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CAR updated Jan 2014

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patrick muyal

on 21 August 2015

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Transcript of CAR updated Jan 2014

... is
EXPLODING
VOLUME
Siloed
systems
Cross-Channel
BIG
Data Challenges

Must Offer:
Real-time high-performing multichannel data foundation
THE
SOLUTION:
CAR
CUSTOMER
ACTIVITY
REPOSITORY
On the go...
... in stores
...or on the go
RETAIL DATA...
On the go...
From the
comfort of their homes...
...in stores


Receive, audit, enrich, aggregate & Distribute POS TLOG granular data
The CAR
PARTS
CAR
chitecture

SAP POS DM is a consistent centralized in-memory database that stores massive volumes of sales data (e.g. POS data) as well as internal data (e.g. master data) as the basis for core Retail Store business processing and improved shopper insight.
Customer Activity Repository
(CAR) will be a foundation that collects data that was previously spread over multiple siloed applications in diverse formats. CAR is the embodiment of the future retail strategy where Retail business solutions can take root in a common foundation with a harmonized data model.
*
*
The
NEED:
Retailers must know shopper behavior in real-time across
channels
. A
customer insight
and demand data
foundation
whose differentiator is seamless on-top
analytical
and operational execution is key .
Multich
a
nnel

Mobile
Loyalty
Legal Disclaimer
The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP. This presentation is not subject to your license agreement or any other service or subscription agreement with SAP. SAP has no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation and SAP's strategy and possible future developments, products and/or platforms directions and functionality are all subject to change and may be changed by SAP at any time for any reason without notice. The information on this document is not a commitment, promise or legal obligation to deliver any material, code or functionality. This document is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. This document is for informational purposes and may not be incorporated into a contract.
SAP assumes no responsibility for errors or omissions in this document, and shall have no liability for damages of any kind including without limitation direct, special, indirect, or consequential damages that may result from the use of this document. This limitation shall not apply in cases of intent or gross negligence.
All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions.
Shoppers have channels to choose from..
The ISSUE?
VISI
Goods Movements
Inventory
POS
Mobile

Dashboards


Custom Solutions
Partner Solutions
Loss Prevention Analytics
Markdown Optimization
Replenishment
Demand Planning
Supplier Collaboration
OnShelf Availability
Precision Retailing
Web Channel
Click Stream
Locations
Assortment
Merchandise
Multi-Channel Sales
Promotions
Customer
Social Media
Demographics
Market Research
Promotion Planning (PMR)
Merchandise Planning
CRM Loyalty Customer Segmentation
Price Optimization
Assortment Planning
Multiple Channels
HANA


Customer Activity Repository
Forecast Foundation
Analytics Foundation






I
SAP POS DM 1.0 is not a new solution, it simply has been detached from BW content and is now a product in SAP sense – this explains the numbering 1.0
SAP POS DM 1.0 can be deployed on BW with relational data base as well
as on SAP Hana
Hana
does not accelerate the transactional steps
within POS DM but offers new ways for real-time analytics directly on its hana-optimized table
POSDM 1.0 Optimized For Hana
For deployment on Hana, the main data base table TLOG has been
optimized for Hana
(TLOGF)
RTC July 30 2012
Innovative applications such as
On-Shelf-Availability
use TLOGF to anticipate and alert on stock outs
Fast
Access to MASSIVE* amounts of data
CAR
Drives Business Value
Anticipate demand to optimize processes and decisions
Transform from silos to ONE consistent “Source of Truth”
Visualize, discover, and share hidden insights in real time
Reduce TCO by eliminating data redundancies
Increase customer loyalty and satisfaction across all channels
Maximize revenues by increased shopper experience
TLOGs per day (12 line items / TLOG)
4 MILLION
5

