all assigned analytics on a single UI.

Use drill-down functionality.