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Demantra Product Roadmap and Functionality
The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decision. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.
Safe Harbor Statement
Oracle Demantra Product Function EBS E1 Siebel
Oracle Demantra Demand Management
Oracle Demantra Predictive Trade Planning
Statistical forecasting, causal forecasting, new product introduction, attribute based forecasting, multi-dimensional analysis, collaboration, events, exceptions, workflows
Replaces Demand Planning (1:1 migration)
Replaces Demand Forecasting and Demand Consensus (Net-Net migration)
─
Option: Oracle Demantra Advanced Forecasting and Demand Modeling
Cross-correlations, unlimited causal factors, nodal tuning, advanced statistical methods, Promotion modeling and event analysis, shape modeling
New Replaces Advanced Forecast Modeling (Net-Net migration)
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Option:Oracle Demantra Real-time Sales and Operations Planning
Balance supply and demand, synchronize marketing and supply chain on promotion plan, assimilate sales, finance, and operations into a cohesive planning process
New Replaces Sales and Operations Planning(Net-Net migration) ─
Define and manage promotions, compute and display lifts, base and lift decomposition, halo and cannibalization effects, promotion effectiveness and ROI analysis, scenario evaluation against profitability, quota, and allocated budget
New New New
Option: Oracle Demantra Deduction and Settlement Management
Reconcile deductions and payments with proof of performance from your customer (retailer) per promotion terms
New New─
Option: Oracle Demantra Trade Promotion Optimization
Suggest optimum promotions to maximize ROI New New New
Demand Management Sales and Operations Planning Trade Promotion Management
Oracle Demantra Products
Business Process Integration Plan
Demand Planning
Demantra Demand Management
Demantra Advanced Forecasting
Strategic Network Optimization
Inventory Optimization
Adv. Supply Chain Planning
Supply Planning
CRM
SRM
Supplier Contracts
SCM
Finance
Financial Planning and Budgeting
Sales and Marketing
Sales
Marketing
Trade Promotion Planning
Demantra Predictive Planning
Demantra Promotion Optimization
Demantra Deduction & Settlement
Salesand
OperationsPlanning
Supply Chain ExecutionManufacturing
Order Management
Shipping Execution
Logistics
Advanced Planning
Demantra to play increasingly key role in applications footprint
Oracle Demantra Product EBS JDE Enterprise1 Siebel Peoplesoft
EnterpriseDemand Management R11i10, R12 R8.12, R8.11SP1,
R9.0- TBD
Advanced Forecasting and Demand Modeling
TBD R8.12 (Other versions TBD)
- -
Real-time Sales and Operations Planning
R12 (Other versions TBD)
TBD - -
Predictive Trade Planning TBD R8.12 (Other versions TBD)
R7.8 (Other versions TBD)
-
Deduction and Settlement Management
- R8.12 (Other versions TBD)
- -
Trade Promotion Optimization
TBD R8.12 (Other versions TBD)
R7.8 (Other versions TBD)
-
Product Integration PlanC
RM
SCM
Near Term Demantra Roadmap
Goal RoadmapLower implementation cost;Out-of-box product integrations and business flows
Demand Management*Sales and Operations PlanningTrade Promotion Management
Maintain momentum;Deliver next generation functionality based on combined IP
Forecast engine settings validation intelligence*Attach rate enhancements
Lower TCO;Simplify technology infrastructure
Integrated install with ERP*Integrated user Mgmt/ experience*DB & App server support for Unix/Linux*Silent admin component install*Updated Java and plug-in components*Translation to multiple languages
New Technology uptake;Align to Fusion technology components
Fusion middleware (AS 10G)*BPELFusion BI
* Demantra release 7.1.1
Oracle promises and delivers
DemantraContracts
Consensus forecast,Demand priorities,
EBS(Inventory, Shipping, Order Management, Pricing, etc.
