Customer SAP BW/4HANA. Salvador Gimeno 7 December SAP SE or an SAP affiliate company. All rights reserved. Customer

Transcription

1 SAP BW/4HANA Customer Salvador Gimeno 7 December SAP SE or an SAP affiliate company. All rights reserved. Customer 1

2 DISCLAIMER This presentation is not subject to your license agreement or any other agreement with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or to develop or release any functionality mentioned in this presentation. This presentation and SAP's strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. 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. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP intentionally or grossly negligent. 2

3 INTRODUCTION SALVADOR GIMENO Solution Advisor Expert Business Architect Center of Excellence Digital Enterprise Platform Group SAP 4

4 GAME CHANGING TRENDS TRANSFORMING YOUR ORGANIZATION 64% of Fast Growing Companies are Agile 1 Save 20% or more! $4 to $11T In new business BUSINESS AGILITY CLOUD NEW OPPORTUNITIES New ideas allow you to respond to changing business climate quickly you need data delivered in a way to make better decisions sooner The cost savings and flexibility of cloud deployments are becoming an essential component of organizations data warehousing strategy Big Data, new data types and sources (e.g. social media, Data Lakes), and Internet of Things 1: Evolve Your Business Intelligence To Systems Of Insight, Forrester White Paper, : 3: 5

5 MODERN CHALLENGES FOR MODERN DATAWAREHOUSE Data Different Locations cloud, data lakes Additional Types behavioral data, IoT (Structured and Unstructured) Higher Volumes > 40% growth YoY People Better Performance real-time results Greater Scope predictive, agile analytics Added Value new & unused data (> 85%) 6

6 SAP DELIVERS THE NEXT GENERATION DATA WAREHOUSE SAP BW 1.0 SAP BW Any DB SAP HANA SAP BW on HANA SAP BW/4HANA Initial Release for SAP Reporting Operational Reporting Data warehousing First in-memory Database High Performance Data Warehousing Strategic Planning Scenarios Next Generation Data Warehouse Built for Cloud Logical Data Warehouse Internet of Things Integrates with Data Lake

7 SAP BUSINESS WAREHOUSE - TODAY SAP BW Customers Vast majority use SAP BW as central EDW, harmonizing many source systems SAP BW 7.3 / 7.4 Customers Embedded into mission critical business processes Continuously growing SAP HANA adoption SAP BW on SAP HANA Customers Strategy to run simple with SAP BW Status: September

8 SAP BW/4HANA ENABLES THE NEXT GENERATION DATA WAREHOUSE REQUIREMENTS SAP S/4HANA SAP BW/4HANA Logical Data Warehouse Operational Reporting Historical Analysis Internet of Things SAP HANA PLATFORM [Streaming Analytics Advanced Analytics Smart Data Integration] Data Lakes 10

9 WHAT IS AN ENTERPRISE DATA WAREHOUSE? Big Data Hadoop Analytics Business Intelligence, Predictive, Planning Streaming Data Warehouse Single Point of Truth Virtual Access ETL ELT Data Sources SAP, non-sap, On premise, Cloud Feeding external systems Planning & Forecast Characteristics Consolidates data across the enterprise Standardized data model Supports decision making Main Tasks Define common semantics Harmonize data values Establish a single version of truth Provide a single, comprehensive source of current and historical information Keep copy of source data to ensure independency of source and support the unknown 11

10 SAP BW/4HANA DESIGN PRINCIPLES Simplicity Get up and running sooner and keep running at lower cost Reduce development efforts Openness Manage all kinds of data whether in SAP applications or SQL systems Access all models through an open SQL interface Modern Interface Simplify access for everyone, not just database experts New UI for all users High Performance Leverage huge amounts of data in real time for competitive advantage x faster query performance Simplified Data Structures Simplified Data Flows Data Lifecycle Management Native SQL access Simplified Data Integration Consolidated Source Systems New Business User UX New Modeler UX New Administrator UX In-Memory Data Warehousing Algorithm Pushdown Advanced Analytics 12

11 SIMPLICITY Simplified Data Structures Simplified Data Flows Data Lifecycle Management 13

12 SAP BW/4HANA SIMPLIFIED DATA STRUCTURES Classic SAP BW SAP BW/4HANA Number of Modelling object types reduced from 10 to 4 No complex data structures (extended star schema) Field or InfoObject based Modelling Virtualization MultiProvider InfoSet CompositeProvider Virtual Provider Transient Provider 1 2 CompositeProvider Open ODS View Greater control of data persistency and virtualization Support for external, structured and unstructured data Persistency InfoCube DataStore Object Hybrid Provider PSA Table InfoObject 3 4 Advanced DataStore Object InfoObject 14

