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#askSAP Analytics Innovations Community Webcast
Reimagine Predictive Analytics for
the Digital Enterprise
August 31, 2016
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 2
Legal disclaimer
The information in this presentation is...
SAP Analytics Innovations: Community Call Series
• Quarterly series for the Analytics community hosted by SAP Analytics
• ...
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 4
Ashish Morzaria
Global GTM Director,
Advanced Analytics
...
INTRODUCTION TO
SAP BusinessObjects Predictive Analytics
Product and Use Cases
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 6
Everything we touch… Every good we purchase…
In the New ...
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 7
Customers Operational Margin Growth
How do you personali...
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 8
Early Adopters Are Winning
In the next 10 years, 40% of ...
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 9
The Power of Predictive
Unlocks Big Value:
the need for ...
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 10
SAP
BusinessObjects
Predictive Analytics
Data Preparati...
SAP BusinessObjects Predictive Analytics
Native In-Memory Predictive Analytics
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 12
SAP HANA
Real-time in-memory predictive analytics platf...
© SAP AG or an SAP affiliate company. All rights reserved. 13
SAP HANA
Real-time in-memory predictive analytics platform
R...
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 14
Traditional Analytics Versus In-Memory Predictive Analy...
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 15
Support for SAP HANA Smart Data Streaming
• Automated A...
SAP BusinessObjects Predictive Analytics
Predictive Analytics on Big Data
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 17
Existing Process: entire dataset is transferred
Connect...
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 18
Traditional
Application
Leverage Hadoop + Spark = big d...
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 19
With Native Spark Modelling, processing closer to data ...
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 20
Native Spark Modelling
Execute automated predictive mod...
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 21
Traditional Big Data vs. Big Data with SAP BusinessObje...
SAP BusinessObjects Predictive Analytics
Bringing The Gift of Predictive Insight
to Business Intelligence
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 23
Descriptive (Business Intelligence) vs Predictive Analy...
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 24
Smarter BI that goes beyond visual
analysis into insigh...
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 25
Model deployed using
In-Database-Apply
Customer Databas...
26© 2016 SAP AG or an SAP affiliate company. All rights reserved.
Hancock, John M 38 D Y 4.2 N ?
Doe, Jane F 45 M Y 9.4 N ...
#askSAP Q&A
SAP BusinessObjects Predictive Analytics
Scale to large numbers
of Predictive Models
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 29Public
Sales and
Marketing Operations
Fraud
and Risk
Fin...
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 30
Predictive Process
Problem
Identified
Business
Results
...
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 31
Value of SAP’s Predictive Automation
What SAP BusinessO...
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 32
The Predictive Factory
• Manage the lifecycle of predic...
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 33
Predictive Factory Features
Segmented Modelling
• Take ...
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 34
SAP BusinessObjects Predictive Analytics 3.0
Simplify N...
Demo
Demo
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 36
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 37
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 38
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 39
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 40
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 41
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 42
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 43
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 44
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 45
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 46
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 47
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 48
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 49
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 50
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 51
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 52
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 53
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 54
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 55
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 56
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 57
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 58
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 59
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 60
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 61
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 62
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 63
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 64
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 65
The Difference
Before SAP
BusinessObjects
Predictive An...
SAP BusinessObjects Predictive Analytics
Predictive Analytics and SAP
Applications
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 67
Value for Business Users
• Take advantage of predictive...
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 68
• Perform an embedded predictive
forecast in their plan...
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 69
Detect fraud earlier to reduce financial loss
o Leverag...
#askSAP Q&A
SAP BusinessObjects Predictive Analytics
Customer Case Study
Stella Predictive Analytics
• SAP BusinessObjects Predictive Analytics for Automated Analytics and rapid
prototyping of ou...
Stella User Experience
• Seamless UX integration
• Allows for up to the
minute prediction on
incoming jail records
• Flags...
Stella
This pilot allowed SAP Partner, EV Technologies,
to assist Harris Logic through a successful SAP
HANA pilot and lat...
Questions?
Eric Vallo
eric@evtechnologies.com
314.227.0115
75
#askSAP Final Q&A
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 77
Online Resources
Key links
 Roadmaps on SAP Service Ma...