Inventory OptimizationASCP
Demandvariability
Shipments, Bookings, Returns, Calendars, UOM, Currency, Price lists, Items, Sales channels, Ship to locations, Organizations, Customers, Demand classes*
• Integrated Demand Management
– EBS 11i10 and JDE E1 8.12
– Pre-configured DM Model
– Pre-configured worksheets
• Integrated user experience and lower TCO for all six Demantra products
Hierarchies - Product family, product category, Organizations, Demand class, Ship From, Customer, Geography, Sales Channel
* Many business objects are not available in JDE- E1 and will be empty. Category codes for product and organizations (branches) will be seeded that can be to mapped to the JDE-E1 during implementation as needed. See R 7.1.1 TOI presentations for details.
R 7.1.1 Product Integration ScopeOvercome integration objections and up-sell options
Product Functionality
Demand Management
Demantra DM EBS DP E1-Numetrix DF/DCForecast shipments, bookings, or any other historical sales data
Supported
Supported, rolling horizon and historical accuracy report are not automatedNo support for lower than day-level forecasting (R12)
No support for masking
Data transformations and missing data interpolation
No support for data transformations
No support for missing data interpolation
Forecast simulation mode, use existing coefficient to score new history data
No support No support
Short forecasting cycle (no extensive batch processes to move data)
Build, populate, distribute, collect batch processes
Supported
Automatic determination of best forecasting levels in item and location hierarchies***
Pre-specify level at which to forecast
Pre-specify level at which to forecast
Supported
Rolling forecast cycle, automated forecast versioning, accuracy tracking
Supported, versioning and historical accuracy report are not automated
Forecast in monthly, weekly, daily, or more granular buckets*
No support for lower than day-level forecasting
Outlier detection and masking** Supported
Key functional advantages – statistical forecasting
* Requires customization for forecasting at lower than daily buckets. ** Requires to create series to display outliers. *** Requires initial one-time setup of forecasting tree and configuration of engine parameters.
Demand Management
Demantra DM EBS DP E1-Numetrix DF/DCCrostons and regression-based intermittent demand models
Only Crostons (R12) and MPT filter
Trends, seasonal, and smoothing models Supported Supported
Bayesian mix modeling to combine forecast methods – more accurate, points to several weighted forecast models
No support, only one best-fit forecast method
No support, only one best-fit forecast method
Only uni-variate regression models, no support for ARMANo support
Only Crostons
Multi-variate regression and ARMA models
Only ARMA models, no support for regression models
Causal forecasting•15 Out-of-box causal factors (constant, time granularity based trend/seasonal terms, price)•Model up to 5 new causal factors•Automatic identification of significant causal factors
No support (available with Advanced Forecast Modeling)
Key functional advantages – statistical forecasting
Demand Management
Demantra DM EBS DP E1-Numetrix DF/DCCollaborative workbench for internal and external participants
Requires separate cubes or measures, performance limitation Supported
Supported
Supported
Multiple units of measure and currencies UOM conversion supported, but display in only one UOM/currency
Supported
Online notes and audit trail No audit trail No audit trail
Off-line mode with automatic sync upon login
No support No support
Limited support
Workflow driven forecasting exceptions to ensure responsiveness
Limited support
Secure access and controlled data visibility
Supported
Shared and private worksheets No support
Key functional advantages – collaborative demand planning
Demand Management
Demantra DM EBS DP E1-Numetrix DF/DCWorksheets•Context sensitive, configurable, and embedded workspaces and graphs•Create new or modify out-of-box worksheets•Integrated KPIs and multi-view worksheets•Copy-paste and Excel-like working•Lock cells based either on validation or on conditional logic of other data cells
Flexible worksheets but no support for context sensitivity, multi-view, embedding, or edit-lock expression logic
Supported
Limited scalabilityFlexible formulaic expressions for calculations and data manipulation
Limited support via structured formulas
Limited support
Supported
Unlimited dimensions, levels, hierarchies 4 dimensions max per demand plan, performance
3 dimensions unlimited hierarchies
No concept of named worksheets. No support for context sensitivity, multi-view, embedding, or edit-lock expression logic
Allocation and aggregation across multiple hierarchies•Data editing and reconciliation at any level (top-down, bottom-up, and middle out forecasting)
Supported
High scalability and performance Limited scalability
Customer-channel-region specific pricing for accurate revenue forecast*
Supported
Key functional advantages – multi-dimensional analysis
* Requires to define/load prices for every combination; no precedence or prioritization logic available.
