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Retail Sales Reporting with Dynamic
                                      Calculations using SAP HANA




                     https://cw.sdn.sap.com/cw/ideas/7447


Copyright © 2012 NTT DATA, Inc.
Contents

1        Customer Background

2        Customer Use Case

3        Customer Issues & HANA advantage

4        Our Unique Approach…HANA

5        Comparison of Performance: Current System vs. HANA




    Copyright © 2012 NTT DATA, Inc.                           2
Customer Background & Business Requirement

Customer is a retail major and a distributor for a whole range of FMCG
products and electronic consumer durables, operating the hypermarket
model in major cities.

Business requirement:

A solution that supports sales and marketing to get detailed information
about their sales revenue with various dimensions as
region, category, customer, channel across multiple time periods for
comparisons.
Business Challenge:

Analyze huge volume of sales data for strategic decision making
Lots of manual effort to generate the reports
Achieve reporting based on dynamically changing data


Solution:

SAP HANA. Solution with SAP HANA can meet the performance
expectations with exponentially growing data volume and calculations at
run-time




    Copyright © 2012 NTT DATA, Inc.                                        3
Customer issues and HANA advantage

                          Business                Current Report           Temporary             HANA
                          Scenario                Behavior                 Solution              Advantage /
                                                                                                 Experience
    1                     The data to be          Not generated –run       Customer has to run   The report executed
Data across               analyzed across         time error is thrown     the same report       instantaneously in
 multiple                 multiple time periods   out.                     multiple times, for   HANA with query
  periods                                                                  various periods &     spanning across
                                                                           consolidate           multiple years of
                                                                                                 data and generated
                                                                                                 no errors.
    2
                          Transactional data of   Output in 15/20          The performance       Output in few
 Execution                over two million        minutes for a time       could not be          seconds for over 3
Performance               records .               period of 3 months       optimized, so Users   million transaction
                                                                           have to wait.         records

                          Customer has a          Due to article price     Restricted records    Data fetched in split
    3                     unique scenario         and UOM                  for analysis          seconds, with
                          wherein the article     conversion the time                            calculations
 Business                 unit of measure for     taken to fetch data is                         performed at run-
 Dynamics                 reporting purposes      enormous. A virtual                            time enabling the
                          changes frequently.     provider is used to                            exact functionality.
                          The selling price is    fetch data.
                          also dynamic.


        Copyright © 2012 NTT DATA, Inc.                                                                                  4
Our Unique Approach.....HANA

                                                                                      Info Space in BO
                                                                                           Explorer
1.Attribute views created for each of
the dimensions                                                                            Output

2.Analytical view follows the star
schema principle to connect master
data tables and transaction tables                                       Calculation                      Calculation
                                                                        View (To call                      View (To
                                                                             the                           calculate
3.Reporting unit of measure and                                          procedure)                         Price)
dynamic price calculation using SQL
in calculation view, combining
transactional data, price table and                                  Procedure (Projection                              Article Price
UOM table.                                                             of analytic view)                                    Table


4.Projection used within a procedure
to restrict the fields of analytical view.   Sales org   Attribute                            Attribute                   Unit of
                                              Master       View                                 View                     measure
                                                                                                                         master
5.Procedure and multiple calculation
                                                                          Analytical
views are used to implement complex
                                                                            View
revenue calculations.
                                                         Attribute                            Attribute
6.Created a project in SAP code                            View                                 View
exchange and used SAP stream work             Material
                                                                                                                        Customer
                                                                                                                         Master
for collaboration within Innojam team.        Master
                                                                            Billing
                                                                            Table
       Copyright © 2012 NTT DATA, Inc.                                                                                                  5
Analytical View




Copyright © 2012 NTT DATA, Inc.   6
Calculation View




Copyright © 2012 NTT DATA, Inc.   7
Result Output




Copyright © 2012 NTT DATA, Inc.   8
Comparison of Performance in BW Vs HANA




Copyright © 2012 NTT DATA, Inc.            9
Copyright © 2012 NTT DATA, Inc.   This document contains confidential Company information. Do not disclose it to third parties without permission from the Company.