© SAP AG or an SAP affiliate company. All rights reserved.
Thank You
www.sap.com/predictive
www.sap.com/scn-predictive
#sa...
© 2016 SAP AG or an SAP affiliate company. All rights reserved. 79
© 2016 SAP AG or an SAP affiliate company. All rights r...
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#askSAP Analytics Innovations Community Call: Reimagine Analytics for the Digital Enterprise

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http://sap.com/predictive - New digital technologies allow companies to reimagine business models, rise to disruptive market entrants and squeeze more productivity from less resources. Companies embracing digital transformation by investing in advanced analytics are winning. They create more revenue, greater market valuations, and growing profitability.

SAP BusinessObjects Predictive Analytics is a game changer in the predictive space by helping you create, deploy, and maintain thousands of predictive models that anticipate future outcomes and guide better, more profitable decision-making across your digital enterprise.

Published in: Technology

#askSAP Analytics Innovations Community Call: Reimagine Analytics for the Digital Enterprise

  1. 1. #askSAP Analytics Innovations Community Webcast Reimagine Predictive Analytics for the Digital Enterprise August 31, 2016
  2. 2. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 2 Legal disclaimer The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP. This presentation is not subject to your license agreement or any other service or subscription agreement with SAP. SAP has no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation and SAP's strategy and possible future developments, products and or platforms directions and functionality are all subject to change and may be changed by SAP at any time for any reason without notice. The information in this document is not a commitment, promise or legal obligation to deliver any material, code or functionality. 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. This document is for informational purposes and may not be incorporated into a contract. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP´s willful misconduct or gross negligence. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions.
  3. 3. SAP Analytics Innovations: Community Call Series • Quarterly series for the Analytics community hosted by SAP Analytics • An opportunity for you to direct the discussion, get your questions answered, and end the session with some useful advice • Live and interactive 90 minutes • Connect on topics before, during, and after the call via twitter using #askSAP
  4. 4. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 4 Ashish Morzaria Global GTM Director, Advanced Analytics @AshishMorzaria Greg Myers SAP Mentor @gpmyers Today’s Speakers Richard Mooney Lead Product Manager for Advanced Analytics @richardjmooney
  5. 5. INTRODUCTION TO SAP BusinessObjects Predictive Analytics Product and Use Cases
  6. 6. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 6 Everything we touch… Every good we purchase… In the New Digital Economy, Everything is Digitized and Tracked Every transaction we conduct…
  7. 7. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 7 Customers Operational Margin Growth How do you personalize each interaction across all channels? How do you improve your performance across thousands of processes and decisions? How do you create new products, services, and business models? The Digital Economy To Your Advantage…
  8. 8. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 8 Early Adopters Are Winning In the next 10 years, 40% of the S&P 500 will no longer exist if they do not keep up with these technology trends* +9% Revenue creation +26% Market valuation +12% Impact on profitability * “The Digital Advantage: how digital leaders outperform their peers in every industry”: CapGemini and MIT Sloan Those Embracing Digital Transformation are Outperforming
  9. 9. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 9 The Power of Predictive Unlocks Big Value: the need for Predictive 68% of organizations using predictive analytics realized competitive advantages. 60% of fraudulent transactions have stopped using predictive. 28% reduction in customer churn rate with predictive. • Use historical data to predict behaviors or outcomes • Answer “what-if” questions • Ensure employees have what they need to make optimized decisions • Fully leverage customer relationships with better insight • Make meaningful sense of Big Data
  10. 10. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 10 SAP BusinessObjects Predictive Analytics Data Preparation Create meaningful and reusable data sets Automated Analytics Reduce time and skills required to create accurate models with repeatable workflow With Big Data Use Hadoop data with automated techniques directly in Spark Ultimate Flexibility for Algorithms Use off-the-shelf algorithms or bring specialized ones – such as R functions Accurate Results in Days, Not Weeks For everyone: perfect for Analysts AND Data Scientists Native in-memory Solution SAP HANA optimized for on-the-fly predictive data processing
