Findability Day 2015 Liam Holley - Dassault systems - Insight and discovery with EXALEAD
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Lian Holley – Dassault Systems
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Information Insight with EXALEAD PLM Analytics
Liam Holley
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Where did EXALEAD come from? Founded: 2000 & acquired by DS June 2010 Created by AltaVista innovators that wanted to
move in a different direction A Web Search engine
– 32 billion pages Big data before they invented the term We are a provider of Search Based Application
Mainly in PLM AnalyticsOOTB applications
Search is the data access infrastructure, content distribution platform, innovation driver and main differentiator of web businesses
Web -driven innovation allows powerful new Search-Based applications combining structured & unstructured data
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What is EXALEAD’s PLM Analytics strategy IP Reveal & Reuse
• The OnePart suite (Reveal, Reuse & Reduce)
• OOTB software
• 3D comparison
Programme Health
• Not just PLM reporting
• Hindsight & Insight
• Context for Decision Makers
After-sales & Service – Brining together
• Parts, Assemblies, CRM events and ERP data
• Product/service events (machine data)
• Product/service documentation
Customer Contact
• OneCall
Programme Health
Product in Life
Customer Contact
IP Reveal & Reuse
Conceive
& Design
After-s
ales &
Service
Realize &
Manufacture
Increase customer
intimacy
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PLM Analytics
Search technology for analytics?
Traditional reporting
(absolutely vital)
KPI Reporting PLM Analytics
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Why the focus on PLM?
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Sarbanes Oxley?Some basic Good Corporate Governance advice Form an audit committee Prevent whistle-blower complaints from becoming lawsuits Keep a lid on insurance premiums Be credible in raising capital
Deal with real data in making decisions Figure out if SAS 70 applies to you (even if the rest of SOX doesn’t) Communicate about control Prepare management for new levels of liability Adopt a code of ethics, and mean it
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A clear shift from financial transparency to product engineering!
Toyota’s Unintended Acceleration recall issue happened during the global recession, with losses totalling as much as US$2,000 million from lost output and sales worldwide. Between 25 January and 29 January 2010 Toyota shares fell in value by 15%
GM fined $900m over recall scandal in deal with Department of Transportation
TAKATA Airbag RecallAcura: 2002–2003 TL; 2002 CL; 2003–2006 MDX; 2005 Acura RLBMW (approximately 765,000): 2000–2005 3-series sedan and wagon; 2000–2006 3-series coupe and convertible; 2001–2006 M3 coupe and convertibleChevrolet (330,198, including GMC): 2007–2008 Chevrolet Silverado HDChrysler (approximately 4.75 million, including Dodge): 2004–2010 Chrysler 300; 2007–2008 AspenDaimler (40,061): 2006–2008 Dodge Sprinter 2500 and 3500; 2007–2008 Freightliner Sprinter 2500 and 3500Dodge/Ram (approximately 4.75 million, including Chrysler, not including Daimler-built Sprinter): 2003–2008 Dodge Ram 1500; 2004–2010 Charger; 2004–2011 Dakota; 2004–2008 Durango; 2004–2009 Ram 2500 and 3500; 2004–2010 Ram 4500; 2005–2010 Dodge Magnum; 2008–2010 Ram 5500Ford (1,380,604): 2004–2006 Ranger; 2005–2006 GT; 2005–2014 MustangGMC (330,198, including Chevrolet): 2007–2008 GMC Sierra HDHonda (approximately 6.28 million, including Acura): 2001–2007 Accord (four-cylinder); 2001–2002 Accord (V-6); 2001–2005 Civic; 2002–2006 CR-V; 2002–2004 Odyssey; 2003–2011 Element; 2003–2008 Pilot; 2006 RidgelineInfiniti: 2001–2004 Infiniti I30/I35; 2002–2003 Infiniti QX4; 2003–2005 Infiniti FX35/FX45; 2006 Infiniti M35/M45Lexus: 2002–2007 SC430Mazda (450,000, est): 2003–2008 Mazda 6; 2006–2007 Mazdaspeed 6; 2004–2008 Mazda RX-8; 2004–2005 MPV; 2004–2006 B-seriesMitsubishi (104,994): 2004–2006 Lancer; 2006–2010 RaiderNissan (approximately 1,091,000, including Infiniti): 2001–2003 Maxima; 2001–2004 Pathfinder; 2002–2006 Nissan SentraPontiac: 2003–2005 VibeSaab: 2005 9-2XSubaru (approximately 80,000): 2003–2005 Baja, Legacy, Outback; 2004–2005 Impreza, Impreza WRX, Impreza WRX STIToyota (approximately 2,970,000, including Lexus and Pontiac Vibe): 2002–2007 Toyota Corolla and Sequoia; 2003–2007 Matrix; 2003–2006 Tundra; 2004–2005 RAV4
Volkswagen says 11 million vehicles worldwide are involved in the scandal that has erupted over its rigging of US car emissions tests.It said it was setting aside €6.5bn (£4.7bn) to cover costs of the scandal.Earlier, the boss of Volkswagen's US business, Michael Horn, admitted the firm "totally screwed up".
