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T HE P ROBLEM   E XAMPLE C ASE   C ORE T ECHNOLOGY   M ARKET R ESEARCH   S TRATEGY   T EAM   S UMMARY




                O RGANISATIONAL C OMPLEXITY
                        R EDUCTION
          @ INTERSECTION OF CONSULTING AND LARGE SCALE DATA
                                             ANALYSIS




                                        August 28, 2012
T HE P ROBLEM     E XAMPLE C ASE   C ORE T ECHNOLOGY   M ARKET R ESEARCH   S TRATEGY   T EAM   S UMMARY




P ROBLEM


                complicated processes not aligned with structures can kill
                productivity
                estimated complexity cost per employee: 20 − 40% (cf.
                market research)
                how to efficiently measure, align and manage complexity in
                organizations?


      Starting Point: organisation is a networked ’complex adaptive
      system’
T HE P ROBLEM     E XAMPLE C ASE   C ORE T ECHNOLOGY   M ARKET R ESEARCH   S TRATEGY   T EAM   S UMMARY




S OLUTION : CO MPLEXITY RE DUCTION



                CORE assembles a customized set of algorithms analyze
                communication data
                     align organization structures and processes with needs
                     reduce mismatch, stress, inefficiencies
                     manage and reduce complexity in modern organizations
                by analyzing communication processes, we suggest
                adaptions and help to align structure and processes
T HE P ROBLEM     E XAMPLE C ASE     C ORE T ECHNOLOGY        M ARKET R ESEARCH      S TRATEGY   T EAM   S UMMARY




E XAMPLE C ASE
                Setting : You want to find out why your productivity
                decreases
                     You know that
                            departments tasks are communication intensive
                            workload has increased
                            some customers & employees have changed
                            customers’ requirements have shifted repeatedly.

                Internal Project Team : Little succes due to
                     Lack of time
                     People have not dared to speak up                            you only find out
                     what you already knew
                     these are not the actual problems
                Weak Signals : You know that your colleagues talk about
                quitting after one key member has left to a competitor,
                another one has switched internally and your bosses have
                started to question your departments performance.

       You are getting nervous! VERY NERVOUS!
T HE P ROBLEM     E XAMPLE C ASE   C ORE T ECHNOLOGY   M ARKET R ESEARCH   S TRATEGY   T EAM   S UMMARY




E XAMPLE C ASE : S OLUTION



                Silver Lining:
                     You hear about CORE, the solution to analyze
                     organisational complexity
                     You decide to implement a testcase in your department.
                     Email data is anonymized and exported to analyze
                     communication patterns
                     Approval of the worker’s council, which is concerned about
                     privacy, but also health issues of your departments
                     members is reached.
T HE P ROBLEM     E XAMPLE C ASE   C ORE T ECHNOLOGY   M ARKET R ESEARCH   S TRATEGY   T EAM   S UMMARY




E XAMPLE C ASE : S OLUTION

                Analysis: The analysis shows that
                     internal and external email communication increase after
                     customer employees have changed.
                     much higher communication load on customer facing team
                     members.
                     other members of the team are communicating a lot with
                     each other in circles.
                Action: You cut away on internal processes that produce
                unnecessary communication and move freed workforce to
                help customer facing employees.
                Results: Team mood and productivity rise, newly
                developing unnecessary processes are identified early on
                and cost stay in check in the coming months.
T HE P ROBLEM   E XAMPLE C ASE   C ORE T ECHNOLOGY   M ARKET R ESEARCH   S TRATEGY   T EAM   S UMMARY




E XAMPLE C ASE : R ESULT – C OMMUNICATION
N ETWORK




      Figure : Anonymized analysis of ENRON example dataset – subset of
      all emails
T HE P ROBLEM     E XAMPLE C ASE   C ORE T ECHNOLOGY   M ARKET R ESEARCH   S TRATEGY   T EAM   S UMMARY




C ORE T ECHNOLOGY


                CORE Technology computes complexity indicators based
                on
                     person-person communication network
                     information originated in-and outside organisations
                Indicators show organisations how to optimize tzeir
                processes
                     align process and structures
                     reduce complexity
                     improve performance in terms of speed, flexibility ,
                     integraion and innovation
T HE P ROBLEM   E XAMPLE C ASE   C ORE T ECHNOLOGY   M ARKET R ESEARCH   S TRATEGY   T EAM   S UMMARY