MILLION
200 MILLION
Product / Location Combinations
stores
skus
7000
BEFORE CAR...
...WITH CAR
SAP CRM
SAP Merchandising for Retail
SAP Multichannel Order Management for Retail
SAP NetWeaver
SAP Point-of-Sale Loss Prevention for Retail
SAP POS Data Management for Retail
SAP POS for Retail
SAP Sales and Service Order Processing
SAP Sales for Retail
SAP Target Marketing for Retail
SAP Web Channel Enablement for Retail
SAP Workforce Management for Retail
SAP Enterprise POS Base for Retail
SAP Interaction Center
SAP Forecast and Replenishment for Retail (store interface)
Crystal Reports 2008 SAP BusinessObjects Explorer
SAP Application Business Expert User SAP BusinessObjects Dashboard Designer
SAP Application Business Information User SAP Netweaver BW Accelerator
SAP Application Business User SAP NetWeaver Enterprise Search
SAP BusinessObjects Data insight
SAP BusinessObjects Desktop Intelligence
SAP BusinessObjects Edge BI
SAP BusinessObjects Knowledge Accelerator
SAP BusinessObjects Profitability & Cost Management
SAP BusinessObjects Voyager
SAP BusinessObjects Web Intelligence
SAP BusinessObjects BI Package
SAP BusinessObjects Business Intelligence Package
SAP BusinessObjects Enterprise Professional
SAP Master Data Management
SAP POS Loss Prevention for Retail
SAP Purchase Order Processing
SAP Merchandising for Retail
SAP BusinessObjects Planning & Consolidation
SAP BusinessObjects Profitability & Cost Management
SAP BusinessObjects Strategy Management
SAP BusinessObjects Access Control
SAP BusinessObjects Business Intelligence Package SAP BusinessObjects Global Trade Services
SAP BusinessObjects Process Control
SAP BusinessObjects Risk Management
SAP BusinessObjects Sustainability Performance Management
SAP Enterprise Learning Solution
SAP Environment, Health & Safety Management
SAP E-Recruiting SAP Payroll Processing
SAP Financial Closing Cockpit SAP NetWeaver Identity Management
SAP Financial Supply Chain Management SAP Real Estate Management
SAP GRC Access Control Package SAP Recycling Administration
SAP GRC Global Trade Services SAP Resource & Portfolio Management
SAP GRC Process Control SAP Talent Visualization by Nakisa
SAP Learning Solution SAP Treasury & Risk Management
SAP Master Data Governance for Financials SAP Merchandising for Retail (ERP)
SAP BusinessObjects Analytical Information Management
Master Data Governance for Financials from SAP
SAP Resource and Portfolio Management (RPM)
SAP NetWeaver Foundation for third party applications
SAP Business Communication Management
SAP Business Objects Data Federator
SAP User Experience Management
SAP NetWeaver OpenHub SAP Document Access by OpenText
SAP Netweaver Process Integration SAP Enterprise Learning Solutions
SAP NetWeaver Master Data Management SAP Interactive Forms by Adobe
SAP Test Data Migration Server SAP IT Service Mgmt.
SAP Load Runner by HP SAP Netweaver Business Process Management
SAP Productivity Pak by RWD SAP NetWeaver Business Rules Management
SAP Quality Center by HP SAP NetWeaver Business Warehouse Accelerator
SAP Archiving by OpenText SAP Test Acceleration and Optimization (TAO)
Alloy SAP NetWeaver Information Lifecycle Management
Duet SAP Solution Manager Adapter for SAP Quality Center by HP
SAP Auto ID Infrastructure SAP Business Objects Global Trade Services
SAP Customer Collaboration (SRM) SAP Event Manager
SAP Extended Sourcing (SRM) SAP Extended Procurement (SRM)
SAP Manufacturing Execution SAP Extended Warehousing & Logistics for Retail
SAP Merchandising for Retail SAP Transportation (Operations) for Retail
SAP Purchase Order Processing SAP Extended Manufacturing for Retail
AP Invoice Management by OpenText
SAP Business Objects Spend Performance Management
SAP Business Objects Supply Chain Performance Management
SAP Demand and Supply Planning for Retail
SAP Forecast and Replenishment for Retail
SAP Manufacturing Integration and Intelligence (MII)
SAP Netweaver Business Process Management
SAP Outsourced Manufacturing for Retail
SAP Service Parts Planning for Retail
SAP Supplier Collaboration (SRM)
SAP Business Planning and Consolidation
SAP Markdown Optimization for Retail
SAP Merchandise and Assortment Planning
SAP Merchandising for Retail
SAP Price Optimization for Retail
SAP Promotion Management for Retail
Retail Portfolio Price List Items
POS Sales
Customer Activity Repository
DDF / UDF
POS Analysis
Affinity Analysis
MC Sales Analysis
Inventory Visibility
VDM
SAP HANA
Sales Frequency Analysis
(OSA Algorithm)
Promotion
Planner
Store
Manager/
Employee
Category
Manager
Inventory / Replenishment
Planner
Marketing
Planner
RFC
SLT
On Shelf Availability
Audience Discov / Target.
(Optional)
(Optional)
Multichannel Sales
Inventory
ERP
POS
INBOUND
PROCESSING
ENGINE
Optional SAP BW
Master Data
TLOG
DDF MD
Sales Orders
Inventory

