~/talk

Rise of the Data Scientist

Talkat Intelligent Content Conference 2017 · 2017-03-28..03-30· [data-science]
links:none on file
slides:none on file

Argues that marketing must move from opinion to measured proof, showing survey numbers: 66% feel respected, only 20% can demonstrate quantifiable demand and ~60% cannot calculate return on marketing investment. Describes working with data scientists to apply Google Analytics and Radian6 and to use descriptive, predictive and prescriptive models. Frames work as three practical stages — plan, create, measure — and claims data scientists statistically validate surprising connections in messy customer data.

AI-written summary · about

  1. 0:00Start
  2. 8:13As a marketer, how respected do you feel in your business?
  3. 9:22How would you describe your budgeting process?
  4. 11:20Are you able to prove you generated more Customer demand for your products and services in a business quantifiable and business measurable way?
  5. 11:40Are you trained in Marketing Performance & Return On Marketing Investment ROMD?
~/search
type to search 6,249 conferences, 138,987 speakers and 185,172 talks
~/help
cmdctrl k
search every conference, speaker and series
/
focus the filter search
h
home
c
conferences
s
speakers
e
series
t
light / dark — the status bar button does the same
?
this help
esc
close this, then clear every filter — or just the search, while you are typing in it

Ignored while you are typing. Pages without a filter rail have no search to focus.