Big Data jako součást našeho života. Zdenek Panec: June, 2015

Transcription

1 Big Data jako součást našeho života Zdenek Panec: June, 2015

3 Big Data Talk Track short and to the point What The explosion in data volume, variety, and velocity is called Big Data and if you can harness it, it will revolutionize the way you do business. Why Big Data isn t just one more technology initiative. In fact, Big Data isn t a technology initiative at all; it s a business program that requires technical savvy The (effective) use of big data will become a key basis of competition and growth for individual firms. Big Data means delivering solutions that take a business to the next level of success 2013 SAP AG or an SAP affiliate company. All rights reserved. 3

4 Big Data now an executive level responsibility Use insights from big data to support both tactical operations and strategic decision making (to include planning and investment) Become more sophisticated in the analysis and use of the data Identify new sources or new combinations of data that can extend the value of existing business processes Identify new use case previously not possible with old technology and information that can revolutionize business processes 2013 SAP AG or an SAP affiliate company. All rights reserved. 4

5 Primary Big Data Scenarios Machine Data Insight Omnichannel Data Insight M2M Sensors Unstructured Multi-media Real-time Mobile Processes IoT Assets Providing insight from machines, assets, and devices for better real-time decisions, predictions, and operational performance Social Enterprise Data Voluminous Data Geospatial Providing insight from high volume and high variety data for real-time analytics & actionable intelligence

6 Machine Data Insight Predictive Maintenance Location Based Services Remote Asset Management Distributed Process Monitoring Insight from detailed data about physical assets Integrated and connected in real-time Predict and act with awareness of condition and environment Lower Costs New and Improved Services New Business Models 6

7 Omnichannel Data Insight Unstructured Data Insight & Analytics Simulation & Prediction Performance Optimization Insight from many data sources and types Integrated and connected in real-time with enterprise data Predict, forecast, and optimize for greater insights & performance Maximize Business & IT Benefits Optimize Organizational Performance Increase Sales & Improve Customer Service 7

8 CHANCE BIG DATA RISK

9 CHANCE BIG DATA RISK FITNESS

10 Soccer Analysis Movement Tracking Through Sports Sensoric Enhance Individuals performances Move up Leagues Strengthen Teams Challenges E.g. soccer video tracking only takes place in a manual way which means its not very valid and slow Solution Scenario Providing sensors for athlete`s equipment (e.g. shin padsor shoe sensors) can offer an automized pattern analysis of digitalized video tracking This information advances an strategic analysis of all kinds of athletic performances (basketball, soccer ) Benefits From now on clubs are able to analyze, plan and enhance the athletes` performances to move up leagues and Make individuals become more successful 2013 SAP AG or an SAP affiliate company. All rights reserved. 10

14 FITNESS

15 LIFE SCIENCE FITNESS

16 Health Care Optimization Unlock new Healthcare Possibilities with Real-Time Accelerate costand data-intensive processes and lower overall costs Increase revenue with new business models Detect fraud in the healthcare industry Challenges Healthcare is a very information-driven industry which has to deal with masses of structured and unstructured data. Solution Scenario Access to information in real-time allows new possibilities Analyze and interpret genome sequencing data in minutes Identify responders quicker and provide targeted treatment Lower costs by personalizing medicine and prevention Detect cases of fraud in payoff of medicines, case services, hospital services Lower turn-around-time for experiments while giving much deeper insights Identify responders quicker and provide targeted treatment to reduce costs of clinical trials and improve chances of drug approval 2013 SAP AG or an SAP affiliate company. All rights reserved. 16

