Big Data & Analytics Heute & Morgen

Transcription

1 Big Data & Analytics Heute & Morgen Dipl.Ing.Wolfgang Nimführ Business Development Executive Big Data Analytics Watson Ambassador IBM Analytics Group Europe 2015 IBM Corporation

2 The World of Big Data & Analytics is rapidly expanding Untapped Resource Empower Everyone Increased Value 1

3 Velocity is the game changer What is your connected car?. It s not just how fast data is produced or changed, but the speed at which it must be received, understood, and processed 2 2

4 Today s customers live out loud and expect Personalization PERSONALIZATION 3

5 Paradigm shifts enabled by Big Data & Analytics BIG DATA & ANALYTICS APPROACH TRADITIONAL APPROACH BIG DATA & ANALYTICS APPROACH TRADITIONAL APPROACH All available information Analyzed information All available information analyzed Small amount of car efully or ganized infor mation Lar ge amount of messy infor mation Analyze all information Analyze small subsets of information Leverage more of the data being captured BIG DATA & ANALYTICS APPROACH TRADITIONAL APPROACH Analyze information as is, cleanse as needed Carefully cleanse information before any analysis Reduce effort required to leverage data BIG DATA & ANALYTICS APPROACH TRADITIONAL APPROACH Data Data Hypothesis Question Exploration Analysis Data Repository Analysis Insight Insight Answer Data Correlation Insight 4 Explore all data and identify correlations Start w ith hypothesis and test against selected data Data leads the way and sometimes correlations are good enough Analyze data in motion as it s generated, in real-time Analyze data after it s been processed and landed in a w arehouse or mart Leverage data as it is captured

6 IBM Analytics enables Decisions at Point of Impact More People Big Data & Analytics New Dev Styles Emerging How can Focus youon generate Business more Business value Value Cognitive Watson Tell me the best course of action? Prescriptive Personalized How can I achieve the best outcome? Predictive Forecasting What could happen? Descriptive Reporting What has happened? Integrate and analyze ALL DATA of ANY FORMAT Data Media Content Machine Social 5 Internal & External Data 2015 IBM Corporation

7 The Need for Big Data & Analytics is everywhere Attract, grow, retain customers Create new business models Transform financial processes Manage risk Optimize operations and reduce fraud Improve IT economics Acquisition Personalization Profitability Retention Data-driven Products and Services Non-traditional Partnerships Mass Experimentation Financial Performance Forecasting & Planning Operational Performance Financial Risk Operational Risk and Compliance Enterprise Risk Management Global Operations Infrastructure & Asset Efficiency Fraud Security Harness and Analyze all Data Govern All Data Optimize Analytic Workloads Spectrum of Analytics Six Key Business Imperatives Span the Enterprise 6 6

8 IBM Analytics architecture to leverage all Data has emerged All Data Big Data & Analytics Strategy, Integration & Managed Services New / Enhanced Applications Machine/Sensor Policy Broker Claims Social Media Location Operational data zone Big Data & Analytics Platform Real-time Data Processing & Analytics Landing, Exploration and Archive data zone Deep Analytics data zone EDW and data mart zone Information Integration & Governance What action should I take? Decision management What is happening? Discovery and exploration What did I learn, what s best? Cognitive What could happen? Predictive analytics and modeling Why did it happen? Reporting and analysis Better and Indiv idual Pricing Enhanced 360 Degree View Claims Analy tics & Real Time Fraud Detection Batch or Real Time Next Best Action Litigation & Other 3 rd party Big Data & Analytics Infrastructure & Cloud Inf ormation Sharing & Transparency IBM Corporation

9 Landing, Exploration and Archive Data IBM Hadoop Open Data Platform with Apache Hadoop 8

10 Realtime Processing & Analyics Zone IBM Streams Predictive Mining in Microseconds & Statistics Advanced Mathematical Models Natural Language Processing Acoustic Geospatial Entities & Relationships Image & Video 9

11 Data Warehouse, Data Mart and Deep Analytics Zone IBM PureData System for Analytics Purpose-built analytics appliance Integrated database, server and storage Standard interfaces Low total cost of ownership What makes it different? Speed x faster than traditional custom systems 1 Simplicity - minimal administration and tuning Scalability - petabyte+ scale user data capacity Smart - high performance, advanced analytics 1 Based on IBM customers' reported results. "Traditional custom systems" refers to systems that are not professionally pre-built, pre-tested and optimized. Individual results may vary. 10

12 Big Data & Analytics goes Cloud & Apps 11

13 ASTRON Netherlands Challenge Develop a resource- and energy-efficient way for astronomers to analyze unprecedented amounts of unstructured data and gain insight into major astronomical questions, like to explore the origin of the Universe Solution A streaming analytics platform running on energyefficient exascale supercomputing technology. Benefits Accelerates identification of relevant images and data by approximately 99 percent making info. available to astronomers in minutes vs. days Streaming analytics platform facilitates daily analysis of over one exabyte of data; twice the amount generated by daily Internet traffic Integrates data from 3,000+ dishes and antennas 12 12

