big data – a dowsing rod to locate innovations? · • innovation can be modeled in 3 horizons...
TRANSCRIPT
Markus Breunig & Godehard Gerling!Hochschule Rosenheim und go3consulting PartG!
Big Data – "A Dowsing Rod to Locate Innovations?!
Modern Dowsing Rods – pure High-Tech!!
DDS - Salzburg!
Foto:%augsburger-allgemeine.de%
Big Data is ...!
...like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it. (Dan Ariely – on his facebook page)!
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Foto:%telegraph.co.uk%
Agenda!
• Recap - Big Data!• Three Horizons of Innovation & Big Data!• Methodical Approaches for the Individual Horizons!– Incremental!– Adjacent!
– Disruptive!
• Conclusions!
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DDS - Salzburg!
Volume'
Velocity' Variety'
3'Vs''of''
Big'Data'
GB,'TB'or'PB'Records/Transac<ons'
Tables/Files'
Batch'NearA/RealA<me'
Streaming'
Structured'SemiAStructured'Unstructured'
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Type'of'Innova<on:' Incremental% Adjacent% Radical%-%Disrup=ve%
Management'Objec<ve:'
Efficiency,%DDD% Op=miza=on% Business%Transforma=on%
Tools'&'Methods:'
Score%Cards,%Cockpits%
Canvas%Modeling,%10-Types%
Ethnographic,%Exploratory,%Agile%Project%Management%
Impact%
Innova=on%
Big Data & Business Model Innovation!
DDS - Salzburg!
Type'of'Innova<on:' Incremental% Adjacent% Radical%-%Disrup=ve%
Management'Objec<ve:'
Efficiency,%DDD% Op=miza=on% Business%Transforma=on%
Tools'&'Methods:'
Score%Cards,%Cockpits%
Canvas%Modeling,%10-Types%
Ethnographic,%Exploratory,%Agile%Project%Management%
Impact%
Innova=on%
Big Data & Business Model Innovation: "Incremental Innovation!
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Phase%3%Advancing'
the'Goals'
Phase%2%Boos<ng'
the'Insights'
Phase%1%Improving'
the'Reports'
Which%reports%are%currently%used%to%monitor%
the%business?%
Which%ques=ons%do%the%recipients%of%the%reports%answer%based%on%these%
reports?%
Which%goals%do%the%report%recipients%pursue%by%
asking%these%ques=ons?%
(How)%can%Big%Data%improve%the%accuracy%of%the%numbers%in%these%
reports?%
(How)%can%these%ques=ons%be%answered%beXer%using%
Big%Data?%
(How)%can%these%goals%be%supported%beXer%using%Big%
Data?%
Incremental Innovation: "Optimizing the existing Business!
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Type'of'Innova<on:' Incremental% Adjacent% Radical%-%Disrup=ve%
Management'Objec<ve:'
Efficiency,%DDD% Op=miza=on% Business%Transforma=on%
Tools'&'Methods:'
Score%Cards,%Cockpits%
Canvas%Modeling,%10-Types%
Ethnographic,%Exploratory,%Agile%Project%Management%
Impact%
Innova=on%
Big Data & Business Model Innovation: "Adjacent Innovation!
Adjacent Innovation: "Optimizing the business model!
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Business%Model%
The Business Model Canvas
Revenue Streams
Channels
Customer SegmentsValue PropositionsKey ActivitiesKey Partners
Key Resources
Cost Structure
Customer Relationships
Designed by: Date: Version:Designed for:
designed by: Business Model Foundry AGThe makers of Business Model Generation and Strategyzer
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What are the most important costs inherent in our business model? Which Key Resources are most expensive? Which Key Activities are most expensive?
is your business moreCost Driven (leanest cost structure, low price value proposition, maximum automation, extensive outsourcing)Value Driven (focused on value creation, premium value proposition)
sample characteristicsFixed Costs (salaries, rents, utilities)Variable costsEconomies of scaleEconomies of scope
Through which Channels do our Customer Segments want to be reached? How are we reaching them now?How are our Channels integrated? Which ones work best?Which ones are most cost-efficient? How are we integrating them with customer routines?
channel phases1. Awareness
How do we raise awareness about our company’s products and services?2. Evaluation
How do we help customers evaluate our organization’s Value Proposition?3. Purchase
How do we allow customers to purchase specific products and services?4. Delivery
How do we deliver a Value Proposition to customers?5. After sales
How do we provide post-purchase customer support?
For what value are our customers really willing to pay?For what do they currently pay? How are they currently paying? How would they prefer to pay? How much does each Revenue Stream contribute to overall revenues?
For whom are we creating value?Who are our most important customers?
