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Responsible Corporate Problem Solving -a Siemens Case Study with TechnoWeb 2.0IEEE The Hague - June 2013Isaac Newton Acquah1

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www.freshtracks.co.uk2

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In the beginning…. there was TechnoWeb3

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commons.wikimedia.org4

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What is an Urgent Request?5

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http://www.wordle.net/createLocations on TechnoWeb Today7

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http://www.wordle.net/createPositions on TechnoWeb Today8

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"Isolatedknowledgeislands"Organizationaland hierarchicalBusinessprocess- andproject specificinformationLocal, time,cultural andlanguageBarriers exist in large organizationsTechnoWeb breaks down those barriers9

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Barriers exist in large organizationsTechnoWeb breaks down those barriers10"Isolatedknowledgeislands"Organizationaland hierarchicalBusinessprocess- andproject specificinformationLocal, time,cultural andlanguage

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commons.wikimedia.orgEverybody gets the Urgent Requests12

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Imagine…13

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www.missoulakiwanis.com14

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Semantic Solution15

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Urgent Request tagging16

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commons.wikimedia.orgTargeted Messaging1717

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Precision RecallTechnoWeb Business slider19

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2013Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan2010 2011 2012SimulationBroadcasting Target MessagingResearch Timeline20

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Findings: Ratio of answeredUrgent Requests2192% 93%96%92% 91%87%93% 92%87%0%10%20%30%40%50%60%70%80%90%100%Fourth Quarter2010First Quarter2011Second Quarter2011Third Quarter2011Fourth Quarter2011First Quarter2012Second Quarter2012Third Quarter2012Fourth Quarter2012Broadcast Targeted Messaging

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227,91110,48515,823 18,16622,38824,50105,00010,00015,00020,00025,00030,0000100,000200,000300,000400,000500,000600,000700,00010/201011/201012/201001/201102/201103/201104/201105/201106/201107/201108/201109/201110/201111/201112/201101/201202/201203/201204/201205/201206/201207/201208/201209/201210/2012NumberofUrgentRequestNotificationsBroadcastTarget MessagingCommunity SizeFindings: Notifications sent out

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30.9015.307.404.5026.408.804.102.900.005.0010.0015.0020.0025.0030.0035.00€ 1 000 € 10 000 € 50 000 € 250 000SpamReductionFactorSimulation of the Semantic Target Messaging Algorithm (n=138)Real Life Performance of the Semantic Target Messaging Algorithm (m=477)Findings: Spam Reduction23

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2.711.711.18 1.180.584.052.041.09 1.080.900.000.501.001.502.002.503.003.504.004.50€ 1 000 € 10 000 € 50 000 € 250 000 € 1 000 000ConversionRate(perthousand)Simulation of the Semantic Target Messaging Algorithm (n=138)Real Life Performance of the Semantic Target Messaging Algorithm (m=477)Real Life Performance of the Old Broadcasting Mechanism (n=138)Findings: Conversion Rate24

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Saved emails from the new system in a 1 year, 4months period…8 235 786(October 2011 and January 2013)25

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EmployeesSaved Costshttp://wallboom.com/smiley-faces-on-twitter.htmlPositive side effects26

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27ThomasMayerdorferClemensWienerDr.MichaelHeissIsaacNewtonAcquahMeet the teamDr.ManfredLangen

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Work ExperienceAbout me: Isaac Newton Acquah IIIacquah@mercurypuzzle.comat.isaacnewtonacquah.linkedin.comtwitter.com/isaacnewtonIIIGet in touch28Education