13 top down Modelling bottom up Modelling top down Modelling SAP BW/4HANA SIMPLIFIED DATA FLOWS From Layered Scalable Architecture (LSA) (LSA) to LSA++ to LSA++ Classic SAP BW (LSA) SAP BW/4HANA (LSA++) Virtualization Data Marts Virtualization, Virtual Data Marts Data Marts mandatory layer Integrated DWH Raw DWH Staging mandatory layers Staging Raw DWH Integrated DWH optional layers depending on required business and service level Source Source Service Level 15

14 bottom up Modelling top down Modelling SAP BW/4HANA SIMPLIFIED DATA FLOWS Report at any layer of the Data Warehouse with speed and flexibility SAP BW/4HANA (LSA++) Virtual Data Marts Data Marts Integrated DWH Raw DWH Staging Source Service Level 16

15 bottom up Modelling top down Modelling SAP BW/4HANA SIMPLIFIED DATA FLOWS Report at any layer of the Data Warehouse with speed and flexibility Virtually combine data across layers SAP BW/4HANA (LSA++) Virtualization Data Marts Integrated DWH Raw DWH Staging Source Service Level 17

16 bottom up Modelling top down Modelling SAP BW/4HANA SIMPLIFIED DATA FLOWS Report at any layer of the Data Warehouse with speed and flexibility Virtually combine data across layers Business and service level driven SAP BW/4HANA (LSA++) Virtual Data Marts Raw DWH Data Marts Integrated DWH Staging Source Service Level 18

17 bottom up Modelling top down Modelling SAP BW/4HANA SIMPLIFIED DATA FLOWS Report at any layer of the Data Warehouse with speed and flexibility Virtually combine data across layers Business and service level driven Combining bottom-up and topdown modelling approaches allows for agile and flexible development SAP BW/4HANA (LSA++) Source Virtual Data Marts Staging Raw DWH Data Marts Integrated DWH Service Level 19

18 DATA LIFE CYCLE MANAGEMENT: ADVANCED MULTI-TEMPERATURE MANAGEMENT OPTION SAP HANA SAP HANA Dynamic Tiering SAP IQ NLS and ADK SAP HANA Vora HADOOP Hot Data Warm Data Cold or Frozen Data Candidate Data Modern in-memory platform Real-time transaction and analysis Native predictive, text, and spatial algorithms New: in-memory dynamic tiering option Disk-based, dynamic tiering option using smart columns High performance and efficient compression Excels at queries on structured data, from terabyte to petabyte scale No data duplication Data persistence optimized in system landscape through relocation of infrequently accessed data to SAP IQ Less frequently accessed data archived in time partitions NLS data resides in a highly compressed state in cost-efficient storage with fewer backups to reduce operational costs Acceleration with SAP HANA Vora SAP HANA smart data access capability for Hive- and Spark-type scenarios 22

19 OPENNESS Native SQL Access Simplified Data Integration Simplified Source Systems 23

20 SAP BW/4HANA NATIVE SQL ACCESS SAP BW/4HANA SAP HANA SAP BW/4HANA logic and data can be exposed to SAP HANA Query Composite Provider adso InfoObject Automatically Generated Automatically Generated Automatically Generated Automatically Generated Calculation View * Calculation View * Calculation View * Calculation View * Calculation View Calculation View HANA View / Table SQL access to front end tools Automatic generation of SAP HANA views allows: SQL logic on top of generated views Combined data from native SAP HANA SQL access for front-end tools * SAP BW/4HANA Generated HANA view Generated SAP HANA views are part of SAP BW/4HANA lifecycle and SAP BW/4HANA security 24

21 SAP BW/4HANA SIMPLIFIED DATA INTEGRATION SAP BW/4HANA HANA Source System ODP Source System Leverages SAP HANA EIM to provide new data provisioning opportunities SAP HANA Sources Adapter ASE, ECC, HANA 3 rd Party RDBMS EIM Smart Data Integration (SDI) real-time replication Hive Facebook Excel direct access Files Twitter SOAP Extractors SLT full/ delta load/ real-time replication ODQ (Operational Data Provisioning) ABAP CDS Replicate data in real-time (HANA SDI based replication or via ODP - especially with ODP-SLT) Access data virtually Load data using optimized processing RDBMS Text Structured Social Media Check full list of supported SDI sources here BW Business ByDesign Or automatically switch between the different methods 25

