Predictive Analytics and the Big Data Challenge Andrei Grigoriev, MBA, MSc Sr. Director, Custom Development EMEA SAP Nice, April 2014
What is Predictive Analytics Predictive analytics is about analyzing known facts and making predictions about unknown events. Analyzing algorithms Known facts (big) data Unknown events either in the past or in the future 2013 SAP AG or an SAP affiliate company. All rights reserved. 2
Arrow of Time Observer Entropy (randomness) increases Past Cause Future Effect Known facts can be both in the past and future 2013 SAP AG or an SAP affiliate company. All rights reserved. 3
Big Data Will Be Just Data Soon Big Data is about managing and analyzing large volumes of various types of data with great velocity Exabyte Petabyte Age 2013 SAP AG or an SAP affiliate company. All rights reserved. 4
Big Data Are There Limits? In the context of this paper: information about as many relevant events as possible with the highest possible resolution (granularity) I believe there is no theoretical limit, i.e. indefinite data resolution is possible. Will we have enough energy to deal with that that is not in the context of this paper. 2013 SAP AG or an SAP affiliate company. All rights reserved. 5
Practical Considerations We only need to predict with a reasonable accuracy i.e. a good prediction means we always gain something. For example, price of shares. What if everyone is able to predict? Example: two people betting, both predict same results, no gain but commission is paid resources drained, either betting will stop or hyper inflation will happen. Not sure what effect it will have on the financial system but there are areas where benefits are clear Life Sciences. 2013 SAP AG or an SAP affiliate company. All rights reserved. 6
Hardware and Software Innovations Technology that allows the processing of massive quantities of real-time data in the main memory of the server to provide immediate results from analyses and transactions. HW Technology Innovations Software Technology Innovations Multi-core architecture Massive parallel scaling Cheap, commodity servers Row and column store Compression Column = Fast queries 5 30x ratio Huge data throughput performance Dramatic decline in price/performance Partitioning & parallelization No aggregate tables Analyze large data sets Complex computations Parallel processing Flexible modeling No data duplication 2013 SAP AG or an SAP affiliate company. All rights reserved. 7
Life Sciences Challenge Creating better drugs and treatment is becoming more of a mathematical and engineering challenge. Next generation sequencing is making genome data commodity but a lot more innovation should happen in algorithms and high performance computing to make the most of that. We need to get results faster but we also need to be able to ask deeper and broader questions, look at many more scenarios before making a decision and analyze data from multiple sources. We need to make it affordable. 2013 SAP AG or an SAP affiliate company. All rights reserved. 8
Increased Data Value Pathway A molecular pathway is a signaling cascade in a cell with proteins as key components Drug Compound designed to cure diseases METABOLOMICS PROTEOMICS TRANSCRIPTOMICS GENOMICS Today 3500 known diseases caused by DNA changes (expected to be 7000) Value of Information 2013 SAP AG or an SAP affiliate company. All rights reserved. 9
Genome Sequencing Sequencing Service/Lab e.g. Biologist Computational Pipeline e.g. Bioinformatician Computational Analysis e.g. Clinicians AND Researchers Sequencing Alignment Variant Calling Annotation and Analysis Patient Samples Raw DNA Reads Mapped Genome Discovered Variants Follow-up and Validation Find positions of reads within a reference genome Find statistically relevant deviations from reference genome Search for known and unknown patterns within reconstructed genome Sequencing hours Alignment and variant calling weeks 2013 SAP AG or an SAP affiliate company. All rights reserved. 10
Big Data in Life Sciences Research & Development Planning Procurement Production Quality Assurance Sales & Marketing Storage & Delivery Analysis of next generation sequencing data Analysis of LIMS and recipe data Sales & Operations Planning Margin Simulation with Raw Material Prices Real-time Analysis of process engineering data Real-time complaint and sales reporting Social Media Analytics Predictive analytics Customer Segmen-tation Acceleration High Throughput Screening Analysis of patents and documents Predictive Customer Segmen-tation Drug serialization Global batch tracebility 2013 SAP AG or an SAP affiliate company. All rights reserved. 11
Thank you Contact information: Andrei Grigoriev, MBA, MSc Sr. Director, Custom Development EMEA 1A Waterside CityWest Business Campus Dublin 24 Ireland andrei.grigoriev@sap.com 2013 SAP AG or an SAP affiliate company. All rights reserved.
