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JEN VAN DER MEER
STRATA 2013 FEBRUARY 26, 2013
LUMINARY LABS | NYU ITP | SVA POD
JEN VAN DER MEER @JENVANDERMEER
WWW.JENVANDERMEER.COM
February 27, 2013
                    2
CIRCA 1993




February 27, 2013
                    3
February 27, 2013
                    4
Results from a recent customer discovery exercise from a big data
software company in the health care space.


N = 24. *Over cocktails.

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February 27, 2013
                    @gothamgal
                            13
Get luminary website here….




February 27, 2013
                                                  14
Whoops   Idea not        Great potential   Great idea,
         breakthrough,   idea, uncertain   identified
         addressable     or unlikely       business model
         market too      business          potential
         small           models
The single biggest error new companies make in estimating
their potential growth: overvaluing the value of the data itself.
“We have a consumer based model and we’ll sell data to small
businesses to tell them how they’re doing.”
“We know how to find patterns in unstructured data and we can sell
this to data brokers and to developer APIs.”
“We collect lots of interesting social data about how people interact
with brands at the store level and we’ll sell that data back to CPG
brands that have no direct touchpoint.”
“We have a novel data source triangulating accelerometer data with
GPS and loyalty points, which is a unique and proprietary algorithm
that will measure behavior change…”


February 27, 2013
                                                                        16
Action      Value to drive
                                  Revs up,
                                  Cost down
                     Wisdom
                                  “Alas, how
                                  terrible is wisdom
                    Knowledge     when it brings no
                                  profit to the man
                                  that's wise!”
                    Information   – Sophocles


                       Data
February 27, 2013
                                                   17
February 27, 2013
                    18
Score
Company descriptions for innovative big data companies:

    _____ indexes and makes searchable data from any app, server or network
    device in real time including logs, config files, messages, alerts, scripts and
    metrics.


    ______ makes sense of the world's public data to help your company
    answer billion dollar questions. To solve technology challenges, identify
    target companies, and detect disruptive trends.


    ______ is an innovative solution for statistical/analytics outsourcing. We are
    the leading platform for predictive modeling competitions. Companies,
    governments and researchers present datasets and problems - the world's
    best data scientists then compete to produce the best solutions.


    _______ is the single application for big data analytics. Data integration,
    data analytics and data visualization with the Business Infographic™
    designer.



From Fast Co: THE WORLD'S TOP 10 MOST INNOVATIVE COMPANIES IN BIG DATA                        19
February 27, 2013
                    20
“I’m using insights from big data to see if I’m reaching my
target segment, and then richly understanding these segments
in new ways.”

February 27, 2013
                                                               21
“We need to get customer insight to the front lines to reduce
customer churn, not just in some exec’s inbox in a PDF report, or
worse on a never-seen real time dashboard.”

February 27, 2013
                                                                    22
“We’re trying to get a moneyball way of looking at the
business. But we’re facing fierce resistance from the
marketing and front office teams. Big data hasn’t left IT.”




                                                              23
February 27, 2013
                    24
February 27, 2013
                    25
February 27, 2013
                    26
27
28
February 27, 2013
                    29
•    All types of researchers in various disciplines—including basic
     science, drug discovery, clinical and translational, epidemiologic, and
     patient behavior—will have access to the requisite data to advance
     their research.
•    Clinicians will have immediate access to cross-sectional, trending, and
     performance data that may facilitate improved clinical decision making.
•    Patients will have real-time access to information for finding reliable
     sources pertinent to their particular condition and in finding expertise
     tailored to their individual needs.
•    Product innovators will have the ability to query large amounts of
     phenotypic and molecular data, and rapidly scan patient populations
     for recruitment into clinical trials.

DRAFT: Achieving Data Liquidity in the Cancer Community: Proposal for a Coalition of All
Stakeholders. Members of the IOM National Cancer Policy Forum’s Workshop on Informatics
Needs and Challenges in Cancer Research Planning Committee. Author’s views, not nec. IOM
views.