C ORE T ECHNOLOGY AND P ROCESS
T HE P ROBLEM     E XAMPLE C ASE   C ORE T ECHNOLOGY   M ARKET R ESEARCH   S TRATEGY   T EAM   S UMMARY




M ARKET R ESEARCH


                our survey results indicate yearly complexity cost of
                20 − 40% of total employee cost
                estimated total market size for Europe: 2 bn Euro p.a.
                target group: more than 43.000 medium sized enterprises
                in EU with 250+ employees, estimated useful minimum
                size: 100+ employees
                Gartner’s Analytic Applications and Performance
                Management category: 1.4 bn USD revenue, 8 − 15%
                CAGR
T HE P ROBLEM     E XAMPLE C ASE   C ORE T ECHNOLOGY   M ARKET R ESEARCH   S TRATEGY   T EAM   S UMMARY




C OMPETITION AND UNIQUE C HARACTERISTIC


                competition:
                     fragmented academic and small consultants
                     large person-hour focused consulting companies
                     data analytics software providers
                     business performance software providers
                no integrated, semi-automated, data analytics, domain
                know-how based approach


      This is where CORE steps in.
T HE P ROBLEM     E XAMPLE C ASE   C ORE T ECHNOLOGY   M ARKET R ESEARCH   S TRATEGY   T EAM   S UMMARY




S TRATEGY


                Incremental approach in design / prototype phase:
                feedback from market
                     start with SaaS based email analysis for medium sized
                     companies in
                     local markets
                     build team
                     form partnerships with consultants and academia as
                     multiplicators and sales channel
                Scale up and Long term perspective:
                     increasingly larger enterprises
                     extend to ERP data based analysis of processes
                     extend to IT complexity reduction
T HE P ROBLEM     E XAMPLE C ASE    C ORE T ECHNOLOGY      M ARKET R ESEARCH   S TRATEGY   T EAM   S UMMARY




M ILESTONES / I NVESTMENT

                Investment characteristics incremental learning: assumes
                bootstrapping at beginning, angel / VC investments later
                     further development required: 6 months, after that ongoing
                     development
                     first sales: year 1
                     building sales: year 2
                     positive cash flow in year 3
                     profitable in year 4
                     sales of 2.5 Mio e in year 5
                Investment, staged: 1.5 Mio e for development, initial
                growth phase
                     core software development team
                     build up of
                            sales team and customer base
                            partnerships / channel sales
T HE P ROBLEM     E XAMPLE C ASE    C ORE T ECHNOLOGY      M ARKET R ESEARCH       S TRATEGY      T EAM   S UMMARY




S OFTWARE D EVELOPMENT

                Status:
                     protoype analysis and visualization
                            based on 423mb, 300k emails ENRON data set, standard SNA algorithms

                     next: alignment with orga structure
                Software Development Approach:
                     internal core R&D team to develop and prototype
                     outsourced high performance implementation
                     SaaS platform, integration software, data extraction
                     software (low value code) outsourced to cost efficient
                     supplier
                     deploy platform in cloud & grow along revenues
                     use open source tools to reduce capital expenditure
                     personal data issues managed per country, current
                     prototype is based on strict European regulations
T HE P ROBLEM     E XAMPLE C ASE   C ORE T ECHNOLOGY   M ARKET R ESEARCH   S TRATEGY   T EAM   S UMMARY




C URRENT CORE T EAM

                mainly European multidisciplinary team with experience in
                network theory, social networking, corporate organisation
                and enterprise needs
                met on Venture Lab based on passion for algorithmic data
                analytics solution to complexity problem
                     Carl Henning Reschke, Consultant & Innovator (GER)
                     Sven Stodtmann, Ph.D. Student (GER)
                                     `
                     Francesco Collova, Innovator, Global Architecture Expert
                     (IT)
                     Roger Sen, Enterprise Application Expert (ESP)

                     Mentor: Benson Yeung, IT architecture and systems
                     integrator (USA)
                     Input from informal advisors from VL and RL
T HE P ROBLEM     E XAMPLE C ASE   C ORE T ECHNOLOGY   M ARKET R ESEARCH   S TRATEGY   T EAM   S UMMARY




S UMMARY


                complicated, interrelated processes not aligned with
                structures and incentives kill productivity
                estimated cost of complexity 20 − 40%
                estimated market size Europe alone: 2 bn e p.a.
                cloud based data analytics for organizational alignment
                and complexity reduction
                achieved prototype analysis of example ENRON email
                data set
                incremental development, initially organic growth strategy
                followed by expansion
T HE P ROBLEM    E XAMPLE C ASE   C ORE T ECHNOLOGY   M ARKET R ESEARCH   S TRATEGY   T EAM   S UMMARY