Demand Management
Demantra DM EBS DP E1-Numetrix DF/DCProduct chaining and supersessions Supported
Supported
Add new products for simulation purposes
Supported Supported
Supported Up-sell, Cross-sell, substitution support
No support
R 7.1.1 integrated to EBS 11i10 and E1 8.12 for history data, price list, UOM, currency conversions, calendars, items, customers, ship to, organizations etc.*
Integrated to EBS Integrated to E1
Attribute-based forecasting and display•Define attributes (as levels)
–High-Tech: CPU, speed, frequency etc.–Metal: Gauge, composition etc. –Media: Genre, rating, box office etc.–Consumer Goods: Brand, market segment etc.–Automotive: Color, trim, make etc.
•Forecast, display, and analyze demand by attributes
No support No support
Supported
New product forecast based on the past performance of multiple like products
No support
Key functional advantages – Miscellaneous
* Some data streams (manufacturing forecast, service parts usage history, service parts return history, 4 data streams related to CMROmaterial requirements, sales forecast) and ‘publish forecast to source’ functionality of EBS DP are not available out-of-box. Sales opportunity
integration to JDE-E1 which was available in Numetrix DF/DC is not available.
Demand Management
Demantra DM EBS DP E1-Numetrix DF/DCRequires mapping and data collection of model bills and historical sales, also requires new series and configuration to display planning percentages and dependent demand (solution guideline is available)
Support for CTO, PTO forecasting. Forecast planning percentages
Dynamic drilldowns across multiple levels within a hierarchy inside a worksheetSeries can be in either columns or rows
Limited support for 80-20, top 10 type selection needs
Selector tools for easy selective display
Limited support using queries
Requires extensive configuration Service parts forecasting No support
No support Intelligent rounding No support
No support
Multi-view worksheets display multiple levels of the hierarchy at the same time but each worksheet displays data at only one hierarchy level combination
No support
Series must be in columns (not rows) Supported
Key functional wish list
Demand Management
Demantra DM EBS DP E1-Numetrix DF/DCWorksheets are used as reports which are not as flexible, export to spreadsheet does not retain color coding
Adhoc and pre-seeded reports, exception and ranking reportsAutomated mapping of manufacturing weeks/periods to months/quartersAllocation floor
No support Per-dimension allocations No support
Requires access to business modeler Users can create new stored or formula measures
Limited support
Requires configuration of export integration profiles to selectively publish forecast for product family and members
Two-level (product family and members) planning
No support
No support No support Competency index based consensus forecasting
No pre-seeded reports. Adhoc and exception reports supported
The data must be available at day level to aggregate in different types of calendars
No support
Data must be bough in at the lowest level No support
Key functional wish list
Demand Management vs. Collaborative Planning
Requirement Collaborative Planning Demand Management
Demand Collaboration Yes
YesYesYes
Yes, multi-dimensional analysis and flexible, exception based frame work. Collaborative user groups can be defined across product roles. All collaboration features operate in the collaboration group context, who’s online, task management, workflow, worksheet sharing, security access to series and dimensionality, notes etc.
