Please do the PPT formatting for the attached file.
Make 3& 4 slides as one page and kindly remove all the logos in the PPT Except the blue Logo.
Pls let me know if you have any questions.
Efficient DI Solution to Solve APS Integration Complexity
Benefits
Avoid ‘Black Box’ type of approach to APS Data Integration.
Provide Complete Visibility to the Data Owners at Every Step of the Data Transformation Journey
Provide UI to Capture Planning MDM, Notification/ Alerts to Data Owners on Data Gaps
9/4/2023
2023 Lima Corp. All Rights Reserved.
1
Incoming_SCM
SAP
Agile
e2Open
Part Mstr.
BOMs
Comp. Agile
OnHand
Locations
Backlog
Inventory
WIP
HUB_SCM
User Action
MDM_SCM
Referential
BOM Master
BOM Site Detail
LeadTimes
Site Category
Intersite Trans.
Part Mstr
Site Master
Sourcing Rules
Kinaxis_RR
RR_Imports
RR_Exports
Site
Part
PlannedOrders
Supplier
Source
PartSource
DemandPegging
OrderScheduling
CSD (AvailableDt)
Workflows
DTC
DataUpdate
Kinaxis
DCA Exports
DI Accelerator for Kinaxis RR (APS)
Alerts,
Notifications
SAP
DWH
e2Open
Oracle
Snowflake
Company Confidential
Sticker
Capgemini Invent v10.0
Source: Source Text
9/4/2023
2
Data Integration Accelerator: Under the Hood
2023 Lima Corp. All Rights Reserved.
Staging – Incoming Data
Validate
Checks, Alerts
Notifications
SRC1 Validate/Map/Stage
SRC2 Validate/Map/Stage
SRC3 Validate/Map/Stage
SRC4 Validate/Map/Stage
Master Data/ Rules/ Params
Reconciled MDM Staging
Kinaxis Input
Data Error Logs
Data Enrichment
Prepare Data in RR Model Format
Data Transformation
Automation, E2E Scheduling
RR Exports
Kinaxis
IT, Data Owners, Process Owners
IT, Data Owners, Process Owners
IT, Data Owners, Process Owners
Collaborative Agile Data Processing & Management
Solution Provides Instant Visibility to IT/Data/Process Owners from Data Pull to Transformation to APS Format Preparation
Key features include MDM Functionality to Capture Master Data, 40+ Connectors to Pull Data and Transformation Framework to Transform Data, Alerts to Data Owners to fix issues instantly
Decouples Source Systems enabling easier Modifications.
Company Confidential
Sticker
Capgemini Invent v10.0
Source: Source Text
Data Load in Rapid Response
A set of tables in RapidResponse will be populated based on algorithms deployed requirements
Start with base data that will be imported (e.g. Sites, base calendars)
Will include a discussion about site model
Continue with master data (e.g. Parts, Bills of Materials, Part Sources, etc.)
Will include customers, suppliers, planner codes, some optional data like ABC codes
Finish with transactional data (e.g. Independent demand, Scheduled Receipts, On hand)
Sticker
Capgemini Invent v10.0
Source: Source Text
3
Validation Approach
Several steps will be worked to verify RapidResponse will provide data that fits the needs of GM. This will include data verification and validation to ensure that the standard RapidResponse analytic can successfully plan in the end-to-end network.
The following outlines the validation approach for this project:
Data Verification – Kinaxis will perform a manual data validation process that includes checking data integrity and quality.
Data Integrity – When data is provided, data integrity will be the first check. Examples of this include number of records, data that respects key structure, referential integrity, data types, etc. Issues will be reported for correction. Issues will be logged in the tracking form.
Data Sampling – A look across a sample of records to ensure the data provided to RapidResponse is in the correct fields with the correct values.
Sticker
Capgemini Invent v10.0
Source: Source Text
© 2017 Kinaxis. All rights reserved. Not for copy or distribution.
4
Preparing custom training