February 27, 2013
                                                                                           30
February 27, 2013
                    33
February 27, 2013
                    34
February 27, 2013
                    35
February 27, 2013
                    39
The goal is really to spur the emergence of an ecosystem of innovators
that leverage this open data in magical ways to improve health and
healthcare in ways that no one organization, no ten organizations, could
even think up let alone execute.
.- Todd Park,
February 27, 2013
                    41
Thank you. @jenvandermeer

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Data is not a business model moving knowledge to action presentation

  • 1. JEN VAN DER MEER STRATA 2013 FEBRUARY 26, 2013 LUMINARY LABS | NYU ITP | SVA POD JEN VAN DER MEER @JENVANDERMEER WWW.JENVANDERMEER.COM
  • 5. Results from a recent customer discovery exercise from a big data software company in the health care space. N = 24. *Over cocktails. February 27, 2013 5
  • 8. February 27, 2013 February 27, 2013 8
  • 11. February 27, 2013 February 27, 2013 11
  • 13. February 27, 2013 @gothamgal 13
  • 14. Get luminary website here…. February 27, 2013 14
  • 15. Whoops Idea not Great potential Great idea, breakthrough, idea, uncertain identified addressable or unlikely business model market too business potential small models
  • 16. The single biggest error new companies make in estimating their potential growth: overvaluing the value of the data itself. “We have a consumer based model and we’ll sell data to small businesses to tell them how they’re doing.” “We know how to find patterns in unstructured data and we can sell this to data brokers and to developer APIs.” “We collect lots of interesting social data about how people interact with brands at the store level and we’ll sell that data back to CPG brands that have no direct touchpoint.” “We have a novel data source triangulating accelerometer data with GPS and loyalty points, which is a unique and proprietary algorithm that will measure behavior change…” February 27, 2013 16
  • 17. Action Value to drive Revs up, Cost down Wisdom “Alas, how terrible is wisdom Knowledge when it brings no profit to the man that's wise!” Information – Sophocles Data February 27, 2013 17
  • 19. Score Company descriptions for innovative big data companies: _____ indexes and makes searchable data from any app, server or network device in real time including logs, config files, messages, alerts, scripts and metrics. ______ makes sense of the world's public data to help your company answer billion dollar questions. To solve technology challenges, identify target companies, and detect disruptive trends. ______ is an innovative solution for statistical/analytics outsourcing. We are the leading platform for predictive modeling competitions. Companies, governments and researchers present datasets and problems - the world's best data scientists then compete to produce the best solutions. _______ is the single application for big data analytics. Data integration, data analytics and data visualization with the Business Infographic™ designer. From Fast Co: THE WORLD'S TOP 10 MOST INNOVATIVE COMPANIES IN BIG DATA 19
  • 21. “I’m using insights from big data to see if I’m reaching my target segment, and then richly understanding these segments in new ways.” February 27, 2013 21
  • 22. “We need to get customer insight to the front lines to reduce customer churn, not just in some exec’s inbox in a PDF report, or worse on a never-seen real time dashboard.” February 27, 2013 22
  • 23. “We’re trying to get a moneyball way of looking at the business. But we’re facing fierce resistance from the marketing and front office teams. Big data hasn’t left IT.” 23
  • 27. 27
  • 28. 28
  • 30. All types of researchers in various disciplines—including basic science, drug discovery, clinical and translational, epidemiologic, and patient behavior—will have access to the requisite data to advance their research. • Clinicians will have immediate access to cross-sectional, trending, and performance data that may facilitate improved clinical decision making. • Patients will have real-time access to information for finding reliable sources pertinent to their particular condition and in finding expertise tailored to their individual needs. • Product innovators will have the ability to query large amounts of phenotypic and molecular data, and rapidly scan patient populations for recruitment into clinical trials. DRAFT: Achieving Data Liquidity in the Cancer Community: Proposal for a Coalition of All Stakeholders. Members of the IOM National Cancer Policy Forum’s Workshop on Informatics Needs and Challenges in Cancer Research Planning Committee. Author’s views, not nec. IOM views. February 27, 2013 30
  • 31.
  • 32.
  • 36.
  • 37.
  • 38.
  • 40. The goal is really to spur the emergence of an ecosystem of innovators that leverage this open data in magical ways to improve health and healthcare in ways that no one organization, no ten organizations, could even think up let alone execute. .- Todd Park,

Notas do Editor

  1. Splunk. Quid. Kaggle. Datameer.
  2. A negative externality occurs when an individual or firm making a decision does not have to pay the full cost of the decision. If a good has a negative externality, then the cost to society is greater than the cost the customer is paying for it.Since consumers make a decision based on where their marginal cost equals their marginal benefit, and since they don't take into account the cost of the negative externality, negative externalities result in market inefficiencies unless proper action is taken.When a negative externality exists in an unregulated market, producers don't take responsibility for external costs that exist--these are passed on to society. Thus producers have lower marginal costs than they would otherwise have and the supply curve is effectively shifted down (to the right) of the supply curve that society faces. Because the supply curve is increased, more of the product is bought than the efficient amount--that is, too much of the product is produced and sold. Since marginal benefit is not equal to marginal cost, a deadweight welfare loss results.
  3. Diversity of Interactions matter more than the size of the data.