Backup
Abstract Predictive analytics is about analyzing known facts to make predictions about unknown events. What if we knew absolutely everything that ever happened and every bit of that data was available instantaneously would that enable us to make more accurate predictions? With examples from Life Sciences and Genes Expressions research this presentation explores the impact of Big Data and In-Memory technologies on analytics and discuses the possibility of a new reality where accurate predictions is an affordable commodity available to everyone how will that change our world? 2013 SAP AG or an SAP affiliate company. All rights reserved. 14
Biography Andrei is Senior Director at SAP with expertise in big data, in-memory computing and analytics. He has over 16 years of diverse international career in development, product management and organizational leadership. Andrei frequently speaks at industry events and conferences on big data, business intelligence, analytics. He hosts annual SAP Life Sciences Innovations Forums. He lectured and presented at leading universities in the UK and Ireland. Andrei holds MBA and MSc degrees from University College Dublin. 2013 SAP AG or an SAP affiliate company. All rights reserved. 15
Disclaimer This presentation outlines our general product direction and should not be relied on in making a purchase decision. 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. 2013 SAP AG or an SAP affiliate company. All rights reserved. 16
2013 SAP AG or an SAP affiliate company. All rights reserved. No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP AG. The information contained herein may be changed without prior notice. Some software products marketed by SAP AG and its distributors contain proprietary software components of other software vendors. National product specifications may vary. These materials are provided by SAP AG and its affiliated companies ("SAP Group") for informational purposes only, without representation or warranty of any kind, and SAP Group shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP Group products and services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty. SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP AG in Germany and other countries. Please see http://www.sap.com/corporate-en/legal/copyright/index.epx#trademark for additional trademark information and notices. 2013 SAP AG or an SAP affiliate company. All rights reserved. 17
2013 SAP AG oder ein SAP-Konzernunternehmen. Alle Rechte vorbehalten. Weitergabe und Vervielfältigung dieser Publikation oder von Teilen daraus sind, zu welchem Zweck und in welcher Form auch immer, ohne die ausdrückliche schriftliche Genehmigung durch SAP AG nicht gestattet. In dieser Publikation enthaltene Informationen können ohne vorherige Ankündigung geändert werden. Einige der von der SAP AG und ihren Distributoren vermarkteten Softwareprodukte enthalten proprietäre Softwarekomponenten anderer Softwareanbieter. Produkte können länderspezifische Unterschiede aufweisen. Die vorliegenden Unterlagen werden von der SAP AG und ihren Konzernunternehmen ( SAP-Konzern ) bereitgestellt und dienen ausschließlich zu Informationszwecken. Der SAP-Konzern übernimmt keinerlei Haftung oder Gewährleistung für Fehler oder Unvollständigkeiten in dieser Publikation. Der SAP-Konzern steht lediglich für Produkte und Dienstleistungen nach der Maßgabe ein, die in der Vereinbarung über die jeweiligen Produkte und Dienstleistungen ausdrücklich geregelt ist. Keine der hierin enthaltenen Informationen ist als zusätzliche Garantie zu interpretieren. SAP und andere in diesem Dokument erwähnte Produkte und Dienstleistungen von SAP sowie die dazugehörigen Logos sind Marken oder eingetragene Marken der SAP AG in Deutschland und verschiedenen anderen Ländern weltweit. Weitere Hinweise und Informationen zum Markenrecht finden Sie unter http://www.sap.com/corporate-en/legal/copyright/index.epx#trademark. 2013 SAP AG or an SAP affiliate company. All rights reserved. 18