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From YouTube: DALN - Karen Sheng
Description
Formerly known as SPN DAO, DALN is a data DAO that empowers consumers to turn credit card transaction data into assets and have direct control over the use and monetization of their data.
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A
For
monetizing
credit
card
transaction
data,
so
why
credit
card
transaction
data,
roughly
1
billion
credit
card
transactions
are
completed
per
day,
anonymized
and
aggregated
the
trans
credit
card
transaction
data
are
extremely
valuable
in
terms
of
consumer
insights
and
Market
intelligence.
For
instance.
Is
there
a
spike
of
Netflix
subscriptions
quarter
over
a
quarter,
or
are
you
wondering
if
there's
any
dip
hardware
stores,
as
the
mortgage
rate
goes
up,
these
can
easily
be
captured
in
credit
card
spending
data,
so
credit
card
spending
data
is
the
highest
grossing
data
source
in
the
so-called
alternative
data
market.
A
However,
we
as
consumers,
who
generate
those
credit
card
spending,
history
and
the
footprints,
have
little
control
over
how
and
when
our
data
is
being
used.
Despite
fueling,
multiple
billion
dollar
Industries,
the
Paradox
is
that
the
marginal
value
of
one
person's
data
is
close
to
zero
and
there
are
no
networks
on
platforms
where
we
could
effectively
coordinate
and
pull
our
data
together.
A
A
A
An
existing
down
member
could
easily
burn
a
slowbound
token
if
they
wish
to
act.
The
dial,
the
admin
dashboard
is
token.
Gated
only
is
wallet
or
model
sick
containing
the
atomic
NFC
is
authorized
to
unlock
the
dashboard
and
decrypt
data.
Both
decryption
and
the
payments
to
data
contributors
are
verifiable
on
chain.
A
A
And
then
the
next
question
is:
how
do
we
make
money
as
a
technically
as
a
data
aggregator
and
intermediary?
We
do
not
wish
to
be
another
gatekeeper
of
the
dataway
collab.
Instead,
we're
building
a
open
data
marketplace
with
web
3
native
text
deck
where
everyone,
including
Dom
members,
could
access
commission
members
are
incentivized
to
acquire
the
data
and
the
acquire
the
aggregated
data
and
the
concrete
use
cases
such
as
investment
sub-dials.
A
So
why
now?
Why
we're
building
putting
data
down
so
there's
a
reckoning
that
we
everyone's
sitting
here
and
together
weighs
billions
of
users
of
web
2
applications
and
services
are
not
just
consumers
but
data
producers,
the
food,
the
digital
Footprints
We,
Leave
Behind
and
the
the
algo
training
Algos.
The
trained
with
our
data
are
the
foundation
of
a
prominent
business
models
in
web
2.,
so
and
but
with
Webster
Technologies
we're
able
to
easily
tokenize
off-chain
data
that
we
easily
that
we
rightfully
own
and
address
challenges
in
coordination
and
collective
bargaining.