Leverage the asset of big data



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Leverage the asset of big data Arnd Feye Product Manager Transcat PLM GmbH GPDIS_2014.ppt 1

What is BIG DATA? Big data is the synonym for the analysis of a huge amount of data from various sources in high performance with the aim of getting more economic benefit out of it. The data sets are becoming so large and complex that it gets difficult to process them using on-hand data management tools or traditional data processing applications. Big data, big value huge opportunity Source: Reuters GPDIS_2014.ppt 2

What is BIG DATA? The first big data project: 1880 United States Census More than 50 million people have been asked for Demographic data, e.g. age, gender Mortality, civil status, birthplace of the parents Tax data and infrastructure The analysis and processing of the data took seven years Herman Hollerith was ordered to develop a tabulating machine for the Census in 1890 With 43 Hollerith machines and 500 employees the Census of 1890 was analyzed in two years GPDIS_2014.ppt 3

Big data elements Number of records and files Yottabytes Zettabytes Exabytes Petabytes Terabytes Foreign data (Web, etc.) Company data structured, semi-structured, not structured Engineering data / Text / Presentations / Videos / Pictures / Tweets Data generation in high performance Data transfer in real time Milliseconds / Seconds / Minutes / Hours Recognize correlations, consequences, patterns, forecasting Data mining / Text mining / Image analysis / Visualization / Dashboards GPDIS_2014.ppt 4

It may (but not always) involve terabytes to petabytes (and beyond) of data Challenges: Companies have difficulties identifying the right data and determining how to best use it Business Information Public & Commercial Data Videos CAD Models (3D & 2D) Change management documents Bill of materials Operational Engineering Data Test & QA results Economic Data Images Work instructions Simulation & manufacturing data Twitter Contacts Facebook Social Media Data Reports Enterprise Data LinkedIn Communities Email GPDIS_2014.ppt 5

The data comes from many resources Much data today is not natively in structured format The ownership of data is fragmented across the organization Challenges: Transforming such content into a structured format for later analysis is a major challenge GPDIS_2014.ppt 6

Mass of data is not mandatorily a problem if you have enough time for the analysis. But do you really have it? Challenges: Quicker analysis (real-time processing) Short response times (concurrent queries) Analysis of different information types (numbers, text, images) GPDIS_2014.ppt 7

Transformation of data in valuable information Uncover hidden patterns, unknown correlations and other useful information Challenges: Selecting the right data out of all internal and external sources Veracity and quality of data GPDIS_2014.ppt 8

Big data benefits Can you estimate the huge value of all the data in your company? Opportunities to capitalize on exist in numerous corners of a large and global company Transcat s focus is mostly in Engineering and Manufacturing (Source: Survey of TCS 2013) GPDIS_2014.ppt 9

Big data benefits Greatest benefits for Engineering and Manufacturing Product quality / Defect tracking Better detection of defects in design and manufacturing Monitoring of product data quality Boost quality Reducing unnecessary iterations in product development, e.g. design time, design improvements by defining company standards and embedding industry standards Drive efficiency across the extended enterprise Increasing the efficiency of engineering and manufacturing processes Integration of datasets from multiple systems to enable effective and consistent collaboration Supply planning and supplier performance data Improve relationship with suppliers Better contract negotiations GPDIS_2014.ppt 10

Transcat Company Profile More than 2,000 global customers 200+ employees at 7 locations Founded in 1987 Transcat PLM DS Business Partner Germany & Austria Transcat Software Software Development Division Germany & Slovakia June 2012: Management buy out from Dassault Systèmes GPDIS_2014.ppt 11

Transcat Software Offering Process Assurance, Methodology and Compliance XFileV5 Analyze, Identify, Structure xcompare Compare, Validate, Document myplm Application Management, MultiCAD Q-Checker Methodology, Quality, MBD Q-PLM Automation, PDM Q-Monitor Quality Metrics Lite3D portfolio neutral formats: Visualization, Data exchange, Long-term archiving, MBD GPDIS_2014.ppt 12

Analyze, Identify, Structure Is the data consistent and ready for collaboration and re-use? Goal Interchanging consistent set of documents From unstructured to structured files Tasks Root Documents need to be found Links need to be verified (broken & ghost links) CATIA V5 structure is complex Consistent data exchange requires complete package GPDIS_2014.ppt 13

