Herzlich Willkommen. zum Webinar. Data Insight Lab - Smart Data for Business & RapidMiner

Transcription

1 Herzlich Willkommen zum Webinar Data Insight Lab - Smart Data for Business & RapidMiner

2 Ihre Referenten Thomas Husung Sales Manager Dr. Daniel Vinke Data Analytics Strategy & Business Model Innovation Dr. Thorsten Stahn Data Science 2

3 Webinar-Agenda: Data Insight Lab & Rapidminer Data Analytics Use-Cases Prooven methodology & Data Insight Lab Live: Rapidminer 3

4 Facts Managing Director Bernd Appel Founded % owned by Lufthansa 212 Mio. total revenue (46% of which within the Lufthansa Group) > 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 4

5 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 5

6 Agenda Data Analytics Use-Cases Prooven methodology & Data Insight Lab Live: RapidMiner 6

7 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) 7 12/2/2015 Webinar: Data Insight Lab - Smart Data for Business

8 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 Webinar: Data Insight Lab - Smart Data for Business

9 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 Webinar: Data Insight Lab - Smart Data for Business

10 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 10

11 Real-time recommendations in ecommerce Systems Customer optimized product placements and upselling Goals Best end user experience with perfect match offerings Reduced search times for customer Individual packages boosting up- and cross-selling Data Sources User profiles from CRM Click-Paths Social Media Trends Media Events (e.g. TV-Spot lift) Outcome Increased spending's per persons Finer user segmentation 11

12 Agenda Data Analytics Use-Cases Prooven methodology & Data Insight Lab Live: RapidMiner 12

13 Visualization Data Integration Our process model for a typical analytics lifecycle Structured and flexible approach based on years of experience in delivering mature data analytics services Business Analysis Digital Business Strategy Smart Data Strategy Use Case Generation & Valuation Data Management Implementation Data Science Model building Process Improvement Webinar: Data Insight Lab - Smart Data for Business

14 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) Webinar: Data Insight Lab - Smart Data for Business

15 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 Webinar: Data Insight Lab - Smart Data for Business

16 Agenda Data Analytics Use-Cases Prooven methodology & Data Insight Lab Live: RapidMiner 16

17 RapidMiner 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 Data Insight Lab Smart Data for Business

18 Showcase: Flight delay in the US, 2014/2015 Domestic flights in the US, 2014/ million data sets Features include Date Airline, airplane, flight number Origin & destinantion Distance Taxiing time Delay (at departure/arrival) Problem Prediction of delays Data Insight Lab Smart Data for Business

19 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: 19

20 Vielen Dank! Für stehen für Fragen und Anregungen jederzeit zur Verfügung! Ihr Kontakt: Thomas W. Husung Schützenwall 1 D Norderstedt Telefon Mobile thomas.husung@lhind.dlh.de Internet Dr. Thorsten Stahn Data Science Dr. Daniel Vinke Data Analytics Strategy & Business Model Innovation Thomas Husung Sales Manager Wir laden Sie herzlich ein: Nächstes Smart Data Webinar: Ende Januar