1. SAP HANA
AN INNOVATIVE
PLATFORM FOR
RETAIL USE CASES
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Prepared by: Venu
Cherupillil

2. AGENDA
 Forrester’s Study on IT savings by implementing
SAP HANA
 Sources of savings with SAP HANA
implementation
 Today’s Enterprise Architecture Challenges
 HANA Architecture & Features
 Data Acquisition
 Deployment Options
 Innovation Usage Models
 Data Consumption Approaches
 Retail Use Cases
 Questions & HANA Resources
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3. SAP HANA
AN INNOVATIVE PLATFORM FOR
RETAIL USE CASESForrester’s Study on
HANA Implementation
Savings
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4. FORRESTER’S STUDY ON IT SAVINGS BY IMPLEMENTING SAP HANA
 Forrester evolved a Total Economic Impact™ (TEI) framework
 Interviews and surveys with Teams from HANA implemented organizations
 Industry standard software maintenance and support cost
 Expenses on software licenses, HANA appliance and Professional services
 Net Present value of Projected saving
 A model Manufacturing Corporation located in US
 40,000 employees
 Heterogeneous IT landscape
 Database size
 • 40 TB SAP BW database system
 • 10 TB SAP ERP (SAP Business Suite)
 • 2 TB custom (homegrown) applications
 Implementation Phases for HANA
 BW on HANA in first year
 Start implementing ERP on HANA in second year in parallel to ERP on existing DB
 Migrated fully to ERP on HANA from third year onwards
 Projected Savings
 37% over next 10 years of IT maintenance and operational cost
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5. SOURCES OF SAVINGS WITH HANA IMPLEMENTATION
 Infrastructure Simplification - Savings 10-20%
 OLAP & OLTP in one system
 No need to create and maintain aggregates and Indices
 Reduced storage costs due to high compression ratio in the long run
 Simplified Database Administration
 Increased Productivity of Existing Processes - Savings 20-30%
 Faster Development Cycles (suitable for agile methodologies like SCRUM) for Requests &
Projects
 Faster Loading and reporting for Business Intelligence
 No data latency
 Faster Operations
 No or less batch processes
 Simulation capabilities for alternatives
 Innovative Business Processes – Savings 50-70%
 SAP Fiori Apps for Retail
 Customer Activity Repository
 SAP Planning for Retail
 SAP Sales Analysis for Retail
 SAP On-Shelf Availability
 SAP Accelerated Trade Promotion Planning
 SAP Fraud Management
 SAP CO-PA Accelerator
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6. SAP HANA
AN INNOVATIVE PLATFORM FOR
RETAIL USE CASESToday’s Enterprise
Architecture
Challenges
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7. TODAY’S CHALLENGES OF ENTERPRISE ARCHITECTURE … 1
 DATA ARCHITECTURE
 Volume
 Doubles in every 18 months (Gartner)
 In 2011, over 1.8 Exabyte (1,800,000 TB) of data were created
 By 2020, 35 Zetabyte (35,000,000,000 TB) will be created
 Velocity
 Today’s business need Real time data
 Shrinking Latency acceptability window
 Data Latency caused by ETL into Data Warehouses or Data Marts
 Granular level v/s Aggregate level
 Variety
 Structured Data
 Unstructured Data
 Social Media Data
 Machine generated Data
 Geospatial/Location Data
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8. TODAY’S CHALLENGES OF ENTERPRISE ARCHITECTURE … 2
 APPLICATION ARCHITECTURE
 Several Consumption Tools
 PC/Laptop
 Tablet
 Smart phone
 Phablet/Fablet
 Several Browsers
 Several Operating Systems and Versions
 TECHNOLGY ARCHITECTURE
 3-Tier Architecture for Vertical and Horizontal Scalability in
Application Server layer
 Inadequate Data Transfer speed between Disk Storage
and Application Servers
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9. TODAY’S CHALLENGES OF ENTERPRISE ARCHITECTURE … 3
 BUSINESS ARCHITECTURE
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10. SAP HANA
AN INNOVATIVE PLATFORM FOR
RETAIL USE CASES
HANA Architecture &
Features
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11. HIGH PERFORMANCE ANALYTICAL APPLIANCE (HANA) …1
 HANA – Acronym for High Performance ANalytical
Appliance first introduced in SAP TechEd Bangalore in Dec
2010
 HANA is a successor to
 APO Live Cache (2001)
 TREX (Text Retrieval and information EXtraction) Engine
used in Portal & BI in 2004
 Business Warehouse Accelerator (BWA) (2006)
 SAP HANA is a flexible, data-source-agnostic appliance that
allows users to analyze large volumes of ERP data in real-
time, avoiding the need to materialize transformations. It
