High-Tech R&D -- Drowning in data but starving for information

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This is a slideset of a webinar held by Dr. Dirk Ortloff from Process Relations. The webinar elaborated on the challenges and solutions addressing the problem of effectively managing the growing …

This is a slideset of a webinar held by Dr. Dirk Ortloff from Process Relations. The webinar elaborated on the challenges and solutions addressing the problem of effectively managing the growing amounts of digital process development data. He introduced approaches that address the “heap” challenge. It has been explained how new software tools and methodologies can be leveraged to convert raw data from diverse source into usable information and especially how to recreate the context the data is generated in.

The metrology capabilities of today’s high-tech R&D generate an increasing amount of digital data. Subsequently process engineers are flooded with this - partly structured but mostly unstructured - data. To organize, manage and evaluate this data requires a major effort. Engineers spent a significant portion (20% – 35%) of their time just administering this data rather than evaluating it.

Using the tools and methodologies introduced in this webinar results in structured and context aware information which can reduce the amount of repeated experiments and speed up developments.

The recording of the webinar can be downloaded from: http://www.process-relations.com/english/services/publications-mainmenu-90/webinars/323-free-webinar-high-tech-rad-drowning-in-data-but-starving-for-information

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  • 1. Webinar:High-Tech R&D: Drowning in data but starvingfor informationDortmund, 9th of January 2013
  • 2. Agenda Brief Company introduction Definitions Situation Today / Problem Requirements Converting the data and using the information SummaryCONFIDENTIAL Slide 2Process Relations GmbH
  • 3. About Process Relations GmbHDortmund, 9th of January 2013
  • 4. Process Relations’ Mission…is to enable you to… Expedite your R&D with flexible Software solutions  Next generation recipe and DoE management  Virtual manufacturing data management  Automated data collection from various sources  Experimental data management, analysis and extractionWe deliver the easy to use, unique, world class Process Development Execution System (PDES) and consulting services.CONFIDENTIAL Slide 4Process Relations GmbH
  • 5. History and Key Milestones2000 2004 2008 2010Bosch XperiDesk EnteringProject Launched new markets 2002 2007 2009 2011 CK Process First First Project Relations XperiDesk Marque Founded Customers Customer CONFIDENTIAL Slide 5 Process Relations GmbH
  • 6. DefinitionsDortmund, 9th of January 2013
  • 7. Definitions Data: symbols Data is raw. It simply exists and has no significance beyond its existence (in and of itself). It can exist in any form, usable or not. It does not have meaning of itself. In computer parlance, a spreadsheet generally starts out by holding data. Information: data that are processed to be useful; provides answers to "who", "what", "where", and "when" questions. Information is Data that has been given meaning by way of relational connection. Knowledge: application of Data and Information; answers "how" questions. Knowledge is the appropriate collection of information, such that its intent is to be useful.CONFIDENTIAL Slide 7Process Relations GmbH Following the DIKW model: http://www.systems-thinking.org/dikw/dikw.htm
  • 8. High-Tech R&D – Yesterday Decisions Evaluation Knowledge Behavior (Interpretation) Engineers Dependencies / Patterns work time Relations spent Data and ParametersCONFIDENTIAL Slide 8Process Relations GmbH
  • 9. Situation Today / ProblemDortmund, 9th of January 2013
  • 10. Some citations “Because most organizations seem to be drowning in data but starving for information, there is a growing need for enterprise manufacturing intelligence software” ARC Group “Nevertheless, several studies in the past five years point to significant ROI for improved access to information. ROI figures range from 38%to over 600%, depending on whether the new information or content management system is an incremental improvement over an existing one or is an entirely new system replacing previously manual processes.” IDCCONFIDENTIAL Slide 10Process Relations GmbH
  • 11. CONFIDENTIAL Reused from: http://blog.mindjet.com/wp-content/uploads/2011/11/Drowing- Slide 11Process Relations GmbH in-Data-Infographic.jpg
  • 12. The challenges 25% development projects reach the market of those 66% fail their original expectations 20% of projects take too long and miss their market window 35% of companies experience runaway projects 40% of R&D experiments are repeatedCONFIDENTIAL Source: IDC “Accelerating Science-Led Innovation for Slide 12Process Relations GmbH Competitive Advantage” Feb. 2012
  • 13. Few problems in information management? Excel files on file servers or desktops contain important data and are not sufficiently searchable Result files are distributed / duplicated in different versions on different systems Link between the data is not sufficiently visible (only in file system structure) Only one-dimensional sorting / searching criteriaCONFIDENTIAL Slide 13Process Relations GmbH