  11. 11. SAP BusinessObjects Predictive Analytics Native In-Memory Predictive Analytics
  12. 12. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 12 SAP HANA Real-time in-memory predictive analytics platform R Scripts Execution of R scripts via high-performing parallelized vector based connection; R scripts embedded as part of overall query plan Application Function Library (AFL) Application Function Library (AFL) framework allows SAP, partner, and customers to develop, deploy, load, and leverage their own advanced analytic custom functions in SAP HANA Custom Open Source R-Server SAP HANA Other Native Libraries
  13. 13. © SAP AG or an SAP affiliate company. All rights reserved. 13 SAP HANA Real-time in-memory predictive analytics platform R Scripts Execution of R scripts via high-performing parallelized vector based connection; R scripts embedded as part of overall query plan Application Function Library (AFL) Application Function Library (AFL) framework allows SAP, partner, and customers to develop, deploy, load, and leverage their own advanced analytic custom functions in SAP HANA Custom Open Source Accelerated predictive analysis and scoring with native in-database algorithms Predictive Analysis Library (PAL) SAP Predictive Analysis Library Automated Predictive Library (APL) The predictive analysis capabilities of SAP’s Predictive automated analytics engine (formerly KXEN) in SAP HANA Automated Predictive Library R-Server SAP HANA Other Native Libraries APL: Automated Algorithms  Native implementation of automated predictive algorithms:  Regression  Clustering  Forecasting  Recommendation  Social Network Analysis  No data extraction required  Fully accessible from “Automated” and “Expert” interfaces PAL: Data Scientist Algorithms  Aims to supply most commonly used data science algorithms (80/20 rule) natively  90+ natively coded algorithms (C++)  Freely mixable with APL algorithms  No data extraction required R: Open Source Data Scientist Algorithms  8500+ algorithms available  Full support for custom coding  Requires data extraction (externalized process to HANA)  Fully integrated development when using SAP PA Suite license
  14. 14. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 14 Traditional Analytics Versus In-Memory Predictive Analytics Predictive Analysis Library Automated Predictive Library R-Server SAP HANA Other Native Libraries • Create and apply models on very large datasets within SAP HANA or in a Hadoop storage transparently connected to SAP HANA • Real-time predictions recommendations: integrate predictive models into processes • Native integration with SAP HANA for ERP and BW, to provide in-applications predictive modeling 1. Copy data from transactional and external sources 2. Extract data from storage, convert & clean for analytics 3. Download analytical results & load into predictive analytics application 4. Transfer predictive scoring results into database SAP BusinessObjects Predictive Analytics vs.
  15. 15. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 15 Support for SAP HANA Smart Data Streaming • Automated Analytics now supports HANA Spark Data Streaming • Generates CCL Code which can be deployed to HANA SDS • Smart Data Streaming Use Cases o IOT Data for Predictive Maintenance and Quality o Clickstream analysis for Marketing o Connected Retail HANA Smart Data Streaming Predictive Analytics Automated Modeller
  16. 16. SAP BusinessObjects Predictive Analytics Predictive Analytics on Big Data
  17. 17. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 17 Existing Process: entire dataset is transferred Connectivity = SQL only FULL (Big Data) dataset is transferred for processing Dataset BIG Datasets Dataset Big Data SQL Engines (Spark SQL,Hive) 010001100100 100101001011 100010010101 010011110101 010001100100 100101001011 100010010101 010011110101 010001100100 100101001011 100010010101 010011110101 Traditional Predictive Analytics Data Warehouse RDBMS Data platform… • power not being leveraged properly • just transfers data Modeler.. • Pulls in data, processes, • Pulls in more data, processes…
  18. 18. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 18 Traditional Application Leverage Hadoop + Spark = big data store + application platform Processing on a single server Data Transfer CPU/Memory scales dynamically Processing on 100’s-1000’s of nodes Hive QL SQL Database Native Application Limited CPU/Memory
  19. 19. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 19 With Native Spark Modelling, processing closer to data in Hadoop FULL training dataset is transferred No dataset transfer required! Data platform… • runs the Spark application • processing close to data Native Spark Connectivity SAP BusinessObjects Predictive Analytics Native Spark Modelling Native Spark Modelling • controls the process
