SAP FINUG Teknologiaseminaari

Transcription

1 SAP FINUG Teknologiaseminaari SAP Advanced Analytics Joni Ahola, 09 September 2015 Human Centric Innovation

2 On the Agenda Advanced Analytics Approach SAP Predictive Analytics Tools, Functions & Libraries Case Study Consumer Products Advanced Analytics for all Thank You!! 1

3 Advanced Analytics Approach 2

4 Challenges & Opportunities Digitization of Products & Processes Operational Excellence Cheap Communications Internet of things Cloud Platforms Big Data Capabilities Technology Innovations 3D Visuals Mobile Anywhere Augmented Reality Simulations End to End Solutions New Business Models 1 October

5 Advanced Analytics is NOW! 60 Advanced Analytics Trends Web Analytics Predictive Analytics OI Geospatial Social Media Analytics Machine Learning IoT Now in 3 yrs TDWI BPR on emerging technologies, October

6 Analytics has Evolved Descriptive Diagnostic Predictive Prescriptive Q What happened? What is happening? Why did it happen? What will happen? What should I do? Why should I do it? E Business reporting Dashboards Scorecards Data warehousing Behavioral analysis Cause and effect analysis Correlations Data mining Text mining Web/media mining Forecasting Optimization Simulation Decision modeling Expert systems O Well-defined business problems and opportunities Cause and effects of changes in business activities Accurate projections of the future states and conditions Best possible business decisions and transactions Delen, Dursun and Demirkan, Haluk, Decision Support Systems, Data, information and analytics as services, 1 October

7 Who can deal with Advanced Analytics? Tools & Applications Data Sense Critical Thinking Skills Techniques Business Nous Communication TDWI Webinar, Fern Halper, Practical Predictive Analytics 1 October

8 SAP Predictive Analytics Agile Visualisations Advanced Analytics Enterprise Business Intelligence 7

9 SAP Predictive Analytics 2.x PAL - Predictive Analysis Library APL Automated Predictive Library R R open source Integration / Custom (BFL Business Function Library) SAP Predictive Analytics 2.x Clustering Classification Regression Association Time Series Preprocessing Statistics Social Network Analysis ABC Analysis Automated Analytics Expert Analytics

10 What is SAP Predictive Analytics? Automated Analytics SAP Predictive Analytics (2.x) Expert Analytics Modeler : Build your models Explorer : Prepare your data Automated Analytics Expert Analytics Holistic solution for advanced analytics and data visualization Scorer : Deploy your scores Social : Find your influencers Recommendation : Personalized recommendations Factory : Improve your models Open to most major data sources for comprehensive analysis R integration, data flow interface Optimized for SAP HANA to support huge data volumes and in-memory processing

11 Case Study 10

12 Advanced Analytics Case Study Objectives Automated quality control (monitor / alert / react) for production lines in Real Time Adhoc quality analytics & visual intelligence Long term trend analysis & Predictive Modeling / Analytics Implementation Data Integration & Storage in SAP HANA SAP Advanced Analytics / Lumira Thousands of log files/hour/operation across production lines (Smart Data Streaming) Data volumes 30GB / day (Advanced Data Tiering) 11

13 ADT Case Study - Solution Overview Adhoc SAP IQ / ASE SAP ERP / Suite Trend Predictive Analytics 2.x Other non SAP Data Sources SAP BFL / APL / PAL / R MES Analytics on HANA HANA Smart Data Streaming MES Production Data Logs Business Intelligence Services Data Integration & Consolidation Data Sourcing Analytical tools from PA 2.x Expert Analytics for HANA (BFL / PAL) / Lumira Visuals Automated Analytics for Predictive Modeling (APL / R-Integration) Data Integration & Storage in HANA HANA Smart Data Streaming Data Modelled & Stored in HANA DB (Advanced Data Tiering Option) Source - MES production system Log files (/Other sources) 12

14 Case Study Implementation Approach Phase 0 Technical Proof of Concept Tool Validation Static data integration of log files Phase 1 - Live Pilot Increased data volumes SPC / quality audit scenarios Automated process flows Alerting Phase 2 Advanced Analytical Scenarios Adhoc & Data Mining Capability Predictive Models Advanced Data Tiering 13

15 Advanced Analytics for all 14

16 Advanced Analytics For All Attitude Skills Strategy vs Targets Tools & Techniques Distribution & Comms Data Partners Don t Stop! 15

17 Advanced Analytics For All SAP Predictive Analytics RDS Availability Banking Customer attrition analysis Consumer Products Demand data analysis Product fulfillment and optimization Brand sentiment and sales analysis Telco Churn modeling and offer recommendation Rotational churn detection Multi-SIM detection Post-paid analysis Financial Services Company performance analysis Late-payment management Profitability analysis with financial trends Customer cash collection analysis Fraudulent claims Loss forecasting 16

18 Advanced Analytics For All SAP Predictive Analytics RDS Availability Manufacturing Maintenance cost analysis Asset breakdown analysis Stock analysis for asset utilization Overall equipment effectiveness Customer demand and inventory requirements Retail Market basket opportunities Customer loyalty programs Store clustering Short-term check out prediction Sales & Marketing Customer segmentation Market campaign success Market segmentation Pipeline and revenue forecasting Product recommendation 17

19 Thank You!! 18

20