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OR
It’s not “If” it’s “When” - Where do you stand?
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PLM Analytics - What is it
Insight into Product Lifecycle Management content and processes
Insight into other vital, related, corporate information Transactional dashboarding, visualisation and discovery Major percentage of EXALEADS revenue
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Why is it needed?
Ford Capri 1300 L
Ford Capri 1600 XL
Ford Capri 1600 XL automatic
Ford Capri 2000 GT
Ford Capri 2000 GT automatic
Ford Capri 1974
Euro NCAP didn’t exist until 1996 Electronic ABS 1978 Airbags 1981 Front seatbelts 1983, rear seatbelts
1987 CD player 1982 First plazma screen 1983 First UK cell phones 1985 First iPod 2001 BlueTooth 1998 Electronic Engine Management 1986 Commercially available CAD 1982 First industrial robots 1973 Automotive Lambda sensor, late
seventies by Volvo Electronic heated seats 1972 Saab First commercial available CCD 1974
Ford Capri 3000 GT
Ford Capri 3000 GT automatic
Ford Capri 3000 GXL
Ford Capri 3000 GXL automatic
Ford Capri RS 3100
No computerized FEA No Fluid Dynamics Analysis No crash simulations until the 80s No catalytic converters (1993) Blue LEDs 1993, White LEDs 1995 Intel 8080 1974 Then. no added extras, just base
models Now, optional Extras – virtually
every car is different No two presses were the same No zinc plating – rusty when new Suspension by trail and error Tire pressure sensors Ligh function sensors 1st modern turbo diesel injection
production car, Mercedes 300SD introduced in 1978
Increasing Complexity
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PLM Analytics & Insight• The Challenge• Products & Services become more and more advanced• Customers expect year on year invocation• Fierce market competition• Increased regulation• Manufacturing, development and QA processes become more complex• Business information existing in multiple, complex silos (PLM, ERP, CRM and a host of other line-of-
business systems)• Greater support burden and new sale models• Heavy liability for: mistakes, lack or transparency, bad processes and compliance issues• EXALEAD’s PLM Analytics capability provides the insight require for informed decision making by
enabling all constituents to stay in control of business processes, products, issues, information, change and KPIs.
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Why is PLM Insight required in addition to PLM reporting? Senior managers and directors require: clear, concise, timely and digestible
information to monitor the business and to make informed decisions Such information isn’t just held within PLM. It also resides within: ERP, CRM,
email, customer & partner systems and a myriad of other line of business applications
Senior stakeholders tend not to be expert PLM, ERP, CRM etc. users and do not have the time to trawl these systems to find what they need
This issue often leads to “Excellitis”, which is not maintainable (poor governance) EXALEAD’s PLM Insight offers the required dashboarding capability by drawing
and consolidating information from multiple sources, providing meaningful, business user friendly visualisation – which is consistent, up-to-date and reliable
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Why was this hard to do before EXALEAD?
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So, how is this different to Business Intelligence then?
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"It is a capital mistake to theorize before you have all the evidence. It biases the judgment."
• While much of the information is stored within structures databases, you must consider that, if you want the complete picture, you need all the information.
• Can you make good business decisions without the following:• Specifications• Emails• Contracts• Certification• Project plans
Business plans Investment PlansSales & marketing collateral Content Management SystemsMarket analysis & feedback
3D CAD SystemsMarketing PlanCustomer feedbackSocial mediaTest results
Sherlock Holmes quoteFrom A Study in Scarlet
PLM Analytics – Start with all the information, not just data
EXALEAD adds value to unstructured content using the latest semantic
technology; ranging from semantic fact extraction, alternate configurations, views, access methods and intelligent semantic
linking across information silos to establish both explicit and implicit relationships, 3D
shape comparison etc..
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BI Data DNA
Driven by numbersTransactionalTime stamped basedPre build template for KPIsNumber aggregationOften dependent upon a data-warehouseBottom up construction
127
234
749 +17%
CRMERP
Transaction
Template
KPI
PLM Data DNA
Driven by contextDependency & Graphs
Lifecycle basedOriented for discovery
Text, number, object & linksTop down approach
CAD PLM
ProcessLinksLifecycle
749
ERP
Discover & Action
BI Data DNA PLM Data DNA
Pre-defined set of reports against fixed, structured data sources
Why PLM analytics is different to classic BI
Pre-defined and add-hoc querying against any structured and unstructured information source
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Why PLM analytics is different to “ERP” Analytics
Query & Drill Down Understand the Context Decisions Actions
Why did it happen? What might happen next? What else is happening?
Is measuring a set of the end of process or the start of another?
What relationships exist?What can we action to improve or prevent ?What is the context?
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EXALEADFit for Purpose
Search
Visualize
Notify
ExploreCollect diverse, distributed Big Data from the enterprise & the Web
Capture Transform Act
Export
Aggregate & enrich: Semantic Factory, Structured Data Consolidation
Drive efficiency & innovation through
Business Discovery
Share
IndexConnectors, API
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