  20. 20. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 20 Native Spark Modelling Execute automated predictive models directly on Hadoop using the Apache Spark engine • Push the data intensive modeling workload to Native Spark - Classification and Regression models supported • Model Lifecycle management on Hadoop with RETRAIN and APPLY • User structure and custom cutting strategy supported on Native Spark • Real Time Scoring via Spark Streaming API Benefits • No data transfer – heavy lifting operations brought close to data • Faster response times – 7 to 10 times performance gains • Higher scalability – scale your training process with wider and data more models • Better utilization of CPUs – in distributed Hadoop environment • Abstraction – Analysts can work with Big Data seamlessly HDFS (Hadoop Distributed File System) Hive (SQL) Spark SQL Model Lifecycle Manager (Factory) Scorer Predictive Analytics Data Manager In-DB scoring (Spark /Hive QL) Analytics Dataset Definition Layer Advanced Analytics Execution Layer Spark Streaming (Java Export) Modeler - Training Native Spark
  21. 21. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 21 Traditional Big Data vs. Big Data with SAP BusinessObjects Predictive Analytics Next? Who? How? Big Data Analytics SAP BusinessObjects Predictive Analytics Code Wizard Based Approach with GUI for End-Users Big Data Developers Ideal Tool for use by both a Data Scientist and a Business Analyst OR Citizen Data Scientist Data Scientists Manually Deployed & Monitored Automated Deployment & Monitoring using Predictive Factory
  22. 22. SAP BusinessObjects Predictive Analytics Bringing The Gift of Predictive Insight to Business Intelligence
  23. 23. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 23 Descriptive (Business Intelligence) vs Predictive Analytics Business Intelligence Predictive Analytics • Who are my most valuable customers? • Who will be my most valuable customers next month? • Who could become my most valuable customer and why? • What are my most important products? • What will be my most important products? • What products could become my most valuable products? • What are my most successful promotions? • What promotions should I run? • What promotions could be a good idea to run in the future? • When did customer X visit my store last? • What is the chance of customer X visiting in the next 2 weeks? • What were the most profitable products for customers in my loyalty program? • What products should I focus on to increase my profit from customers in my loyalty program?
  24. 24. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 24 Smarter BI that goes beyond visual analysis into insights that cannot hide Predictive dashboards that prescribe and can trigger actions Reports that include reasons and recommendations on next steps Move from Descriptive to Predictive BI
  25. 25. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 25 Model deployed using In-Database-Apply Customer Database Hancock, John M 38 D Y 4.2 N Y Doe, Jane F 45 M Y 9.4 N N Red, Simply F 18 S N 2.1 N Y SQL Dataset w/ Scoring Business Users can get on-the-fly scoring without even knowing they are using predictive algorithms BI Artifact (or even just a dataset) SAP BI (3.x/4.x) Embedded into any application Cloud Applications (SaaS/PaaS/IaaS) SQL (Or any other application) Embedding Predictive Analytics into BI Workflows
  26. 26. 26© 2016 SAP AG or an SAP affiliate company. All rights reserved. Hancock, John M 38 D Y 4.2 N ? Doe, Jane F 45 M Y 9.4 N ? Red, Simply F 18 S N 2.1 N ? Model NEW Data (Current Customers) Hancock, John M 38 D Y 4.2 N Y Doe, Jane F 45 M Y 9.4 N N Red, Simply F 18 S N 2.1 N Y Hancock, John M 38 D Y 4.2 N Y Red, Simply F 18 S N 2.1 N Y Targeted List (CR) Significantly increase ROI through dataset reduction: • Lower campaign costs by targeting those most likely to leave • Increase response rate by targeting even more specifically on other attributes • Increase C-Sat by not hassling loyal customers Name Gender Age Marital Recent Activity C-Sat Renewed Before Predicted Churn Customer not expected to churn, so don’t bother them! Analysis (WEBI / Lumira) Batch scoring
  27. 27. #askSAP Q&A
  28. 28. SAP BusinessObjects Predictive Analytics Scale to large numbers of Predictive Models
  29. 29. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 29Public Sales and Marketing Operations Fraud and Risk Finance and HR Other Sectors • Churn Reduction • Customer Acquisition • Lead Scoring • Product Recommendation • Campaign Optimization • Customer Segmentation • Next Best Offer/Action • Predictive Maintenance • Load Forecasting • Inventory/Demand Optimization • Product Recommendation • Price Optimization • Manufacturing Process Opt. • Quality Management • Yield Management • Fraud and Abuse Detection • Claim Analysis • Collection and Delinquency • Credit Scoring • Operational Risk Modeling • Crime Threat • Revenue and Loss Analysis • Cash Flow and Forecasting • Budgeting Simulation • Profitability and Margin Analysis • Financial Risk Modeling • Employee Retention Modeling • Succession Planning • Life Sciences • Health Care • Media • High Education • Public Sector / Social Sciences • Construction and Mining • Travel and Hospitality • Big Data and IoT Solve Real Business Problems By Optimizing Resources and Improving Margins
