Eric Ledu, The Createch Group, a BELL company

Transcription

1 Eric Ledu, The Createch Group, a BELL company

2 Intelligence Analytics maturity Past Present Future Predictive Modeling Optimization What is the best that could happen? Raw Data Cleaned Data Standard Reports Ad Hoc Reports & OLAP Self Service BI Agile Visualization What is happening? What will happen? What happened? Maturity of Analytics Capabilities

3 Reporting on the Past SAP BW and SAP BI Reporting on the Present Reporting on the Future

4 Digital Ecosystem Cloud Mobile Agile Visualization Advanced Analytics Big Data Enterprise Business Intelligence IOT

5 SAP BW Mixed scenarios SAP BW for SAP data sources HANA for Other Data SAP BW for Consolidated reporting SAP HANA for real-time reporting

6 BW and HANA modeling side-by-side The Composite Infoprovider can combine data from any source within the BW/HANA system: - BW Infoobject, -Table, - real-time data from Smart Data Access

7 SAP BusinessObjects BI4.2 Top 5 SAP HANA Online Direct Access to SAP HANA Views Commenting Recycle Bin Parallel Data Provider Refresh

8 Interoperability Common platform services SelfService Enabled Simplify the landscape Data Discovery & Analysis Lumira Explorer Lumira Dashboards & Applications Design Studio Dashboards BEx Web Analysis for OLAP Design Studio Office Integration Analysis Office EPM Add-in Live Office BEx Analyzer Analysis Office Reporting Web Intelligence Crystal Reports Desktop Intelligence Web Intelligence Crystal Reports

9 Reporting on the Past Reporting on the Present Internet Of Things S/4HANA Analytics Reporting on the Future

10 SAP HANA is a new modern platform that helps transform companies seeking agility and simplicity Connect to anything SAP HANA Platform Process any data Structured Data Social Network Text Data Geospatial Data Machine Data RFID

11 SAP HANA Platform Integration Services Data from any source for a complete view of the business SAP HANA Platform Application Services Database Services Smart Data Access Smart Data Integration Integration Services Smart Data Streaming (CEP) Remote Data Sync Hadoop Integration Federation Loading Streaming Synchronize IBM DB2,, Oracle, MS SQL Server, Teradata, SAP HANA, SAP ASE, SAP IQ IBM DB2, Oracle, MS SQL Server, Twitter, OData, Custom Adapters

12 Demo

13 SAP HANA Live architecture Foundation for new class of applications SAP ECC Applications SAP HANA PLATFORM Zero latency! Operational Reporting HANA Views Database Layer Physical Tables Atomic data set for detailed drill-down information Purchasing Manager Operational data available instantaneously Pre-defined models across entire suite

14 SAP HANA Live architecture The HANA Sidecar SAP ECC Applications Analytic Applications Query Tools Traditional RDBMS SAP HANA PLATFORM Database Layer Database Layer HANA Views Physical Tables Replication* Physical Tables * real-time replication, e.g. using SAP Landscape Transformation Replication Server (SLT) technology

15 SAP Business Suite real-time analytics with SAP HANA Live No latency No data duplication Ready-to-use content Integration scenarios with SAP BW SAP Business Suite Application Hybrid Transactional and Analytical Applications e.g. SAP Smart Business cockpits Analytical Apps and BI Clients e.g. SAP BusinessObjects BI HANA Database Layer Virtual Data Model on Physical Tables Atomic Instantaneous Pre-defined

16 SAP S/4HANA real time analytics architecture with CDS Views No latency No data duplication Ready-to-use content Integration scenarios with SAP BW SAP S/4HANA Application Hybrid Transactional and Analytical Applications e.g. SAP Smart Business cockpits Analytical Apps and BI Clients e.g. SAP BusinessObjects BI Full ABAP Lifecycle Integration Supporting ERP authorizations Supporting ERP hierarchies Part of the general Extensibility concept Supporting more business cases (analytics, search, fact sheets, planning, ) ABAP Layer Virtual Data Model, based on Core Data Services (CDS) Transient BEx Queries HANA Database Layer SQL-Runtime-Views on Physical Tables Atomic Instantaneous Pre-defined

17 Core Data (CDS) Views Core Data Services are SAP s strategic modeling approach for Business Entities SAP HANA Views get created from scripted ABAP code High flexibility for further multiple use cases (e.g. Search, ) Scripted (SQL + extensions) Fully integrated with ABAP: Lifecycle, Authorization Management, More information

18 Analysis for Office (on premise only, separate license)

19 SAP Lumira (on premise only, separate license)

20 SAP Design Studio (on premise only, separate license)

21 S/4HANA Analytics: Multidimensional Reporting Client

22 S/4HANA Analytics: Query Browser

23 S/4HANA Analytics: Smart Business Cockpit

24 KPI Catalogue for S/4HANA

25 Demo

26 Reporting on the Past Reporting on the present Reporting on the future Big Data Predictive Analytics

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28 Big Data: the 3 V CPG : tweets feeds Utilities : meter readings Retail : customer transactions IOT Multimedia (video, ) Internet Fraud Management Sensor Alert Management

29 The children of Google

30 What is Hadoop? At Google, operations are run on a special file system called Google File System (GFS) that is highly optimized for this purpose. Doug Cutting and Yahoo! reverse engineered the GFS and called it Hadoop Distributed File System (HDFS). The software framework that supports HDFS, MapReduce and other related entities is called the project Hadoop or simply Hadoop. This is open source and distributed by Apache.

31 HADOOP: the secret behind Big Data

32 Hadoop and Hana are complementary HANA is for the known-knowns Fully managed reporting source Used to deliver known facts effectively to a wide range of users Hadoop is for the unknown-unknowns Investigation for deeper insight Use analytical tools to discover Cheap, runs on commodity hardware

33 Predictive Analysis : why? resigned High risk

34 Business cases of predictive analysis :-) Brand Sentiment Predictive Maintenance Network Optimization Insider Threats Asset Tracking Personalized Care Product Recommendation Real-time Risk Mitigation Propensity to Churn Real-time Demand/ Supply Forecast 360 O Customer View Fraud Prevention

35 HANA and Hadoop working together thanks to SAP VORA

36 Four steps to predictive realization Explore and prepare your data Design and validate your model Deploy processes and actions ONE SAP solution Analyze and optimize the results 3 36

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38 SAP Predictive Analytics 2.x ONE SOLUTION, MULTIPLE MODES Business User Expert User Low learning curve for novice users Intuitive user interface with codefree experience Modeling automation for fast results Algorithms and model types are fine-tuned automatically Creation of rich visualizations, analytic stories, and publishing Similar learning curve for expert users User interface that supports rapid model fine-tuning Smart variable selection and simulation capabilities Algorithms are configurable with ability to use custom R Use of statistical reports to confirm reliability of model

39 Big Data in action

40 We have seen a lot of things today The SAP applications for Business Intelligence are still there, and part of the roadmap: SAP BI 4.2, SAP BW 7.5 We can now easily add a lot of information to the ERP and CRM data, thanks to Big Data and IOT technologies, and get some new intelligence and understanding The new S/4HANA application already leverages real-time reporting from SAP HANA to improve greatly the standard ERP reports All the new information, together with the ERP, CRM, SCM data, help built predictive models that will allow you to better plan and forecast your business

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