Herzlich Willkommen zum Webinar Data Insight Lab - Smart Data for Business & Rapidminer
Ihre Referenten Dr. Thorsten Stahn Data Science Daniel Vinke Data Analytics Strategy & Business Model Innovation Thomas Husung Sales Manager 2
Facts Managing Director Bernd Appel Founded 1997 100 % owned by Lufthansa 212Mio. total revenue (46% of which within the Lufthansa Group) > 1.100 employees Selected Verticals Automotive Travel, Transport & Logistics Manufacturing Offices Wolfsburg Norderstedt Wetzlar Hamburg Basel Köln Bern Miami Berlin Oldenburg Raunheim Energy Healthcare Media Travel > 180 Customers 3
LH IND Technology Stack Neue Technologien als Treiber von Innovation im Business Internet of Services After Sales CRM and e-commerce Social business collaboration e-health e-energy Industrie 4.0 Mobile Solutions Internet of things Big Data & Big Data Analytics 4
Agenda 1 Data Analytics Use-Cases 2 Analytics Offerering 3 Live: Rapidminer 5
Impact factors and potentials of data analytics Influencing trends New data sources and types Advanced Methodologies Business insights Revenue increase Cost reductions Business model innovation (evolutionary / disruptive) 6
Business value of the exemplary use case compared Smart Logistics Predictive Maintenance Real-time recommendations Fraud detection Process optimization Business Model Innovation Continued increase in product and service quality 7 28.01.2016 Webinar: Data Insight Lab - Smart Data for Business
Smart Logistics Data driven cargo monitoring and flight steering Challenge Improve efficiency of short term marketing activities through customer profiling Analyze customer behavior for cross-selling and up-selling potentials Support for margin steering decisions through booking forecasts Reduce impacts of deviations between booking and physics through pattern recognition Optimization of Container planning and steering through pattern recognition Data Sources Delivery data and order forms Customers booking history Transport variants rail, sea, air, ground Sensor data from volume, weight scanner Market data Outcome Process acceleration due to reduced weight and volume controls Increased load factor and more efficient steering through booking forecasts Increased customer base and customer satisfaction through precise targeting 8 28.01.2016 Webinar: Data Insight Lab - Smart Data for Business
Predictive Maintenance for vessel machinery Goals Proactive information of future maintenance needs Lower opportunity cost due to reduced times in shipyard Increase in spare parts storage efficiency Data Sources Error logs and messages Onboard sensor data Route schedules Weather and track history Maintenance reports Outcome Optimized spare parts storage worldwide Short times in dockyard Proactive maintenance and overhaul communication 9
Agenda 1 Data Analytics Use-Cases 2 Analytics Offerering 3 Live: Rapidminer 10
Our process model for a typical analytics lifecycle Structured and flexible approach based on years of experience in delivering mature data analytics services 11 28.01.2016 Webinar: Data Insight Lab - Smart Data for Business
Transition from agile experimentation to operative environment Operational usage Experimental Environment Ideation phase Use case iteration Agile workflow Fast wins and fast fails Statistical model creation Statistical model refinement Business model innovation Implemented statistical models in backend systems to enable usage in Mobile Solutions Dashboards Onboard Machinery Distributed on premise / cloud-based services User based action recommendation Focus on revenue generation / cost avoidance Compliance conformity (Process, Security, Governance) 12 28.01.2016 Webinar: Data Insight Lab - Smart Data for Business
Data Insight Lab 1 st offering: Proof of Concept Exemplary duration of a Proof of Concept project with a simple business case: 4-6 weeks Phase in Cycle Use Case Generation Data Acquisition Data Lake Creation Exploration Steps Business Target Definition Data submission Data Quality Assessment Data Lake Loading Data Exploration Prediction of events and results Final report of findings Use Case Innovation Workshop parallel parallel Final presentation and handover 13 28.01.2016 Webinar: Data Insight Lab - Smart Data for Business
Agenda 1 Data Analytics Use-Cases 2 Analytics Offerering 3 Live: Rapidminer 14
Rapid Miner Basic properties Integrated environment for data mining, machine learning and predictive analytics Extensive set of tools for various functionalities: Data integration from different sources (databases, csv, etc.) Data (pre-)processing: Filter, data cleaning Explorative Analyses Model building and evaluation Statistical inference Basic concept: combination of various operators to build complex processes for data analysis simple and intuitive entry into big data analytics Extensions for various applications, e.g. Text Mining, Time Series Analysis, scripting extensions for Python and R Server environments and big data analytics solutions for Hadoop 15
Showcase: Flight delay in the US, 2014/2015 Domestic flights in the US, 2014/2015 6.2 million data sets Features include Date Airline, airplane, flight number Origin & destinantion Distance Taxiing time Delay (at departure/arrival) Problem Prediction of delays 16 Kundenlogo hier platzieren
Was haben wir gezeigt? Vorgehensmodell für die Durchführung von erfolgreichen Big Data-/Smart Data-Projekten Data Insight Lab: einfache Verprobung von Use-Cases RapidMiner: Wie kann ich mit RapidMiner schnell und effizient Analysen erstellen! Präsentation kann heruntergeladen werden: https://lufthansa-industry-solutions.de/anmeldung-smart-data-for-business 17 Kundenlogo hier platzieren
Vielen Dank! Für stehen für Fragen und Anregungen jederzeit zur Verfügung! Ihr Kontakt: Thomas W. Husung Schützenwall 1 D 22844 Norderstedt Telefon +49 40 5070 60700 Mobile +49 +49 151 58922602 email thomas.husung@lhind.dlh.de Internet http://www.lufthansa-industry-solutions.com Dr. Thorsten Stahn Data Science Dr. Daniel Vinke Data Analytics Strategy & Business Model Innovation Thomas Husung Sales Manager 18 Kundenlogo hier platzieren