Mass MarketNiche MarketSegmentedDiversifiedMulti-sided Platform
What type of relationship does each of our Customer Segments expect us to establish and maintain with them?Which ones have we established? How are they integrated with the rest of our business model?How costly are they?
examplesPersonal assistanceDedicated Personal AssistanceSelf-ServiceAutomated ServicesCommunitiesCo-creation
What Key Activities do our Value Propositions require?Our Distribution Channels? Customer Relationships?Revenue streams?
catergoriesProductionProblem SolvingPlatform/Network
What Key Resources do our Value Propositions require?Our Distribution Channels? Customer Relationships?Revenue Streams?
types of resourcesPhysicalIntellectual (brand patents, copyrights, data)HumanFinancial
Who are our Key Partners? Who are our key suppliers?Which Key Resources are we acquairing from partners?Which Key Activities do partners perform?
motivations for partnershipsOptimization and economy Reduction of risk and uncertaintyAcquisition of particular resources and activities
What value do we deliver to the customer?Which one of our customer’s problems are we helping to solve? What bundles of products and services are we offering to each Customer Segment?Which customer needs are we satisfying?
characteristicsNewnessPerformanceCustomization“Getting the Job Done”DesignBrand/StatusPriceCost ReductionRisk ReductionAccessibilityConvenience/Usability
typesAsset saleUsage feeSubscription FeesLending/Renting/LeasingLicensingBrokerage feesAdvertising
fixed pricingList PriceProduct feature dependentCustomer segment dependentVolume dependent
dynamic pricingNegotiation (bargaining)Yield ManagementReal-time-Market
strategyzer.com
! Business%Model%Canvas%! Itera=ve%&%Incremental%
! Doblin‘s%10-Types%
Alexander Osterwalder: "Business Models can be Described in 9 Key Aspects!
Source:businessmodelgenera=on.com%
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Keely‘s 10 Types of Innovation can be Matched to Key Aspects of Business Models!
• Result of investigating > 3000 innovations!• Combinations of types may be present in any
innovation!
• Successful & sustainable innovations "combine > 3.5 innovation types!
cf.%Keely,%L.%et%al.%Ten%Types%of%Innova=on.%New%York:%Wiley;%2013.!
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Each Innovation Type is Comprised of "Multiple Innovation Tactics (112 in Total)!
cf.%Keely,%L.%et%al.%Ten%Types%of%Innova=on.%New%York:%Wiley;%2013.!
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DDS - Salzburg!
We have Identified the Data-Driven Innovation Tactics!(Example: 1st Four Types of Innovation) !
Profit Model""
Network" Structure" Process"
o AdASupported'o Auc=on%o Bundled'Pricing'o Cost%Leadership%o Disaggregated'Pricing'o Financing%o Flexible'Pricing'o Float%o Forced'Scarcity'o Freemium'o Installed%Base%o Licensing%o Membership'o Metered'Use'o Microtransac=ons%o Premium%o Risk%Sharing%o Scaled%Transac=ons%o Subscrip<ons'o Switchboard'o UserADefined'
o Alliances%o Collabora=on%o Complementary%
Partnering%o Consolida=on%o Coopera=on%o Franchising'o Merger/Acquisi=on%o Open%Innova=on%o Secondary%Markets%o Supply'Chain'Integra<on
o Asset%Standardiza=on%o Competency%Center%o Corporate%University%o Decentralized%
Management%o Incen<ve'Systems'o IT%Integra=on%o Knowledge%Management%o Organiza=onal%Design%o Outsourcing%
o Crowdsourcing%o Flexible'Manufacturing'o Intellectual%Property%o Lean%Produc=on%o Localiza=on%o Logis=cs%Systems%o OnADemand'Produc<on'o Predic<ve'Analy<cs'o Process%Automa=on%o Process%Efficiency%o Process%Standardiza=on%o Strategic%Design%o User-Generated%
Source:%doblin.com%
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Data-Driven Innovation Tactics – Examples!
Profit Model"Bundled Pricing!
Sell$in$a$single$transac-on$two$or$more$items$that$could$be$sold$as$standalone$offerings.$
Iden<fy'items'to'bundle'based'on'data'analysis.'Predict'the'resul<ng'changes'in'revenue.'Analyze'the'resul<ng'changes'in'revenue.''
Product Performance"Feature Aggregation!
Combine$a$number$of$exis-ng$features$from$disparate$sources$into$a$single$offering.$
Analyze'which'features'are'mostly'used'together'in'the'disparate'sources.'Predict'changes'in'usage.'Analyze'changes'in'feature'usage/revenue/profit.'
Service"Loyalty Programs!
Provide$benefits$and/or$discounts$to$frequent$and$high@value$customers.$
Compute'the'frequent/highAvalue'customers.'Analyze'usage'of'the'product'by'these'customers.'Decide'which'incen<ves'to'offer.'Model'cost/profit'changes.'