XFileV5 Consistent CATIA V5 data Managing and exchanging CATIA V5 data Development supported by German Automotive OEM s and Dassault Systèmes Features: Identification of root documents Detection of links to CATIA and non CATIA data Listing of missing documents Have components been renamed? Without loading the files in CATIA Interactive and batch Too little or too much data sent Costly analysis sending and receiving data Root- Documents Linked Documents Structure Information GPDIS_2014.ppt 14

Can you tell me the difference? It s not about the overall size of the data; it s about timely accessing relevant modifications which could be very small Different process knowledge Cultural differences Increased model complexity No tools Language barriers Number of revisions GPDIS_2014.ppt 15

xcompare Model Validation Design Change Validation and Documentation Clearly communicate feature and geometry changes between OEM/suppliers, partners and downstream Manufacturing and Simulation Validation Easy identification of shape changes between the design models and manufacturing/simulation models Data translation validation Avoid unacceptable differences caused by translation * * Manufacturing Simulation GPDIS_2014.ppt 16

xcompare benefits Saving time with comparing models Increase reliability xcompare ensures that ALL modifications are found. No risk of human errors Fulfill legal or company requirements regarding documentation Customer examples V5 / V5: Aisin Ai / Drawing Comparison, Dräxlmaier / Tolerances - FT&A V5 / JT: BMW, Daimler, Volvo Cars V5 / SMG (3DVia Composer): Boeing, Saab Aerospace GPDIS_2014.ppt 17

Application Management, MultiCAD Today... CAx products have to be customized after installation Each CAD version and add-on application need to be launched and supported separately Lots of icons on the user s desktop With myplm Well organized user interface in a node-structured tree view Environment selection for different OEMs GM, Daimler, Airbus, Porsche, Embedded license selection Selection of Add-ons Administration of user permissions Easy to use for end user Flexible and transparent administration One tool to manage all CAx products GPDIS_2014.ppt 18

myplm Support of MultiCAD environment CATIA V5 & V6 Creo Siemens NX Different license configurations for CATIA V5 CATIA V6 server selection Siemens NX Easier administration with Add-ons License-Check, License-Statistic, License-Management Active Directory Connect, Offline-Sync Software distribution GPDIS_2014.ppt 19

myplm benefits One tool to manage all CAx products Global administration of user authorizations for different CAx applications Global definition for all CAx installations Simple administration of myplm to manage all CAx installations myplm global solution for PLM Application Management GPDIS_2014.ppt 20

myplm Customer examples Dr. Ing. h. c. F. Porsche AG GPDIS_2014.ppt 21

Data Quality in the process Reducing unnecessary iterations in product development I am working in line with our design rules Electrical Design FEA Designer Mold Design Time Repair & Communication Time Saved Step Conversion Suppliers GPDIS_2014.ppt 22

Boost your quality Establish company and industry standards Ensure compliance with these standards Consistently validate the contribution of the extended user community Provide easy visibility of the product information to any user GPDIS_2014.ppt 23

Overview Q-Checker PLM Integration Interactive Use Monitoring PLM Integration Launch from CATIA Launch from PDM Batch run e.g. over night PDM Trigger Check In, Promote Data Exchange Results in CATIA Results in Q-Monitor Results in PDM Attached report in PDM GPDIS_2014.ppt 24

Q-Checker customers NOKIA Dr. Ing. h. c. F. Porsche AG GPDIS_2014.ppt 25

3D data everywhere Provide easy visibility of the product information to any user with JT as process format PDM ERP Supplier Service JT NC/CNC GPDIS_2014.ppt 26

Lite3D Industry requires a lightweight, neutral 3D file format Reasons: cost, IP protection, independency from vendors, less specialist knowledge Requirements for the use of neutral 3D data: Long term 3D archiving (Model based Definition) Data exchange, downstream reuse, mobile devices Corporate-wide viewing of 3D data GPDIS_2014.ppt 27

Lite3D Platform Viewing & Navigation Validation Future topics: Search Process Compliance Data Simplification & IP Protection GPDIS_2014.ppt 28

Summary Increase of data quality and product quality Make these high quality data available to all users (internal and external) Support data re-use and collaboration Achieve a higher level of efficiency in company and downstream processes GPDIS_2014.ppt 29

Thank you Arnd Feye Product Manager Transcat PLM GmbH afeye@transcat-plm.com GPDIS_2014.ppt 30