22 SAP ODP (OPERATIONAL DATA PROVISIONING) What are the major use cases with ODP and BW? Data transfer of extractors SAP ERP (ODQ) a SAP BW Real-time replication of tables and db-views via SAP SLT (ODQ) a SAP BW Data transfer between SAP BW (ODQ) a SAP BW Is there a runtime advantage using ODP? ODP allows to skip the PSA layer and load directly with DTP from the source system into a DSO consider ODP as framework for all your future implementations of new data flows into you BW system for ECC and SLT extraction 26

23 SAP BW/4HANA SIMPLIFIED SOURCE SYSTEMS Classic SAP BW SAP BW/4HANA 1 DB Connect Big Data All Sources SAP Sources/ Web Services UD Connect SAP Data Services BAPI/Partner HANA Source System ODP Extractor (SAPI) BW Web Services * HANA Source System Big Data** ODP Number of Source System Types reduced from 10 to 4 HANA Source System for all database and file connectivity ODP Source System for SAP backend systems and SLT File Source System Big Data Source System File Upload 10 File 4 File * Planned ** Connectivity to Spark (SQL) Destination already possible with the HANA Source System in BW 7.50 on HANA 27

24 MODERN INTERFACE New Business Users UX New Modeler UX New Administrator UX 28

25 SAP BW/4HANA NEW MODELLING USER INTERFACE SAPGUI SAP BW/4HANA Modelling Tools integrated with SAP HANA Studio 29

26 SAP BW/4HANA NEW BUSINESS USER INTERFACE SAP BusinessObjects Analysis Office SAP BusinessObjects Cloud BW Business Explorer (BEx) SAP BusinessObjects Design Studio 30

27 SAP BW/4HANA NEW INTERFACE FOR ADMINISTRATORS ABAP Process Chain Monitor UI5-based Process Chain Monitor 31

28 HIGH PERFORMANCE In-Memory Data Warehousing Algorithm Pushdown Advanced Analytics 32

29 Process Orchestration Process Orchestration SAP BW/4HANA ALGORITHM PUSH-DOWN BW on AnyDB SAP BW on AnyDB Data Modelling SAP BW/4HANA Data Modelling Significant performance gain through push-down of operations/calculations OLAP Data Management OLAP Data Management OLAP Engine, complex query calculations (e.g. exception aggregation) Any DB Planning SAP HANA Planning Pushdown Planning functions (e.g. disaggregation) Data management (e.g. transformation logic) 34

30 SAP BW/4HANA ADVANCED ANALYTICS BW/4HANA Source Transform Target Enhance data with Advanced Analytics using HANA specific libraries (AFL), R-Script or a custom HANA procedure InfoProvider HAP HAP InfoProvider InfoProvider / Index Predictive Text Analysis Data Mining SAP HANA AFL Procedure R-Script Machine Learning 35

31 PATHS TO BW/4HANA New Installation System Conversion Landscape Transformation 43

32 BUILT FOR CLOUD FLEXIBLE DEPLOYMENT SAP S/4HANA SAP BW/4HANA Multi-Temperature Modern UX Cloud Ready SAP HANA Platform Streaming Analytics Advanced Analytics Smart Data Integration Amazon AWS SAP HEC 44

33 CHOOSING YOUR PATH TO SAP BW/4HANA At SAP, we realize each of our customers are starting their journey to a modern data warehouse from different places. That s why we have created distinct paths, complete with distinct services and tools, to help you achieve your goals in the most direct fashion, with the least disruption. Path 1 New to SAP or Ready for a Fresh Start Bring data from your old system to SAP BW/4HANA with our integrated data management and quality tools If the design of your current SAP landscape is over five years old, it s time to consider a fresh start Leverage a modern data warehouse, without modifications or work-arounds of the past Path 2 * Convert Your System Complete conversion of an existing SAP Business Warehouse system to SAP BW/4HANA If your current SAP landscape has been highly maintained (SAP BW, powered by SAP HANA), you most likely can convert to SAP BW/4HANA in just a few steps Path 3 * Simplification for Faster Business Value Ideal for large enterprises with many instances of SAP and non- SAP BW systems Consolidation into one global SAP BW/4HANA system or selective data migrations * Planned 45