  30. 30. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 30 Predictive Process Problem Identified Business Results Identify Relevant Variables Aggregate Prepare Data Derived Features & Encode Variables Develop Models Debrief models Write Code for Database Execution
  31. 31. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 31 Value of SAP’s Predictive Automation What SAP BusinessObjects Predictive Analytics does for automation: Data Manager: • Generate SQL for • HANA • Hadoop: o HIVE, SparkSQL • All major databases Auto-algorithms: Make this section obsolete Auto-algorithms: Numbers, strings, dates Categorical, continuous, textual Date parts Composite variables (example: position from latitude and longitude) Auto-algorithms: Classification, regression, clustering, times series, key influencers Link analysis, recommendations HANA (APL) Hadoop (Scala) Auto-algorithms: All descriptive statistics available Key influencers, decision trees, segments, optimal binning and banding Communities In-Database Apply: Automated SQL generation Optimized with data manager Hadoop: HIVE, SparkSQL, Streaming (Java) Problem Identified Business Results Identify Relevant Variables Aggregate Prepare Data Derived Features & Encode Variables Develop Models Debrief models Write Code for Database Execution
  32. 32. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 32 The Predictive Factory • Manage the lifecycle of predictive models created in SAP BusinessObjects Predictive Analytics • Automatically retrain, apply, test for deviation and forecast your models • Robustly embed predictive analytics at scale in business processes Key benefits • Manage thousands of models easily and robustly • Automate model refresh and application • No scripting needed • Multi-User, collaborative experience
  33. 33. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 33 Predictive Factory Features Segmented Modelling • Take a dataset with thousands of segments. e.g. Retail outlets, market segments, geographies, products, machines …. • Build a model for one segment using Automated Modeler. Import the Model into Predictive Factory • Segment the model in Predictive Factory to build models for every other segment with the same model parameters and configuration • Scalable to thousands of segments • Supports Time Series in 3.0 External Commands • Run Data Preparation using external tools • Run external, non PA Predictive Models Sales EMEA North America Product 1 Q1 Forecast Q2 Forecast Product 2 Q1 Forecast Q2 Forecast Product 3 APAC MEE Build thousands of models in a single operation
  34. 34. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 34 SAP BusinessObjects Predictive Analytics 3.0 Simplify Next Generation UI Streamlined Predictive User Experience and Workflow • Modern design principles based on Fiori UX and HTML 5 for a completely reimagined user experience • Personalized, responsive and simple user experience across devices and deployment options • In-app notifications • X-Ray support for In-App Contextual Help to ease first time user experience
  35. 35. Demo Demo
  36. 36. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 36
  37. 37. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 37
  38. 38. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 38
  39. 39. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 39
  40. 40. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 40
  41. 41. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 41
  42. 42. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 42
  43. 43. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 43
  44. 44. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 44
  45. 45. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 45
  46. 46. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 46
  47. 47. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 47
  48. 48. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 48
  49. 49. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 49
  50. 50. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 50
  51. 51. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 51
  52. 52. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 52
  53. 53. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 53
  54. 54. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 54
  55. 55. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 55
  56. 56. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 56
  57. 57. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 57
  58. 58. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 58
  59. 59. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 59
  60. 60. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 60
  61. 61. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 61
  62. 62. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 62
  63. 63. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 63
  64. 64. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 64