Customer VMI No supportSupply Collaboration No supportSupplier VMI No support
Requirement limited to forecast collaboration with trading partners– Use Demantra Demand Management
Extensive requirement around VMI replenishments and/or supplier collaboration
– Use Collaborative Planning
Define and manage promotionsCompute and display promotional volume lifts
– Unlimited concurrent promotions at different operating levels –consumer, multiple trade, and media
– Promotional attribute merge techniques for concurrent discounts
Assign actual sales to either baseline or lift:– Fixed baseline– Allocation based on baseline/lift proportion
Promotional calendarization (normalizing to standard calendar periods)Gantt chart display for promotions and other eventsImpact analysis of events
Promotion modelingAdvanced Forecasting and Demand Modeling
Cross-correlative analysis to address tough business questions*
– How does the sale of one product impact other products?– How does a brand marketing program impact a specific SKU?
Bayesian Markov Envelope**– Allows extended handling of large scale causal regression
models by doing multiple comparative hypotheses (subsets of causal factors) combined with Bayesian averaging
Nodal tuning– Ability to fine tune engine parameters for a sub-set of data
Estimation of NPI shape and automated adjustments as the new history comes in*
Advanced statistical modelingAdvanced Forecasting and Demand Modeling
* Requires configuration and statistical expertise** This is an inherent statistical functionality and does not require any setup or configuration
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Demand Management vs. Advanced Forecasting and Demand Modeling
Past Future Past Future
DM AFDM
Basic causal forecastingShows the cumulative impact of multiple factors that impact demand
Adds advanced statistical analysisBreaks down the impact in to baseline (including trend, season, and causals), direct lift, indirect lift (cannibalization and halo), pre-effect (event anticipation), and post-effect (pantry loading)
Demand Management vs. Advanced Forecasting and Demand Modeling
Functionality DM AFDMCausal Forecasting Limited (15 pre-configured
and 5 open causal factors)9 forecasting models within Bayesian framework
Shape modeling –statistical estimation of product launch rates (shape) based on prior learning
No Supported
Unlimited causal factors
Forecasting models 6 advanced logistic and ridge regression type models normally used with large number of causal factors
Demand Management vs. Advanced Forecasting and Demand Modeling
Forecasting Models Available inAuto and Linear Regression (ARX) DM
DM
Multiplicative Monte Carlo Regression (CMREG) DM
Combined Transformation Model (ELOG) DM
Transformation Model (LOG) DM
Dual Multiplicative Linear Regression (DMULT) AFDM
Multiplicative Monte Carlo Regression for Intermittent (ICMREGR) AFDM
Logistic (LOGISTIC) AFDM
Modified Ridge Regression (MRIDGE) AFDM
Regression (REGR) DM
Integrated Auto and Linear Regression (ARIX) AFDM
Auto Regressive Logistic (ARLOGISTIC) AFDM
Croston for Intermittent (FCROST) DM
Holt (HOLT) DM
Regression for Intermittent (IREGR) DM
Integrated Causal Exponential Model (BWINT)
Over 20 function-specific worksheets to analyze and build consensus*
– Marketing- analyze market share, trends, instruments and adjust target market plan
– Sales- analyze accounts by brand and compare to customer forecast and adjust sales plan
– Finance- analyze costs and profits by line of business and adjust finance plan
– Operations- analyze supplier performance by product line and adjust supply plan
– S&OP review of demand, supply, and inventory plan– Monitor consumption and respond to deviations
Pre-configured series and calculations required for above worksheets
Real-Time Sales and Operations PlanningBest-practices, pre-configured worksheets
* Pre-configured series, calculations, and worksheets are based on demo data and are for guidance only. These need to bereconfigured (or create new) to map to customer’s specific business process.