34 SA SA SAP BW/4HANA NEW IMPLEMENTATION SAP or non-sap Data Warehouse or SAP BW or Any Customer Legacy System Any Database Installation & Transport of Objects Data Load & Quality Check SAP BW/4HANA Modelling Tools SAP BusinessObjects Suite SAP BW/4HANA SAP HANA What How Install SAP BW/4HANA, selective transport of BW objects (optional *), implement HANA-optimized data models and flows, followed by data load and quality checks Software Provisioning Manager (SWPM), system connection (SAP source), SAP BW/4HANA ETL, file upload and/or SAP HANA EIM (legacy sources) * See appendix 46

35 SA SA SAP BW/4HANA SYSTEM CONVERSION APPROACH SAP Business Warehouse Maintenance Planner Database Migration Option (DMO) Software Update Manager (SUM) or User Interface SAP BW Database Technical Tasks Semantical Tasks SAP BW/4HANA Modelling Tools SAP BusinessObjects Suite SAP BW/4HANA SAP HANA Simplification List * Conversion Pre-Checks Object Transfer Tool Custom Code Analysis * The effort for the system conversion is largely proportional to the duration since the last major system update, the number of classical data models, and the amount of actively used custom coding. * Possible future tools 47

36 SA SA SA SAP BW/4HANA LANDSCAPE TRANSFORMATION SAP Business Warehouse SAP Business Warehouse or Any UI Any UI SAP BW/4HANA Modelling Tools SAP BusinessObjects Suite SAP BW 7.x SAP BW 7.x Installation & Data Migration SAP BW/4HANA 1.0 Any Database Any Database SAP HANA 1.0 SPS 12 What How Install SAP BW/4HANA, implement consolidated and HANA-optimized data models and flows, followed by data load and quality checks Selective Data Migration (SLO), SAP Landscape Transformation (SLT), SAP Data Services, SAP BW/4HANA ETL or SAP HANA EIM 48

37 MORE INFORMATION 49

38 GRACIAS SALVADOR GIMENO Solution Advisor Expert Center of Excellence Digital Enterprise Platform Group SAP 50

39 SAP BW/4HANA FEATURE GUIDE Feature SAP BW on AnyDB SAP BW on HANA SAP BW/4HANA* BW Baseline Features Retain Existing BW Customizations HANA DB Platform + Integration with SAP Data and S/4 + Integration with Non-SAP Data + Support for Mixed Use DW Scenarios + Future Developments and Enhancements BW Optimizations for HANA + Cloud offering in AWS BW Simplification and Data Footprint Reduction + Algorithm Push Down + Exposure of BW Models as Native HANA views + Simplified Administration Simplified Modeling Modern User Interface Automated Multi-Temp Data Management Conversion Tools New BW/4HANA Business content Big Data Support * High Level Feature Overview for

40 Abbreviations ABAP ADSO AFL AGS ASE AWS BAPI BEx BI BW C4C CRM DB DLM DMO DSO DW DWH Advanced Business Application Programming Advanced DataStore Object Application Function Library SAP Active Global Support SAP Adaptive Server Enterprise Database Amazon Web Services Business Application Programming Interface Business Explorer Business Intelligence Business Warehouse Cloud for Customers Customer Relationship Management Database (Connect) Data Lifecycle Management Database Migration Option DataStore Object Data Warehouse Data Warehouse DWaaS Data Warehouse as a Service ECC Enterprise Core Component EDW Enterprise Data Warehouse EIM Enterprise Information Management ELT Extract, Load, Transform ERP Enterprise Resource Planning ETL Extract, Load, Transform FI,CO,SD,MM,HR Financials, Controlling, Sales & Distribution, Material Management,, Human Resources HAP SAP HANA Analytic Process HEC SAP HANA Enterprise Cloud HTML Hypertext Markup Language IQ SAP IQ Database IoT Internet of Things LSA Layered Scalable Architecture LSA++ Layered Scalable Architecture for SAP HANA ML Machine Learning NLS Near-line Storage ODP Operational Data Provisioning ODQ Operational Delta Queue ODS Operational DataStore OLAP Online Analytic Processing PSA Persistent Staging Area RDBMS Relational Database Management System SDI SAP HANA smart data integration SLO System Landscape Optimization SLT SAP Landscape Transformation SOAP Simple Object Access Protocol SP Support Package SPS Support Package Stack SQL Structured Query Language SUM Software Update Manager SWPM Software Provisioning Manager UD Universal Data (Connect) UI User Interface UI5 SAP UI Development Toolkit for HTML5 UX User Experience 2016 SAP SE or an SAP affiliate company. All rights reserved. Customer 52