C ONTACT & L INKS




                Team http://www.venture-lab.org/teams/5693
                Web http://www.coredux.appspot.com
                Youtube http://www.youtu.be/bQBTuG0g3AU
                Survey http://www.surveymonkey.com/s/QDLYVNT

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CORE slides for Venture Lab 2012 organized by Chuck Eesley

  • 1. T HE P ROBLEM E XAMPLE C ASE C ORE T ECHNOLOGY M ARKET R ESEARCH S TRATEGY T EAM S UMMARY O RGANISATIONAL C OMPLEXITY R EDUCTION @ INTERSECTION OF CONSULTING AND LARGE SCALE DATA ANALYSIS August 28, 2012
  • 2. T HE P ROBLEM E XAMPLE C ASE C ORE T ECHNOLOGY M ARKET R ESEARCH S TRATEGY T EAM S UMMARY P ROBLEM complicated processes not aligned with structures can kill productivity estimated complexity cost per employee: 20 − 40% (cf. market research) how to efficiently measure, align and manage complexity in organizations? Starting Point: organisation is a networked ’complex adaptive system’
  • 3. T HE P ROBLEM E XAMPLE C ASE C ORE T ECHNOLOGY M ARKET R ESEARCH S TRATEGY T EAM S UMMARY S OLUTION : CO MPLEXITY RE DUCTION CORE assembles a customized set of algorithms analyze communication data align organization structures and processes with needs reduce mismatch, stress, inefficiencies manage and reduce complexity in modern organizations by analyzing communication processes, we suggest adaptions and help to align structure and processes
  • 4. T HE P ROBLEM E XAMPLE C ASE C ORE T ECHNOLOGY M ARKET R ESEARCH S TRATEGY T EAM S UMMARY E XAMPLE C ASE Setting : You want to find out why your productivity decreases You know that departments tasks are communication intensive workload has increased some customers & employees have changed customers’ requirements have shifted repeatedly. Internal Project Team : Little succes due to Lack of time People have not dared to speak up you only find out what you already knew these are not the actual problems Weak Signals : You know that your colleagues talk about quitting after one key member has left to a competitor, another one has switched internally and your bosses have started to question your departments performance. You are getting nervous! VERY NERVOUS!
  • 5. T HE P ROBLEM E XAMPLE C ASE C ORE T ECHNOLOGY M ARKET R ESEARCH S TRATEGY T EAM S UMMARY E XAMPLE C ASE : S OLUTION Silver Lining: You hear about CORE, the solution to analyze organisational complexity You decide to implement a testcase in your department. Email data is anonymized and exported to analyze communication patterns Approval of the worker’s council, which is concerned about privacy, but also health issues of your departments members is reached.
  • 6. T HE P ROBLEM E XAMPLE C ASE C ORE T ECHNOLOGY M ARKET R ESEARCH S TRATEGY T EAM S UMMARY E XAMPLE C ASE : S OLUTION Analysis: The analysis shows that internal and external email communication increase after customer employees have changed. much higher communication load on customer facing team members. other members of the team are communicating a lot with each other in circles. Action: You cut away on internal processes that produce unnecessary communication and move freed workforce to help customer facing employees. Results: Team mood and productivity rise, newly developing unnecessary processes are identified early on and cost stay in check in the coming months.
  • 7. T HE P ROBLEM E XAMPLE C ASE C ORE T ECHNOLOGY M ARKET R ESEARCH S TRATEGY T EAM S UMMARY E XAMPLE C ASE : R ESULT – C OMMUNICATION N ETWORK Figure : Anonymized analysis of ENRON example dataset – subset of all emails
  • 8. T HE P ROBLEM E XAMPLE C ASE C ORE T ECHNOLOGY M ARKET R ESEARCH S TRATEGY T EAM S UMMARY C ORE T ECHNOLOGY CORE Technology computes complexity indicators based on person-person communication network information originated in-and outside organisations Indicators show organisations how to optimize tzeir processes align process and structures reduce complexity improve performance in terms of speed, flexibility , integraion and innovation
  • 9. T HE P ROBLEM E XAMPLE C ASE C ORE T ECHNOLOGY M ARKET R ESEARCH S TRATEGY T EAM S UMMARY C ORE T ECHNOLOGY AND P ROCESS