makes use of multi-core parallel processing capabilities of
modern hardware architectures and is capable of querying
billions of records per second 11
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12. HIGH PERFORMANCE ANALYTICAL APPLIANCE (HANA) …2
 SAP HANA is a hardware and software combination that integrates a
number of SAP components
 SAP In-Memory Database
 Acid-compliant (Atomicity, Consistency, Isolation, Durability)
 Hybrid Data Store (Column & Row)
 Data stored at transactional level without any aggregates,
 No indices needed
 High Compression ratio
 HANA Studio – Tool for Modeling and Administration
 Data Replication Tools – (Initial & Delta Load, Real Time & Batch)
 SAP HANA is delivered as an optimized appliance in conjunction with
leading SAP hardware partners (IBM, CISCO, HP, Dell, Hitachi, Fujitsu,
Lenovo) using latest Intel Xeon E7 processors
 Operating System is Suse Linux Enterprise Server 11, 64 bit
 Current Version: HANA 1.0 SPS 8 (As of Oct 2014)
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13. SAP HANA – MUCH MORE THAN A DATABASE
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14. SAP HANA
AN INNOVATIVE PLATFORM FOR
RETAIL USE CASES
Data Acquisition
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15. SAP HANA DATA ACQUISITION
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16. SAP HANA
AN INNOVATIVE PLATFORM FOR
RETAIL USE CASES
Deployment Options
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17. HANA DEPLOYMENT OPTIONS
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18. SAP HANA A PLATFORM FOR
INNOVATION
Innovation Usage
Models
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19. SAP HANA A PLATFORM FOR
INNOVATION
Innovation Usage
Models
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20. INNOVATION USAGE MODELS
 Agile Data Mart – Fast and Flexible Data Marts
 SAP Business Suite Accelerator – Reporting from ERP with
HANA DB as a secondary database. Currently, Sales, Finance,
Shipping, Purchasing and Master Data Reports are available as
HANA-fied transactions .
 SAP Solutions for Accelerated Applications – SAP CO-PA
Accelerator, SAP Smart Meter Analytics, SAP Merchandising &
Assortment Planning
 SAP Business Warehouse Powered by SAP HANA – BW 7.3
onwards, option to use HANA DB, General Availability from April
2012
 SAP Business Suite Powered by HANA HANA– Single HANA DB
for OLAP and OLTP applications. General Availability from May
2013. 1200 customers as of October 2014.
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21. SAP HANA A PLATFORM FOR
INNOVATION
Data Consumption
Approaches
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22. HONEYWELL CASE STUDY – WITH HANA AGILE DATAMART
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 Honeywell ASUG presentation on Empowered Self-service BI with SAP HANA and SAP
Lumira
 They loaded data from various sources (SAP, Excel, Access, ETL tools) into HANA Agile
Data mart to generate monthly Profitability statement from 100+ hours into couple of hours
on same day.
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23. APPLICATION FUNCTION LIBRARY …2
 Predictive Analysis Library
 Classification – ABC Analysis
 Clustering – K-Means
 Association Analysis – Apriori & Apriori-lite
 Regression Analysis
 Business Function Library
 Internal Rate of Return
 Net Present Value
 Depreciation Models
 These Analysis generates Procedures and they can be
called with SQLScript internally within HANA or Externally
using ABAP Procedure Proxy or ABAP Managed
Database Procedure from an ABAP 740 system.
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24. SOCIAL MEDIA ANALYSIS WITH HANA & HADOOP
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25. SPATIAL DATA PROCESSING WITH HANA
 From SPS6, onwards, HANA supports spatial data types
and functions
 Points of Interest (ST_Point), Delivery Area (ST_Polygon)etc.
 This allows to store and process any spatially oriented
data (e.g. latitude/longitude, etc.)
 This allows users to view and visualize data revealing the
relationships, patterns, and trends in the form of map
 Example Applications:
 Transportation companies can track assets, analyze
maintenance status and real time communication of traffic
jams to their vehicles
 German Soccer Club (TSG Hoffenheim) uses Spatial Analysis
on SAP HANA to Optimize Training
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26. SAP HANA
AN INNOVATIVE PLATFORM FOR
RETAIL USE CASES
Retail Industry Use
Cases
- Limitation is our own imagination!