Fpos/Fsum functions to– Configure supply side series, calculations, and parameters
Example: On hand and projected inventory, Past due and projectedbacklog, Production plan
– Launch workflow based automation and management approval process
Demantra Anywhere html view to easily provide input to the consensus processDynamic Open Link to Excel and other BI tools to easily create reportsCalculate statistical (Kσ) safety stock
– Not a substitute for Inventory Optimization which calculates multi-echelon optimal safety stock based on advanced concepts of postponement, risk pooling, and demand/supply/manufacturing/fulfillment variabilities
Real-Time Sales and Operations PlanningEmbedded functionality to flexibly model and manage S&OP process
Demand-driven replenishment planning*– Model simple inventory and replenishment parameters such as days of
supply, fixed quantity, and lead times– Model min-max and reorder point replenishments constrained by the
storage space to the store fixture level– Suitable for
Taking better replenishment decisions based on better understanding of demand (not the mechanics of placing replenishment orders)Direct retail replenishments of large number of SKU-locations for Media and Entertainment and Consumer Goods companies
– Not suitable forIntegrated VMI (ASN, firm/release orders etc.)- use Collaborative PlanningLoad consolidation, inventory rebalancing, and complex distribution networks- use ASCP (Distribution Planning, R12)
What it can be configured to doReal-Time Sales and Operations Planning
* Several pre-configured series and calculations and 3 worksheets based on demo data are provided for guidance. No out-of-box support for execution of replenishment orders. Requires consulting effort to map to ‘planning’ item attributes in EBS and to execute orders.
Generate a baseline forecast based on historical sales data (syndicated consumption, shipment, retailer POS, or mix)Predict lift and incremental volume for planned promotions based on historical promotional activityCalculate Manufacturer and Retailer Profitability as well as KeyPerformance Indicators (ROI, Cost Per Incremental Unit, % Spend,etc.)Perform “What If” simulations to identify the volume and profitability impact of various promotional tactics and price pointsScenario Planning to compare various versions of an individual promotion or an entire promotion plan Track volume and trade budgets and have immediate visibility to how planned promotions impact themDecompose incremental volume to identify cannibalization, pantryloading (pre/post effect), competitive brand switching, halo effect, and brand growth
Next generation trade promotions management solutionPredictive Trade Planning
Out-of-box worksheets– Volume tracking comparing last years sales, this year plans,
and shipments– Analytical evaluation of historical promotions– Comparison of multiple promotions– YTD actuals vs. planned by territories– Sales vs. Quota– Worksheets from both manufacturer’s and retailer's perspective
Promotion effect Evaluate planned promotions against actualsDetailed Lift decomposition
– Quota & Fund Entry; top-down as well as bottom-up– Fund Balances
Supports tables, graphs & charts configurable by user
Predictive Trade PlanningEnables best-practice trade promotion planning
Workflow driven exceptionsRole-based configurationSupports internal and external collaboration
– Secured access for brokersUpdate worksheets offline
– Automated re-synchronization– User approved conflict resolution – Any data can be extracted for offline review and update
Online notes and audit trailSpreadsheet-like capability with enterprise database access & securitySimultaneous update and visibility of multiple worksheetsIntegrated to excel
Collaborative trade promotion planning processPredictive Trade Planning
Multiple fund types and budgets supportedEstablish accrual rates based on annual forecasts Continuous updates based on account planning activitiesRemaining balances projected based on forecasted promotion eventsEnter funds and rates by territoryTop-down fund management
– Establish yearly quota and fund budget by retailer
– Determine base and incremental volume plans
Bottom-up fund allocation– By territory, retailer, brand, promotion group
Funds managementPredictive Trade Planning
YTD sales and quota balancesEvent profitabilityYTD revenue and profitabilityFund balances
– Budgeted– Actual– Projected
Cost benefit review for promotions by account All accounts aggregated according to sales hierarchy for continuous visibilityExport deal data to pre-formatted deal sheets in Excel
Account planningPredictive Trade Planning
Create promotions instantly– Hierarchical promotion groups– Gantt-style marketing calendar– Copy existing promotions – Aggregate promotions costs and benefits
What - if scenario planning– Sandbox to test different events– Unlimited promotion vehicle types– Base & incremental lift projections– Optional optimization to automate event selection– Visibility to approved and past promotions– Work flow driven approvals
Cost benefits projections– Projected event spend– Projected budget balances– Manufacturer & Retailer profitability
Total and incremental– Percentage allocations from multiple fund budgets
Event and volume planningPredictive Trade Planning
Predictive Trade Planning vs. Demand Management
Requirement PTP DM
Promotions definition and management Yes No YesBaseline and volume lift calculation Yes No YesAdvanced statistical modeling(Halo, Cannibalization, cross-effects, etc.)