HANA
Real time,
fast
access to BIG DATA

Model & Forecast consumer demand @ the product/location/order channel/sales org/dist channel level
...on
granular,
un-aggregated item level transaction detail...
HARMONIZED FORECASTING
MULTICHANNEL EXTENSIONS
Time
Real
3 Key Take-Aways:
SAP HANA allows CAR to respond to
analytical
requests on huge amounts of Multichannel data in real-time
CAR
stores detailed, granular data, allowing the embedded science layer, driven by
demand prediction
, to
execute advanced statistical algorithms
.
This will serve demand planning, promotions management, and pricing optimization.
2->
3
A
360
view of the customer
Real-time sales and forecasting
ANALYTICS,
with
PREDICTIVE
and operational capabilities, as well as
REAL TIME INVENTORY
visibility.
Thanks to those who continue to work hard on this project!
Retail development teams in:

MONTREAL
SCOTTSDALE
WALDORF / ST INGBERT
TAGERWILEN

/ BRATISLAVA
...
THANK YOU
BILITY
TERABYTES
OF GRANULAR
DATA
POS DATA TRANSFER & AUDIT
DATA
PMR
UDF VIS.
Web
Store
Catalogue
Enterpise Data Stored by Retailers
Source: EKN- State Of The Industry Research Series:Big Data in Retail - 2012
500TB-999TB 1%
CAR 3.0 -2015
Consuming Apps
PMR
Audience Discovery & Targeting
CRM Webchannel & Interaction Center
Assortment Planning
Demand Planning
Replenishment Planning V1.0
Allocation Planning/Execution V1.0
Price Optimization X?
Markdown Optimization X?
CAR 1.0 - 2013
Features
Multichannel sales analytics
Real time inventory
Unified Demand forecast (UDF)
Data cleansing, auditing, & enrichment
Eliminate POS data Replication
Consuming Apps
PMR 8.0
Audience Discovery & Targeting
CRM Webchannel & Interaction Center
CAR 2.0 -2014
Features
Cross company stock in transit
Replicate goods movements from ERP to CAR in order to report e.g. damages or other KPIs
Returns Authorization (real-time status to avoid double returns)
Extend ATP to access CAR for store availability
Extend TLOGF by additional fields requested from 3rd party POS systems
CAR co-deployment with SAP ERP on same db
Consuming Apps
PMR
Audience Discovery & Targeting
CRM Webchannel & Interaction Center
Assortment Planning
Demand Planning
CAR
ROADMAP
CAR
does away with replication of POS data
to multiple systems
, acting as the
nucleus
of SAP and non SAP retail applications for real time omnichannel analysis.
1
- 3rd party acquisitions
Khimetrics and SAF, each one of these applications came with a slightly different architecture and a little bit of extra complexity. This, in the end resulted in a complex retail landscape with a set of siloed applications that are hard to integrate with each other, and most important they need to replicate the same set of data multiple times.

• So, with CAR, not only do we want to build new functionality and new business scenarios, but at the same time we also aim to simply the life of our customers by reducing some of the landscape complexity and also reducing the number of data replication.

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