14 Dublin City Council Challenge Improve public transport services by providing dynamic, near-real-time views to better gauge if its 1,000 buses is operating on time. Solution Data from GPS-equipped buses displays the near-real-time position of them allowing controllers to locate delays and identify root causes. Predictive analytics take into account speed, traffic flow and other factors to generate up-to-date bus arrival and transit times estimates. Benefits Dynamic, near-real-time view of bus activity ensures they run on time and riders receive excellent service. Controllers can more quickly identify early stage congestion and mitigate impact Can effectively manage resources and optimize bus routes which saves energy and reduces pollution 13 13

15 NYPD Challenge Integrated crime data in real time in order to dramatically reduce crime rates Solution A real-time Crime Information Warehouse that makes NYPD more proactive and effective in fighting crime. Benefits Support for proactive policing tactics since crime trends can be seen as they are happening Faster and higher rate of case-closing through efficient crime-related data analysis Improved data integrity and speed of data access to optimize decision making Improved officer safety through better riskassessment capabilities 14 14

16 City of Toulouse Challenge Find new ways to capture its citizens concerns and use analytics to identify and prioritize urgent issues as well as understand how messages are resonating Solution A social data analytics solution to analyze citizens needs posted on public social media, taking into account factors including context, content and sentiment. Benefits Collected and analyzed more than 1.6 million comments enabling the city to identify issues with precision. Accelerated its average response time to roadmaintenance issues by 93 percent, from 15 days to 1 day. Able to identify and address residents misconceptions and concerns and gain support of a revitalization project

17 Honda Challenge Improve product quality while minimizing money and time by conducting real-time predictive maintenance Solution Using SPSS software, Honda is able to employ an IBM predictive maintenance and quality solution that leverages powerful analytics and data integration Benefits Provides real-time predictive maintenance so that data streamed directly from the vehicle can be analyzed for performance Able to analyze and predict warranty issues which will help prevent future related problems Improved asset productivity and process quality 16 16

18 Wissenschaftliches Institut der AOK Challenge Collect and analyze clinical data from millions of patients, 2,000 hospitals, 140,000 mobile medics and 20,000 pharmacies to understand healthcare trends Solution An advanced business analytics platform to understand healthcare trends, including when and why people get sick, which treatment pathways work best, which medications are prescribed, how illness affects productivity and more. Benefits Shortened analysis times from over two hours to a few seconds; over a 99 percent improvement Enabled the processing of more complex analytical tasks, from formally defined analysis applications to ad hoc queries Expanded the institute s reach in multidisciplinary, geographically broad studies, allowing it to analyze much larger data volumes 17 17

19 TerraEchos uses Big Data with Covert Intelligence and Surveillance Sensor Systems Capabilities InfoSphere Streams Need Deployed security surveillance system to detect, classify, locate, and track potential threats at highly sensitive national lab Benefits Reduces time to capture and analyze 275MB of acoustic data from hours to one-fourteenth of a second Enables analysis of real-time data from different types of sensors and 1,024 individual channels to support extended perimeter security Enables a faster and more intelligent response to any threat 18 18

20 Vestas optimizes capital investments based on 2.5 Petabytes of information Need Model the weather to optimize placement of turbines, maximizing power generation and longevity Benefits Reduce time required to identify placement of turbine from weeks to hours Reduces IT footprint and costs, and decreases energy consumption by 40 % -- while increasing computational power Incorporate 2.5 PB of structured and semistructured information flows. Data volume expected to grow to 6 PB May 2015 Con.ect Informunity Home IBM Corporation

21 Memorial Sloan-Kettering Cancer Center Challenge Transform the quality and speed of care delivered to patients through individualized, evidence based medicine using cognitive computing Solution IBM Watson applies big data and analytics and cognitive computing by processing, analyzing and interpreting complex clinical information to improve health care quality and efficiency Benefits Provides individualized treatment options through insights gleaned from cognitive systems A first of-its-kind Watson cloud based advisor identifies individualized treatment options for cancer patients Oncologists located anywhere can remotely access detailed treatment options 20 20

22 University of Ontario Institute of Technology (UOIT) uses big data to improve quality of care for neonatal babies Need Performing real-time analytics using physiological data from neonatal babies Continuously correlates data from medical monitors to detect subtle changes and alert hospital staff sooner Early warning gives caregivers the ability to proactively deal with complications Benefits Detecting life threatening conditions 24 hours sooner than symptoms exhibited Lower morbidity and improved patient care 21 21

23 IBM Watson Wealth Management 22

24 Video: Watson Anayltics IBM Watson Analytics 23

25 25 to 29 October, Las Vegas ibm.com/software/de/events/get-insight/ ibm.com/software/events/insight/ 24

26 ibmbigdatahub.com bigdatauniversity.com ibm.com/analytics/us/en/technology/spark 25

27 See You at the IBM Booth for Q&A Meet You at Round Table #1 ibmwatson.com ibmbigdatahub.com WatsonAnalytics.com ibm.com/bigdata&analytics Dipl.Ing. Wolfgang Nimführ Business Development Executive Big Data Analytics & Watson Foundation IBM Analytics Group IBM Austria Obere Donaustraße 95 A1020 Vienna Tel