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Sap hana retail sales reporting innojam21 final

  • 1. Retail Sales Reporting with Dynamic Calculations using SAP HANA https://cw.sdn.sap.com/cw/ideas/7447 Copyright © 2012 NTT DATA, Inc.
  • 2. Contents 1 Customer Background 2 Customer Use Case 3 Customer Issues & HANA advantage 4 Our Unique Approach…HANA 5 Comparison of Performance: Current System vs. HANA Copyright © 2012 NTT DATA, Inc. 2
  • 3. Customer Background & Business Requirement Customer is a retail major and a distributor for a whole range of FMCG products and electronic consumer durables, operating the hypermarket model in major cities. Business requirement: A solution that supports sales and marketing to get detailed information about their sales revenue with various dimensions as region, category, customer, channel across multiple time periods for comparisons. Business Challenge: Analyze huge volume of sales data for strategic decision making Lots of manual effort to generate the reports Achieve reporting based on dynamically changing data Solution: SAP HANA. Solution with SAP HANA can meet the performance expectations with exponentially growing data volume and calculations at run-time Copyright © 2012 NTT DATA, Inc. 3
  • 4. Customer issues and HANA advantage Business Current Report Temporary HANA Scenario Behavior Solution Advantage / Experience 1 The data to be Not generated –run Customer has to run The report executed Data across analyzed across time error is thrown the same report instantaneously in multiple multiple time periods out. multiple times, for HANA with query periods various periods & spanning across consolidate multiple years of data and generated no errors. 2 Transactional data of Output in 15/20 The performance Output in few Execution over two million minutes for a time could not be seconds for over 3 Performance records . period of 3 months optimized, so Users million transaction have to wait. records Customer has a Due to article price Restricted records Data fetched in split 3 unique scenario and UOM for analysis seconds, with wherein the article conversion the time calculations Business unit of measure for taken to fetch data is performed at run- Dynamics reporting purposes enormous. A virtual time enabling the changes frequently. provider is used to exact functionality. The selling price is fetch data. also dynamic. Copyright © 2012 NTT DATA, Inc. 4
  • 5. Our Unique Approach.....HANA Info Space in BO Explorer 1.Attribute views created for each of the dimensions Output 2.Analytical view follows the star schema principle to connect master data tables and transaction tables Calculation Calculation View (To call View (To the calculate 3.Reporting unit of measure and procedure) Price) dynamic price calculation using SQL in calculation view, combining transactional data, price table and Procedure (Projection Article Price UOM table. of analytic view) Table 4.Projection used within a procedure to restrict the fields of analytical view. Sales org Attribute Attribute Unit of Master View View measure master 5.Procedure and multiple calculation Analytical views are used to implement complex View revenue calculations. Attribute Attribute 6.Created a project in SAP code View View exchange and used SAP stream work Material Customer Master for collaboration within Innojam team. Master Billing Table Copyright © 2012 NTT DATA, Inc. 5
  • 6. Analytical View Copyright © 2012 NTT DATA, Inc. 6
  • 7. Calculation View Copyright © 2012 NTT DATA, Inc. 7
  • 8. Result Output Copyright © 2012 NTT DATA, Inc. 8
  • 9. Comparison of Performance in BW Vs HANA Copyright © 2012 NTT DATA, Inc. 9
  • 10. Copyright © 2012 NTT DATA, Inc. This document contains confidential Company information. Do not disclose it to third parties without permission from the Company.

Notes de l'éditeur

  1. Our client is a retail major operating the hyper market model in major cities .As a retailer & distributor of FMCG products and electronic durables the client has a requirement to view the sales report with various dimensions. The complexity gets multi fold with change in article reporting unit of measure and price . This requires on the fly calculation to be achieved on the day the report is executed.The current reporting system is SAP BW. Though some of the dynamics were achieved, the performance deteriorated and report took more than 15minutes to execute for a period of 3 months of data.Our solution....SAP HANA ...