  • 14. Typical development challenges “Once we had a result picture …” What was the exact context of that experiment? Which results were achieved, what images made? Which was the latest data set? XY left and his lab book was unreadable to anyone but him How long does it take your engineers to recover development data with context from 18 months ago?CONFIDENTIAL Slide 14Process Relations GmbH
  • 15. Cost increase in R&D effortsCONFIDENTIAL Slide 15Process Relations GmbH
  • 16. What it boils down to: “Fact: 80 percent of the digitized information in a typical company is in the form of unstructured data such as documents, e-mail, and images. “1 “Fact: The amount of unstructured content in a typical business grows by 50 percent every year. “1CONFIDENTIAL 1: Oracle: Information Management – Get control of your Information Slide 16Process Relations GmbH Picture is property of: www.yakidoo.com
  • 17. Current Situation andRequirementsDortmund, 9th of January 2013
  • 18. Current situation Distributed, untraceable and undiscoverable R&D results Limited formalized data available that is not interlinked Sometimes usage of old or retired data Incomplete documentation Lack of access to results and timeline of former projects Access and transfer protection difficult Unmanaged data  ↑risk + ↑costs of projects„Great ideas get lost in the sea of incomplete documentation“(W. Wong – Editor Electronic Design Journal)CONFIDENTIAL Slide 18Process Relations GmbH
  • 19. Semiconductor R&D spending,00 US$ / year (in 2007)CONFIDENTIAL Slide 19Process Relations GmbH
  • 20. Wasted for manual data management & search4.500.000.000,00 US$ / yearCONFIDENTIAL Slide 20Process Relations GmbH
  • 21. Meet Mr. Lumberjack … Lumberjack is feverishly trying to fell a tree Using a dull saw Therefore going no where Bystander points out the facts Reply: too busy sawing to sharpen my sawCONFIDENTIAL Slide 21Process Relations GmbH
  • 22. Requirements Repository of former and current R&D and manufacturing data / information / knowledge Full audit trail for all changes & complete history Possibilities to manage the lifecycle of every item Easy access and multi-dimensional retrieval possibilities Low effort documentation approach to relieve engineers from tedious tasks Access protection on per-item level Defined way to document R&D work  Centralized, platform independent, structured and comprehensive data repository for structured & unstructured dataCONFIDENTIAL Slide 22Process Relations GmbH
  • 23. Converting the data and usingthe informationDortmund, 9th of January 2013
  • 24. Comprehensive Capturing of Developed IP All data is absorbed in the centralized database (enterprise information platform)  Nothing is forgotten; history is kept in versions  compliance fullfillment  Everything is available to anybody with authorized access (blackboxing possible) All information is searchable  Instantaneous, formalized results  Only relevant data retrieved  Extensive relationships maintained between the stored data  full contextCONFIDENTIAL Slide 24Process Relations GmbH
  • 25. – Covering the Complete Development CycleCONFIDENTIAL Slide 25Process Relations GmbH
  • 26. – Covering the Complete Development CycleCONFIDENTIAL Slide 26Process Relations GmbH
  • 27. – Filling with experimental dataCONFIDENTIAL Slide 27Process Relations GmbH
  • 28. – Management of Experiment informationCONFIDENTIAL Slide 28Process Relations GmbH
  • 29. – Management of Experiment informationCONFIDENTIAL Slide 29Process Relations GmbH
  • 30. – Management of file dataCONFIDENTIAL Slide 30Process Relations GmbH
  • 31. – versatile searching capabilitiesCONFIDENTIAL Slide 31Process Relations GmbH
  • 32. – versatile searching capabilitiesCONFIDENTIAL Slide 32Process Relations GmbH
  • 33. – Export tables to JMP, Excel, …CONFIDENTIAL Slide 33Process Relations GmbH
  • 34. – and analyze in JMP, Excel, …CONFIDENTIAL Slide 34Process Relations GmbH
  • 35. SummaryDortmund, 9th of January 2013
  • 36. Time and Cost Savings Reduction in the development cycle time by  enabling the use of simulation by every process engineers  reducing the development WIP Reduction in the number of learning cycles by  Avoiding re-learning  Reducing the number of “failed” experiments  Improving knowledge extraction efficiency from the experimental data  Increasing predictability of cycle time by time-lined history  Seamless, compliant documentation through full audit trail Creation of process engineer knowledge rather than management of dataCONFIDENTIAL Slide 36Process Relations GmbH
  • 37. Process Development – Yesterday Decisions Evaluation Knowledge Behavior (Interpretation) Engineers Dependencies / Patterns work time Relations spent Data and ParametersCONFIDENTIAL Slide 37Process Relations GmbH
  • 38. Process Development – Today Engineers Decisions work time spent Evaluation Knowledge Behavior (Interpretation) Dependencies / Patterns Relations Data and ParametersCONFIDENTIAL Slide 38Process Relations GmbH
  • 39. What means converting data into information? It means  Comprehensively collected  Collaboratively collected  Formalized data  Infrastructure knows about the physical quantities of values  Easy selectively sharable data Information is even better than better data Multidimensional access and search Graphical assessment and navigation possibilities Applying the principles in process development means  Risks ↓, WIP ↓, Costs ↓, Efficiency ↑, Moral ↑CONFIDENTIAL Slide 39Process Relations GmbH
  • 40. Information Governance principlesProcess Relations GmbH applied toEmil-Figge-Straße 76-8044227 Dortmund, Germany Process DevelopmentT: +49 231-9742-5970F: +49 231-9742-5972info@process-relations.comwww.process-relations.com