Advanced Course on SAP IBP (Integrated Business Planning)

Create and configure simple and compound master data types for global product, location, and customer, then activate them and assign to a planning area and levels.

Explore versions in SAP integrated business planning to simulate scenarios without impacting the operational plan. Build growth and contraction versions to assess capacity, facilities, and supplier commitments with data-backed insights.

Explore versions in IBP, including upside, downside, and version-specific master data, to test scenarios, compare forecast accuracy, and promote key figures to the baseline.

Explore how key figure values are stored, disaggregated, and calculated in SAP IBP, including stored, calculated, and stored-and-calculated figures, with consensus demand at the week broadcast planning level.

Delete master data in Excel by selecting the item in the master data pane, choosing the target unit of measure, and confirming delete and continue, then refresh to verify.

Define target and conversion factor master data for unit of measure to express finished goods as each, pcs, tons, box, and crate. Validate definitions and view data at unit levels.

Learn how planning objects link product data to key figures across planning levels in ibp, including updates visible in the managed planning objects app and excel view.

Create a forecast accuracy key figure to measure deviation between actual sales and forecast, using one minus the absolute deviation over actual, at week and month product levels.

Create a calculated key figure in SAP IBP to display sales history before the current period and consensus demand for future periods, enabling planners to view one figure.

Create a product-level key figure that calculates monthly working days using the IBP calendar function with two parameters, enabling accurate distribution of forecasts based on holidays and weekends.

Create a day-level production measure by dividing monthly consensus demand by working days, using a key figure in SAP IBP that converts monthly demand into daily production targets.

Create alert key figures in SAP IBP by comparing test cvdpv1 and consensus demand, then mark months where the difference exceeds 100 with a red color.

Create an attribute as a key figure and apply the customer sourcing ratio to disaggregate consensus demand from product-customer level to product-location level.

Learn to use lag based snapshots in SAP IBP to store and compare monthly forecasts across lags (lag zero, one, two) with the lag based snapshot operator.

Explore how the snapshot operator copies the consensus demand to snapshot key figures in SAP IBP, and troubleshoot why values appear for only a few months.

Explore how product replacement works in SAP IBP by creating a new product, assigning the forecast from the old product, and phasing out the old product from April to August.

Explore multiple product assignments by linking a new product to two reference products, assign forecast quantities using sales history with 30/40/60% weights, and review Excel-based stat forecast results.

Learn to use charts with filters and series in SAP IBP to compare actual quantities with statistical forecast quantities and assess forecast accuracy across month over month scenarios.

Learn to invoke SAP IBP charts in Excel by installing and enabling the Excel add-in, adding trusted locations, and plotting actual and forecast quantities with a line chart.

Identify and cleanse outliers in sap ibp with a variance method. Compute mean and standard deviation, set upper and lower control limits, and substitute outliers by mean or tolerance.

Identify outliers with the interquartile range method by calculating Q1 and Q3, set limits at 1.5 times IQR, and substitute with mean or tolerance in SAP IBP forecasts.

Learn how the level shift option in IVP outlier cleansing detects shifts, segments data to compute local means and deviations, and corrects outliers using the segment mean and tolerance.

Learn to build a forecast model in IBP using a simple moving average, configuring a 3-month window, 12-month history, and extending calculations to future periods.

Explore the best fit concept in IVP, comparing moving averages and exponential smoothing, using MAPE to identify the best algorithm and generate ex-post and future forecasts in IBP.

Create and compare forecast scenarios in SAP ERP using baseline data to test three- and six-month moving averages, run forecasting algorithms, and evaluate accuracy.

Explore how SAP IBP enables integrated business planning with a single operating plan and real-time, cross-functional collaboration across demand, supply, inventory, and finance to orchestrate agile, enterprise-wide planning.

Unify business planning with IBP by blending bottom-up and top-down insights to align demand, supply, and inventory through a consensus forecast, SNOP, and a control tower powered by SAP HANA.

Explore how IBP architecture integrates statistical forecasting with human insight to produce a consensus demand forecast and drive supply and inventory planning.

Unify demand, supply, and finance planning on a single operating plan with IVP, enabling what-if analyses, real-time analytics, and Excel integration on SAP S4 HANA.

Scale and unify planning with SAP IBP, handling data size on a data model that keeps the same truth across demand, procurement, production, inventory, and logistics, with Excel compatibility.

Explore how IBP with a single connected data foundation supports both standard and custom planning, handling MTO and MTS strategies, flexible forecasting, scenario modeling, and outlier-resistant demand insights.

Learn how IVP acts as a central planning engine, integrating ERP, CRM, BPC, APO, BW, WMS, and Excel, enabling real-time heuristic runs and what-if scenario collaboration.

Explore how IVP unifies demand, supply, and finance planning with what-if analysis, real-time analytics, unified data model, and a single operating plan, enabling cross-department collaboration and flexible decision making.

Explore the IBP reporting interface, which offers an intuitive, Excel-like experience along with web-based reports, query apps, and SAP Jam connected to social platforms for operations, communication, and MIS reporting.

Improve supply chain visibility and forecast accuracy through unified cross-department planning, OTIF tracking, production plans versus actual execution, and Excel-based tools with demand sensing to align demand and supply.

Explore how IBP enhances sales and operations planning through demand management, forecasting, inventory planning, and capacity planning, enabling real-time collaboration, alerts, and a single version of truth.

Explore time series based supply planning in IBP, focusing on three pillars—unconstrained supply, finite plans with priorities, and heuristic allocations—and how strategic rules drive allocations.

Explore the design to operate journey of the supply chain in sap ibp, from design and plan to manufacture, deliver, and operate, emphasizing resilience and customer impact.

Explore the four pillars of supply chain—design, plan, procure, and manufacture—and see how SAP IBP links design to execution with demand planning, statistical forecasting, MPS, and end-to-end visibility.

Discover how SAP IBP unifies demand, inventory, and supply with SNOP into a single cross-functional plan, enabling collaboration across finance, sales, and operations via unconstrained forecast and a control tower.

Compare MTO and MTS strategies, highlighting customization and specialization for MTO versus standardized products for MTS, and differences in demand patterns, lead times, suppliers, resources, and pricing.

Explore SAP's design-to-operate framework, linking design, plan, manufacture, deliver, and operate across the end-to-end supply chain. Examine IPP and tools like digital cloud manufacturing and S4HANA balance demand with capacity.

Tailor the planning process to the organization, emphasizing product management, portfolio management, and promotions to drive demand review and forecast.