  65. 65. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 65 The Difference Before SAP BusinessObjects Predictive Analytics After SAP BusinessObjects Predictive Analytics Answer any/all questions with any/all data sources – No limits! In-database automated dataset production - No data movement! Automated modeling and tuning process - Focus on accurate results, not algorithms or code! Native in-database and application/process deployment - Embed and consume for immediate results! On-going model management and recalibration - No rework necessary! Days
  66. 66. SAP BusinessObjects Predictive Analytics Predictive Analytics and SAP Applications
  67. 67. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 67 Value for Business Users • Take advantage of predictive analytics and machine learning without Data Science expertise • Discover new insights in your data, improving your business process powered by predictive Automated, Guided and Trusted Experience Guided Analysis designed for Business Users, featuring the power of Exploratory Analytics New Discoveries We guide you on your journey to find the answer to your questions Guided Machine Discovery as Part of SAP BusinessObjects Cloud
  68. 68. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 68 • Perform an embedded predictive forecast in their planning model • Predictive forecast runs a time series algorithm on historic data in order to predict future values considering trend, cycles and/ or fluctuation. • It can be leveraged to aid the planning process using a data-driven approach. Predictive Forecast as Part of SAP BusinessObjects Cloud
  69. 69. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 69 Detect fraud earlier to reduce financial loss o Leverage the power and speed of SAP HANA o Integration into business processes o Alert notification and management Improve the accuracy of detection at less cost o Minimize false positives with real-time simulations o Ability to handle ultra-high volumes of data by leveraging SAP HANA Predict & Prevent and deter fraud situations o Detection based on rules and predictive analytics to adapt to changing fraud patterns SAP Fraud Management with Predictive Analytics
  70. 70. #askSAP Q&A
  71. 71. SAP BusinessObjects Predictive Analytics Customer Case Study
  72. 72. Stella Predictive Analytics • SAP BusinessObjects Predictive Analytics for Automated Analytics and rapid prototyping of our models • Forward engineered into SAP HANA for real-time predictions using native, logistical regression model • This approach allowed for identification of key predictors that more heavily influence a behavioral health outcome • Run as a pilot to rapidly prototype the concepts 8Weeks for Pilot 99%Prediction Accuracy “This tool will allow me to completely redesign the clinical process and provide the right amount of care at the right time. ” – Executive Director of Mental Health Provider
  73. 73. Stella User Experience • Seamless UX integration • Allows for up to the minute prediction on incoming jail records • Flags important predictive factors for clinician • Enables real time decision support for accurate resource allocation
  74. 74. Stella This pilot allowed SAP Partner, EV Technologies, to assist Harris Logic through a successful SAP HANA pilot and later, into a cloud based architecture. Phase 1 – Pilot – Stella 3.0 – Q1 2016 • Develop use cases organized by cost, time to deliver, and return on investment • Executed a migration of the needed JAVA application components to SAP HANA • Successfully modelled the first two predictive models and integrated into the pilot application – high utilizers and propensity to recidivize Phase 2 – Stella 3.0 – June 2016 • Full implementation running SAP HANA and SAP BusinessObjects on AWS • Transitioned all pilot code to next-generation Stella 3.0 Phase 3 – Stella 3.x+ - Q3 2016 • Selected as strategic partner for the new 18 month roadmap • Developed use cases for remaining SAP HANA capabilities including Text Analysis and the Spatial Engine • Prioritized remaining use cases into release schedule
  75. 75. Questions? Eric Vallo eric@evtechnologies.com 314.227.0115 75
  76. 76. #askSAP Final Q&A
  77. 77. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 77 Online Resources Key links  Roadmaps on SAP Service Marketplace http://service.sap.com/saproadmaps  SAP Community Network http://scn.sap.com/  Predictive Analytics Community http://scn.sap.com/community/predictive-analytics  30 days Trial Download https://www.sap.com/trypredictive  SAP BusinessObjects Predictive Analytics http://sap.com/predictive Where to go to provide product feedback and ideas  SAP Idea Place https://ideas.sap.com  Predictive Idea Place https://ideas.sap.com/PredictiveAnalytics  Influence programs http://service.sap.com/influence Sign up to our newsletter http://scn.sap.com/docs/DOC-66912
  78. 78. © SAP AG or an SAP affiliate company. All rights reserved. Thank You www.sap.com/predictive www.sap.com/scn-predictive #sappredictive  @sapanalytics
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