Yes No Yes
Promotion what-if scenario planning and Gantt chart display
Yes No Yes
Promotional effectiveness (ROI, % spend, cost per incremental unit, etc.)
Yes No No
Account planning Yes No NoPromotional budget and funds planning Yes No No
NoOut-of-box trade promotion management worksheets and processes
Yes No
DM + AFDM
Predictive Trade Planning vs. Demand Management
Requirement PTP DM
New product introduction No Yes Yes
Demand forecast accuracy No Yes Yes
Integrated demand management model, data collections, and worksheets
No Yes Yes
Multi-dimensional analysis Yes Yes YesCollaborative planning framework Yes Yes Yes
DM + AFDM
• Supports claims, deductions, and off-invoice settlements with customers (usually retailers) who have run your promotions and now need to reconcile payments
• Enables collaborative, best-practice, standardized process to resolve deductions
– Centralized financial service reps and key account managers in the field to research and clear deductions
– Account managers, marketing managers, and brand managers work with the same set of numbers making it much easier to settle accounts
– Simpler, and inexpensive footprint
– Integrated to trade promotion planning and optimization
• Enables deductions to be cleared via trade fund payments or charge backs
Reduce administrative costs and days outstanding of deductionsDeduction and Settlement Management
Standard reports to provide comprehensive status of deductions clearing process
– Settlement Days Outstanding – Days Outstanding by Account and Settlement Type– Settlement Detail: Days Outstanding
Ad-hoc reports for different business needs– Detailed reports for Customer Support administrators– High level metrics for Customer Support managers
List of settlements against each event– Associate both notes and documents with a settlement
Examples: Customer Contract, Scanned Check Remittance, Customer Invoice, Proof of Performance, etc
Audit trail of all actions/data changes
Displays key information Deduction and Settlement Management
Automated matching of deductions to promotionsAssign ownership (who is resolving deduction)Manual matching of deductions to promotions
– Easy drill-down from summary level to settlement details– Drill-down to select promotion– Smart filter proposes match based on ship date and available budget
Update and clear deductions– Link settlement to promotion– Mark as duplicate– Split across multiple promotions– Deny claim
Process payments– Track all check requests against an event– Send checks to direct customer or indirect customer or broker
Enables best-practice settlement processDeduction and Settlement Management
Evaluate impact of varying promotional tactics and price points
– User-defined boundaries for allowable promotions – Save account manager time over manual what-if analysis
Optimize promotions based on– Goals such as maximize profit or revenue or volume– Constraints such as maximum budget, minimum retailer margin
Compare metrics before and after optimization– Recommended promotion type– Expected promotion lift– Expected fixed and variable costs– Promotion ROI– Manufacturer & Retailer profitability
Automate promotion selectionTrade Promotion Optimization
Q U E S T I O N SA N S W E R S
Sheet3
Oracle Demantra Product | EBS | JDE Enterprise1 | Siebel | Peoplesoft Enterprise |
Demand Management | R11i10, R12 | R8.12, R8.11SP1, R9.0 | - | TBD |
Advanced Forecasting and Demand Modeling | TBD | R8.12 (Other versions TBD) | - | - |
Real-time Sales and Operations Planning | R12 (Other versions TBD) | TBD | - | - |
Predictive Trade Planning | TBD | R8.12 (Other versions TBD) | R7.8 (Other versions TBD) | - |
Deduction and Settlement Management | - | R8.12 (Other versions TBD) | - | - |
Trade Promotion Optimization | TBD | R8.12 (Other versions TBD) | R7.8 (Other versions TBD) | - |