17 NCT: Gaining Medical Insights and Enhancing Care for Cancer Patients with SAP HANA Organization National Center for Tumor Diseases (NCT) Heidelberg, part of the German Cancer Research Center and the Heidelberg University Hospital Location Heidelberg, Germany Industry Higher education and research Products and Services Patient care; cancer research and prevention Web Site Objectives Start treatment of cancer patients by establishing a protocol on day one that is tailored to their specific genetic profile Generate ideas for future trials based on analysis of patient attributes, including genetic variations and mutations Extract biomarker data from patient evaluation letters from physicians Benefits Real-time identification of cancer types to enable the grouping of patients by relevant characteristics Insight into treatment response and outcome probability by diagnoses Detailed view of previous treatment activities, including, for example, diagnosis, chemotherapy, surgery, and home visits Real-time visibility into current and upcoming clinical trials to match patients for participation based on profile data and treatment needs Faster diagnosis More than 10,000 new patients seen each year since 2011 Greater visibility Detailed view of patient history extracted from both structured and unstructured data sources High data volume 150,000 data sets in combination with 3.6 million data points successfully analyzed during a proof-ofconcept test Faster matching Quickly match patients for participation in the right clinical studies 2013 SAP AG or an SAP affiliate company. All rights reserved. CMP27981 (13/11) 17

18 LIFE SCIENCE

19 SECURITY LIFE SCIENCE

20 SECURITY

21 SECURITY MOBILITY

22 Holistic Car Diagnostics Combine Different Sources to Increase Efficiency Handle data from various sources in real-time Optimize BOM and production processes quicker Increase customer satisfaction Challenges The time from the first occurrence of a technical issue or negative feedback to the start of reaction by the manufacturer is too long Available data sources (e.g. internet feedback) are not used efficiently, due to the lack of technologies to process unstructured data Solution Scenario Bring together data about car models and their divers Technical diagnostic logs from the car (directly or via cable) Unstructured comments from web forums and Data from a common error database Generation of value out of this data by Increasing the customer satisfaction and service quality Optimizing the BOM and production processes Reducing the time to identify new issues 2013 SAP AG or an SAP affiliate company. All rights reserved. 22

23 DRIVERS RACE PAST RIVALS FUELED BY BIG DATA 1000 car sensors in real-time 30,000 bytes per second 23

24 McLaren

25 BIG DATA DIVERTS DRIVERS BEFORE FATAL ACCIDENTS HAPPEN 40 billion events per year analyzed Up to 3% reduction fuel & tire costs Up to 20 % extended tire lifespan 2013 SAP AG or an SAP affiliate company. All rights reserved

26 MOBILITY

27 Take responsibility together

28 28 SAP transforms both Businesses and IT Reduce waste & fraud in government fund <2 min for detecting 100,000 names over 90M records Identify cancer DNA variants for treatment 216x faster results: 3 days 20 minutes Improve diagnostic through pattern detection 300M records; analysis in 2-10 seconds Predict customer purchase sentiment Seasonality Analysis in 5 seconds Cost Reduction, Tire Life Extension 40 billion events per year analyzed Customer Insight Detect critical signals from 100 PBs of data in ebay EDW Performance Insight of Customer Behavior Improved ROI of campaigns by targeting the right audience Sharpen marketing effectiveness 56x faster reporting: micro-targeted customer offers Connected Assets 22,000 sensors ~3.15B records per year Launch new products or markets Campaign Take-up rates of between 3% and 5% - up from 1% Remote roadside diagnostics in real-time Analyze 15 years data in seconds Predictive Quality Assurance Based on sensor data from equipment Sports Analytics High Concurrency, Consumer Interaction E-Business Increased page views per visit by 30% and click-through rate on recommended products by 500%

29 SAP makes Big Data real SAP HANA Platform Big Data Analytics & Apps Big Data Services Real-time Real World Real Results

30 SAP HANA is a new modern platform that helps transform companies that seek agility and simplicity Leverage Every Opportunity from Any Device SAP HANA PLATFORM Database & Advanced Data Processing Services Application Platform Services Integration & Data Virtualization Services Mission-Critical Deployment Services (On Premise, Cloud, Hybrid) Process Any Data Structured Data Social Network Text Data Geospatial Data Machine Data RFID 2013 SAP AG or an SAP affiliate company. All rights reserved. 30

31 31 H2 The Power of SAP HANA and Hadoop Big Data Platform Big Data Analytics & Apps Big Data Science Real Time Real Value Real Results SAP: Real-time, with real results

32 For More Information Contact information: Zdenek Panec 32

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