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27. RETAIL INDUSTRY USE CASES 1
 Store Operations
 100% Adoption of Fiori Apps for Retail with consumer grade interfaces on any
device, any OS, any browser: Customer support, Associate ordering, Inventory
lookup, Store Receipts, Adjustments, Physical Inventory/Cycle Counts, Store
Analytics, etc.
 Marketing:
 Capturing of sales at POS receipt level and customer level – The lowest level
of data granularity without any aggregates
 Association Analysis (Apriori algorithm to determine which products are sold
together
 Targeted Offers and Campaigns through segmentation of Stores and Customers
using Predictive Analysis (Clustering, Regression Analysis)
 Social Media Analytics such as Text Analysis & Sentiment Analysis etc.
 Smarter Dunning job runs for Accounts Receivables
 Real Estate:
 In site selection for new store openings, Retailers can look for hidden revenue
opportunities based on location with Spatial Data Analysis, integration with ESRI,
Google maps etc.
 Preventative & Predictive Maintenance of Technical Assets
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http://www.saphana.com/community/implement/use-cases

28. RETAIL INDUSTRY USE CASES 2
 Loss Prevention
 Early detection of insights into losses and implement preventive measures in
early phases
 Merchandising:
 Real time Analysis of Promotional Events to make adjustments on the fly
 Markdown Planning & Optimization
 Planning & Replenishment
 Resolve the biggest bottleneck in daily IT operations: Replenishment in minutes rather than hours
 Push One Time buys or seasonal products based on ABC classification at category level on real
time
 Integrated Planning powered by HANA at Company level, Store level, Category level , SKU &
Attribute level with budget linkages and actionable with order proposals
 Logistics
 Real time Tracking of deliveries
 Dynamic route adjustments based on real time spatial data such as Traffic
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29. RETAIL INDUSTRY USE CASES 3
 Business Intelligence– Strategic Reporting
 Business Warehouse powered by HANA
 Consumption of HANA models in BW and consumption of BW models in HANA
 Reporting real time from source system without replicating into BW as remote cubes
 Business Intelligence – Operational Reporting
 HANA Live
 Reporting directly from transactional tables using pre-delivered calculation views
 Tailoring capability of standard HANA Live views
 Agile BI
 Self Service Capability with Lumira Cloud
 Information Composer with local file data
 Real time reporting with Social Media data
 Various Departments:
 Real Time transactional visibility such as Inventory to Corporate staff, Stores and Customers.
 Adoption of Fiori Apps in all lines of Business Activities
 Expose any HANA data as Odata service is very easy
 With XS Engine capability, modern Business applications can be built natively with HANA data
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30. RETAIL INDUSTRY USE CASES 4
 IS Team
 Several Code optimization Tools like SQL Monitor, ABAP Test Cockpit,
SQL Performance Tuning Work list
 Advanced OpenSQL to push Data intensive calculations to the database
 SQL Script - Data, Functional and Procedural Extensions
 Web applications development with SAPUI5(Enhanced HTML5) and SAP
Web IDE
 Single Eclipse based Development Environment
 Scripting languages like JAVA Script, Python, Ruby, .Net
 RIVER (RDL - River Definition Language) – Newest language launched in
Dec 2013 describing data models, business methods, access controls,
automatic Odata services in a single coherent SQL like language
 PMO Team
 Agile Methodology can be adopted for proto typing and implementation
 Business Suite Functions can be activated as part of a sprint of an Agile
Project
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31. HANA RESOURCES
 HANA Resources
 Customer Success Stories:
http://www.saphana.com/community/learn/customer-stories/
 eBay's Early Signal Detection System runs Machine Learning & Predictive
Powered by SAP HANA: http://www.youtube.com/watch?v=hS-0ZadT6so
 German Soccer Club uses Spatial Analysis on SAP HANA to Optimize
Training http://www.youtube.com/watch?v=eEFaxJ6iaXE
 Transform Your Big Data into Big Value Retail Industry
http://global.sap.com/community/ebook/2013_08_27544/enUS/index.html#/p
age/1
 SAP Help Portal http://help.sap.com/hana_platform
 SAP HANA http://www.saphana.com/welcome
 HANA Academy http://www.saphana.com/community/hana-academy
 openSAP https://open.sap.com/
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