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Type'of'Innova<on:' Incremental% Adjacent% Radical%-%Disrup=ve%
Management'Objec<ve:'
Efficiency,%DDD% Op=miza=on% Business%Transforma=on%
Tools'&'Methods:'
Score%Cards,%Cockpits%
Canvas%Modeling,%10-Types%
Ethnographic,%Exploratory,%Agile%Project%Management%
Impact%
Innova=on%
Big Data & Business Model Innovation: "Radical - Disruptive!
Customer%
Disruptive Innovation: Develop new Business Models centered on Customers and their Behaviour!
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! Customer%Journey%
Stanford Innovation Masters Series • 10
Prototyping is Part of a Design Process
EMPATHIZEEMPATHIZE
TESTTEST
IDEATEIDEATE
PROTOTYPEPROTOTYPEDEFINEDEFINE
Stanford Innovation Masters Series • 11
3 Stages of Prototyping
# of Prototypes
What could be
What should be
What will be
INSPIRE
EVOLVE
VALIDATE
(from Moggridge)
Embrace failure
Build to think
Low resolution
Expect changes
Experiment
Targeted modelsManage Changes
Build to spec.
Integrated Models
Stanford Innovation Masters Series • 12
Not Just for Products
Interactions
Spaces
Experiences
Stanford Innovation Masters Series • 13
The Exercise
Roll up your sleeves and Prototype!
The Task: Get the ball from the top of the table into the basket as many times as possible in 45 seconds, subject to the rules
! Design%Thinking%
! Itera=ve%&%Incremental%
! X-Func=onal%Team%
Customer/User Journeys "Serve as the Foundation for New Insights!
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Observable%Behaviours%
Data%
Persona%
Source%1%Source%2%%Source...%
%
Data%Sources%
Design Thinking Provides a Structured Discovery and Improvement Process!
The current broader use of the term Design Thinking denotes an interdisciplinary approach to problem solving based on radical collaboration. It promotes hands-on research (observations, enquiries, interviews, self-experiments), ethnological (v. statistical) methods, various ideation techniques (brainstorming, sketching, prototyping), and repeated user and reality feedback by way of prototypes to iteratively refine an approach or a solution. Design Thinking is biased towards action. It works under the assumption that all design activities are ultimately social in nature and that making ideas and concepts tangible will improve the discussion en route to solving a problem.!
DDS - Salzburg!
Stanford Innovation Masters Series • 10
Prototyping is Part of a Design Process
EMPATHIZEEMPATHIZE
TESTTEST
IDEATEIDEATE
PROTOTYPEPROTOTYPEDEFINEDEFINE
Stanford Innovation Masters Series • 11
3 Stages of Prototyping
# of Prototypes
What could be
What should be
What will be
INSPIRE
EVOLVE
VALIDATE
(from Moggridge)
Embrace failure
Build to think
Low resolution
Expect changes
Experiment
Targeted modelsManage Changes
Build to spec.
Integrated Models
Stanford Innovation Masters Series • 12
Not Just for Products
Interactions
Spaces
Experiences
Stanford Innovation Masters Series • 13
The Exercise
Roll up your sleeves and Prototype!
The Task: Get the ball from the top of the table into the basket as many times as possible in 45 seconds, subject to the rules
X-Functional Team - Competence Profiles"!
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Business'
Data'Scien<sts' IT/Infrastructure'
How%to%use%which%data%most%beneficial%
to%further%my%business%model?%
What%can%be%inferred%from%the%data%using%
which%algorithm?%
How%and%where%will%the%data%be%collected,%stored%and%processed?%
%
!%Score%Cards%!%Canvas%Modeling%%%%%%10-Types%!%Design%Thinking%
! Sta=s=cs%! Data%Mining%
! Hadoop%Ecosystem%! Cloud%Storage%
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Type'of'Innova<on:' Incremental% Adjacent% Radical%-%Disrup=ve%
Management'Objec<ve:'
Efficiency,%DDD% Op=miza=on% Business%Transforma=on%
Tools'&'Methods:'
Score%Cards,%Cockpits%
Canvas%Modeling,%10-Types%
Ethnographic,%Exploratory,%Agile%Project%Management%
Impact%
Innova=on%
Big Data & Business Model Innovation!
Conclusions ! !!
• Innovation can be modeled in 3 horizons – Big Data
can be instrumental in all 3 of them!
" „DDD“ – Adjacent Innovation – Structured Disruption!
• Each horizon requires a specific approach!
• Success results from a structured combination of
well-established innovation methods and Big Data!
!
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Thank you for your attention!!
Prof. Dr. Markus Breunig!+49 151 23344 657"[email protected]"[email protected] "www.fh-rosenheim.de"!Godehard Gerling !+49 160 975 23522"[email protected]"www.go3consulting.de"
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