  • 10. T HE P ROBLEM E XAMPLE C ASE C ORE T ECHNOLOGY M ARKET R ESEARCH S TRATEGY T EAM S UMMARY M ARKET R ESEARCH our survey results indicate yearly complexity cost of 20 − 40% of total employee cost estimated total market size for Europe: 2 bn Euro p.a. target group: more than 43.000 medium sized enterprises in EU with 250+ employees, estimated useful minimum size: 100+ employees Gartner’s Analytic Applications and Performance Management category: 1.4 bn USD revenue, 8 − 15% CAGR
  • 11. T HE P ROBLEM E XAMPLE C ASE C ORE T ECHNOLOGY M ARKET R ESEARCH S TRATEGY T EAM S UMMARY C OMPETITION AND UNIQUE C HARACTERISTIC competition: fragmented academic and small consultants large person-hour focused consulting companies data analytics software providers business performance software providers no integrated, semi-automated, data analytics, domain know-how based approach This is where CORE steps in.
  • 12. T HE P ROBLEM E XAMPLE C ASE C ORE T ECHNOLOGY M ARKET R ESEARCH S TRATEGY T EAM S UMMARY S TRATEGY Incremental approach in design / prototype phase: feedback from market start with SaaS based email analysis for medium sized companies in local markets build team form partnerships with consultants and academia as multiplicators and sales channel Scale up and Long term perspective: increasingly larger enterprises extend to ERP data based analysis of processes extend to IT complexity reduction
  • 13. T HE P ROBLEM E XAMPLE C ASE C ORE T ECHNOLOGY M ARKET R ESEARCH S TRATEGY T EAM S UMMARY M ILESTONES / I NVESTMENT Investment characteristics incremental learning: assumes bootstrapping at beginning, angel / VC investments later further development required: 6 months, after that ongoing development first sales: year 1 building sales: year 2 positive cash flow in year 3 profitable in year 4 sales of 2.5 Mio e in year 5 Investment, staged: 1.5 Mio e for development, initial growth phase core software development team build up of sales team and customer base partnerships / channel sales
  • 14. T HE P ROBLEM E XAMPLE C ASE C ORE T ECHNOLOGY M ARKET R ESEARCH S TRATEGY T EAM S UMMARY S OFTWARE D EVELOPMENT Status: protoype analysis and visualization based on 423mb, 300k emails ENRON data set, standard SNA algorithms next: alignment with orga structure Software Development Approach: internal core R&D team to develop and prototype outsourced high performance implementation SaaS platform, integration software, data extraction software (low value code) outsourced to cost efficient supplier deploy platform in cloud & grow along revenues use open source tools to reduce capital expenditure personal data issues managed per country, current prototype is based on strict European regulations
  • 15. T HE P ROBLEM E XAMPLE C ASE C ORE T ECHNOLOGY M ARKET R ESEARCH S TRATEGY T EAM S UMMARY C URRENT CORE T EAM mainly European multidisciplinary team with experience in network theory, social networking, corporate organisation and enterprise needs met on Venture Lab based on passion for algorithmic data analytics solution to complexity problem Carl Henning Reschke, Consultant & Innovator (GER) Sven Stodtmann, Ph.D. Student (GER) ` Francesco Collova, Innovator, Global Architecture Expert (IT) Roger Sen, Enterprise Application Expert (ESP) Mentor: Benson Yeung, IT architecture and systems integrator (USA) Input from informal advisors from VL and RL
  • 16. T HE P ROBLEM E XAMPLE C ASE C ORE T ECHNOLOGY M ARKET R ESEARCH S TRATEGY T EAM S UMMARY S UMMARY complicated, interrelated processes not aligned with structures and incentives kill productivity estimated cost of complexity 20 − 40% estimated market size Europe alone: 2 bn e p.a. cloud based data analytics for organizational alignment and complexity reduction achieved prototype analysis of example ENRON email data set incremental development, initially organic growth strategy followed by expansion
  • 17. T HE P ROBLEM E XAMPLE C ASE C ORE T ECHNOLOGY M ARKET R ESEARCH S TRATEGY T EAM S UMMARY C ONTACT & L INKS Team http://www.venture-lab.org/teams/5693 Web http://www.coredux.appspot.com Youtube http://www.youtu.be/bQBTuG0g3AU Survey http://www.surveymonkey.com/s/QDLYVNT